Compare commits
@@ -0,0 +1,22 @@
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name: Publish to Comfy Registry
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on:
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workflow_dispatch:
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push:
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branches:
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- main
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paths:
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- "pyproject.toml"
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jobs:
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publish-node:
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name: Publish Custom Node to registry
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runs-on: ubuntu-latest
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steps:
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- name: Check out code
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uses: actions/checkout@v4
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- name: Publish Custom Node
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uses: Comfy-Org/publish-node-action@main
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with:
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personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
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@@ -1,5 +1,791 @@
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# DEVLOG - ComfyUI-Workflow-Studio
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## 2026-05-18: v0.3.12 リリース — README スクリーンショット刷新 / workflow_analyzer 拡張
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### 概要
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- README Screenshots を旧タブ別画像（12枚）から機能特徴別の新画像（8枚）に刷新
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- `workflow_analyzer.py` に CLIPLoader type フィールド対応・新モデル種別検出を追加（NewBie / Ovis / HiDream / Wan / Cosmos / Lumina 等）
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### 変更内容
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#### `README.md`
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- バージョンバッジを `0.3.12` に更新
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- Screenshots セクションを全面刷新
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- 旧: `docs/screenshot_*.png` 参照の 6 テーブル（タブ別 12 枚）
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- 新: `docs/1_workflowtab.png`〜`docs/8_Customize.png` の機能特徴別 8 枚を 2 カラムグリッドで表示
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- キャプションはファイル名のプレフィックスを除いて整形（例: `1_workflowtab` → **Workflow Tab**）
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- `v0.3.12` changelog エントリを新規追加（RAW JSON 検索 + workflow_analyzer 拡張）
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#### `docs/`
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- 旧スクリーンショット 11 枚（`screenshot_*.png`）を削除
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- 新スクリーンショット 8 枚（`1_workflowtab.png`〜`8_Customize.png`）を追加
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#### `py/services/workflow_analyzer.py`
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**`_CLIP_TYPE_TO_MODEL` 追加**
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- CLIPLoader の type 文字列（`"flux"`, `"hidream_i"`, `"wan"`, `"cosmos"` 等）→ モデル種別名のマッピング辞書
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**`_clip_type_from_ui_node(node)` 追加**
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- UI フォーマットノードの `widgets_values` から CLIPLoader / DualCLIPLoader / TripleCLIPLoader の type 文字列を取得
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**`_collect_all_ui_nodes(workflow_data)` 追加**
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- `nodes[]` だけでなく `definitions.subgraphs[].nodes[]` も走査するジェネレータ
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- サブグラフ内のローダーノードも model_type 検出の対象になった
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**`_detect_model_type_from_name(mn_base, model_types)` 追加**
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- モデルファイル名から種別を判定するヘルパー関数に切り出し（従来はインライン記述）
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- 追加対応: NewBie / Ovis / HiDream / Wan（`wan-N` / `wan-video` パターン）
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**`analyze_workflow()` 改修**
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- ファイル名検出に NewBie / Ovis / HiDream / Wan を追加
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- `UnetLoaderGGUF` 等を含む `UnetLoader` 系を一括マッチ (`"UnetLoader" in ntype`)
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- CLIPLoader 系ノードで `clip_type` → `_CLIP_TYPE_TO_MODEL` → モデル種別を検出
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- `_model_name_from_api_node` に `clip_name1` / `clip_name` を追加（CLIPLoader の API フォーマット対応）
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- node_iter のタプルに `clip_type` を追加（`(ntype, title, mn, clip_type)`）
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- タイトル検出に HiDream / Ovis / NewBie を追加
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---
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## 2026-05-17: RAW JSON パネルに検索機能を追加
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### 概要
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生成 UI タブの RAW JSON パネルに VSCode 風の検索バーを追加。常時表示で、マッチ間ナビゲーションとクリアボタンを備える。
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### 変更内容
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#### `templates/index.html`
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- `#wfm-gen-rawjson-widget` 内にヘッダーとエディターの間で `.wfm-rawjson-search` バーを追加
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- 検索入力 (`#wfm-gen-raw-search`)
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- マッチ数表示 (`#wfm-gen-raw-search-count`、例: `3/12`)
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- 前へ ↑ / 次へ ↓ ボタン
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- ✕ クリアボタン
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- JSON コンテナ内に検索ハイライト専用オーバーレイ `<pre id="wfm-gen-raw-json-search-overlay">` を追加（シンタックスハイライト層と textarea 層の間）
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#### `static/css/main.css`
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- `.wfm-rawjson-search` — 検索バー全体のレイアウト
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- `.wfm-rawjson-search-input` — 検索入力フィールド（フォーカス時 accent カラーのボーダー）
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- `.wfm-rawjson-search-count` — マッチ数表示（min-width: 56px、中央揃え）
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- `.wfm-rawjson-search-btn` / `.wfm-rawjson-search-clear` — ナビ・クリアボタン
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- `.wfm-json-search-overlay` — 文字色を透明にし `<mark>` の背景のみを表示するオーバーレイ
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- `.wfm-search-match` — 通常マッチ: 黄色半透明
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- `.wfm-search-current` — 現在マッチ: オレンジ強調 + アウトライン
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- `.wfm-json-editor` の z-index を 2 → 3 に更新（オーバーレイが z-index: 2 を占有するため）
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#### `static/js/generate-tab.js`
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既存の「Raw JSON highlight sync on input/scroll」ブロックを拡張:
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- `updateSearchOverlay()` — 検索語でテキストを走査し `matchPositions[]` を構築、オーバーレイ HTML を生成
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- マッチなし時: カウント欄を赤字で "No results" 表示
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- 現在マッチへ自動スクロール + テキストエリアのカーソルをマッチ位置に移動
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- スクロール同期: エディター scroll イベントでオーバーレイの scrollTop/Left を追従
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- エディター入力時: シンタックスハイライト更新と並行して検索オーバーレイも更新
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- キーボード: Enter（次へ）/ Shift+Enter（前へ）/ Escape（クリア）対応
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---
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## 2026-05-17: v0.3.11 Metadata タブ対応ノードタイプ拡張 / Settings テキストサイズ UI 追加
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### 概要
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- `metadata-tab.js`（Metadata タブ本体）に `UnetLoaderGGUF` / `UNETLoaderGGUF` / `QuadrupleCLIPLoader` 対応を追加
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- `node_sets_menu.js` の I タブには v0.3.10 で追加済みだったが、Metadata タブには未反映だった
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- Settings タブに「Text Size」セクションを追加 — プロンプト・チャット系の全テキストエリアのフォントサイズを一括変更するスライダー
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### 変更内容
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#### `static/js/metadata-tab.js`
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**`extractDiffusionModels` 拡張**
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- `UNETLoader` のみ → `UNETLoader` / `UnetLoaderGGUF` / `UNETLoaderGGUF` に拡張（Set を使った判定に変更）
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- HiDream i1 Full GGUF など GGUF 形式の Diffusion Model が Metadata タブでも正しく読み取れるようになった
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**`extractTextEncoders` 拡張**
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- `QuadrupleCLIPLoader`（`clip_name1`〜`clip_name4`）を追加、LiteGraph 形式・API 形式の両方に対応
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- HiDream の 4-CLIP（clip_l / clip_g / t5xxl / llama_3.1）が全件表示されるようになった
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#### `static/js/settings-tab.js`
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**`applyTextareaFontSize(size)` 追加（export）**
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- `<style id="wfm-ta-font-size-style">` を `<head>` に注入
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- 対象セレクタ（対象を 8 箇所に一括適用）:
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| 対象 | ID |
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|---|---|
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| Generate UI — Positive Prompt | `#wfm-prompt-pos-text` |
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| Generate UI — Negative Prompt | `#wfm-prompt-neg-text` |
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| Prompt タブ — AI Assistant チャット | `#wfm-ollama-input` |
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| Prompt タブ — Preset Positive | `#wfm-preset-pos` |
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| Prompt タブ — Preset Negative | `#wfm-preset-neg` |
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| Prompt タブ — Wildcard プロンプト | `#wfm-wc-prompt` |
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| Prompt タブ — Wildcard ファイルエディタ | `#wfm-wc-editor-content` |
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| Metadata タブ — PROMPT 全文プレビュー | `#wfm-meta-prompt-full` |
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- 範囲: 10〜28px（clamp）、デフォルト 13px
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**Settings タブ HTML「Text Size」セクション追加**
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- Language Settings の下、Workflow Data Folder の上に新規 `<details>` セクション
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- `<input type="range">` スライダー (min=10, max=28, step=1) + px 値表示
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- スライダー操作でリアルタイム適用
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- 「Save Settings」ボタンで `textareaFontSize` を localStorage に保存
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#### `static/js/app.js`
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- `applyTextareaFontSize` をインポート
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- ページ読み込み直後（テーマ適用と同タイミング）に localStorage の保存値を読み込んで適用
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#### `templates/index.html`
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- `wfm-help-metadata-5`: 対応ローダーを明記（UNETLoader / UnetLoaderGGUF / UNETLoaderGGUF / CLIPLoader / DualCLIPLoader / TripleCLIPLoader / QuadrupleCLIPLoader）
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- `wfm-help-settings-11` 新規追加: Text Size スライダーの説明
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### 検証済みファイル
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| ファイル | Metadata タブでの検出内容 |
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|---|---|
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| `n-hidream_i1_full.png` | Diffusion Model: `hidream-i1-full-Q5_0.gguf`（UnetLoaderGGUF）、Text Encoder: 4 件（QuadrupleCLIPLoader）、VAE: 1 件 |
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---
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## 2026-05-17: v0.3.10 Information タブ キャンバスドラッグ対応 / ノードタイプ拡張 / バグ修正
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### 概要
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- サイドパネル I タブ（model / lora / Prompts）からキャンバスへのドラッグ＆ドロップでノードを配置できるようにした
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- Multiple LORA セクションの追加（全 LoRA を Lora Loader (LoraManager) に一括配置）
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- `UnetLoaderGGUF` / `QuadrupleCLIPLoader` 対応（HiDream 等の GGUF / 4-CLIP ワークフロー）
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- `CLIPLoader` のウィジェット名誤りを修正
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- プレビューエリアの高さを固定し、モデル/プロンプトリストが潰れる問題を修正
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### 変更内容
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#### `web/comfyui/node_sets_menu.js`
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**キャンバスドラッグ対応（新規）**
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- `placeClipTextEncodeNode(text, pos)` 追加 — `CLIPTextEncode` ノードをテキスト入力済みで配置
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- `placeLoraMgrNode(loras, pos)` 追加 — `Lora Loader (LoraManager)` ノードを全 LoRA データ付きで配置
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- キャンバスドロップハンドラに新 MIME タイプを追加:
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- `application/x-wfm-lora-multi` → `placeLoraMgrNode`
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- `application/x-wfm-clip-text` → `placeClipTextEncodeNode`
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**`renderInfoModels` 更新**
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- 各セクションに `modelType`（`checkpoint` / `vae` / `unet` / `textencoder`）を追加
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- アイテムを `draggable = true` に設定、`dragstart` で `application/x-wfm-model` を送信
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- ダブルクリックで `placeModelNode` 呼び出し
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**`renderInfoLoras` 更新**
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- 各 LoRA アイテムを `draggable = true` に設定、`dragstart` で `application/x-wfm-model`（type: `"lora"`）を送信
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- ダブルクリックで `placeModelNode` 呼び出し
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- **Multiple LORA セクション追加** — LoRA が 1 件以上あれば下部に表示
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- `application/x-wfm-lora-multi` で全 LoRA データを転送
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- ダブルクリックで `placeLoraMgrNode` 呼び出し
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**`renderInfoPrompts` 更新**
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|
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- 各プロンプトアイテムを `draggable = true` に設定、`dragstart` で `application/x-wfm-clip-text` を送信
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- ダブルクリックで `placeClipTextEncodeNode` 呼び出し
|
||||
|
||||
**`_extractDiffusionModels` 更新**
|
||||
|
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- `UNETLoader` のみ → `UNETLoader` / `UnetLoaderGGUF` / `UNETLoaderGGUF` に拡張（GGUF 形式対応）
|
||||
|
||||
**`_extractTextEncoders` 更新**
|
||||
|
||||
- `QuadrupleCLIPLoader`（`clip_name1`〜`clip_name4`）を追加（HiDream 等 4-CLIP モデル対応）
|
||||
- LiteGraph 形式・API 形式の両方に対応
|
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|
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**バグ修正: `MODEL_NODE_MAP` の `textencoder` ウィジェット名**
|
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|
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- `clip_name1`（DualCLIPLoader のウィジェット名）→ `clip_name`（CLIPLoader の正しいウィジェット名）に修正
|
||||
- これにより Text Encoder ドラッグ時に正しいモデルファイル名が設定される
|
||||
|
||||
**プレビューエリア高さ固定**
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||||
|
||||
- `.wfm-nlp-info-drop` を `min-height: 54px`（可変）→ `height: 110px`（固定）に変更
|
||||
- 大きな画像ロード時にモデル/プロンプトリストが圧迫される問題を解消
|
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|
||||
**CSS 追加**
|
||||
|
||||
- `.wfm-nlp-info-item--draggable` — `cursor: grab`、ホバー背景、ドラッグ中 `opacity: 0.5`
|
||||
- `.wfm-nlp-info-prompt-item` — `cursor: pointer` → `cursor: grab` に変更、`user-select: none` 追加
|
||||
|
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**ヘルプ更新**
|
||||
|
||||
- `index.html`: `wfm-help-sidepanel-13` 更新、`wfm-help-sidepanel-14` / `15` 新規追加
|
||||
- `app.js`: i18n マッピングに `14` / `15` 追加
|
||||
- `i18n.js`: EN / JA / ZH 3 言語すべてに `helpSidepanel13` 更新と `helpSidepanel14` / `15` 追加
|
||||
|
||||
### 対応確認済みワークフロー
|
||||
|
||||
| ファイル | 検出内容 |
|
||||
|---|---|
|
||||
| `non-hidream_i1_full.png` | Diffusion Model: `hidream-i1-full-Q5_0.gguf`（UnetLoaderGGUF）、Text Encoder: 4 件（QuadrupleCLIPLoader）、VAE: 1 件 |
|
||||
|
||||
---
|
||||
|
||||
## 2026-05-16: v0.3.9 サイドパネル I タブ追加 / トップバーアイコン修正
|
||||
|
||||
### 概要
|
||||
|
||||
- ComfyUI サイドパネルのタブを W / N / P / M / **I** の 5 タブ構成に変更し、I タブ（Information / Metadata）を追加
|
||||
- トップバーアイコン（Workflow Studio / カメラ / Node Sets）が表示されない不具合を修正
|
||||
|
||||
### 変更内容
|
||||
|
||||
#### `web/comfyui/node_sets_menu.js`
|
||||
|
||||
**タブラベル短縮（□スタイル）**
|
||||
|
||||
- Workflows → **W**、Nodes → **N**、Prompts → **P**、Models → **M**
|
||||
- ホバー時に `title` 属性でフルネームを表示
|
||||
- CSS: 細ボーダー + アクティブ時に青ボーダーの□スタイル
|
||||
|
||||
**I タブ（Information / Metadata）追加**
|
||||
|
||||
- サブタブ: **model** / **lora** / **Prompts**
|
||||
- ファイルドロップエリア（常時表示、クリックでファイル選択も可）
|
||||
- ファイル情報行（ファイル名・サイズ・形式、常時表示）
|
||||
- model: Checkpoint / VAE / Diffusion Model / Text Encoder（LoRA 除く）
|
||||
- lora: LoRA 名 + strength_model / strength_clip 値
|
||||
- Prompts: POS / NEG バッジ付きリスト → クリックで全文プレビュー（height: 160px）+ Copy ボタン（1.2 秒「Copied!」表示）
|
||||
- メタデータ解析ロジックは `metadata-tab.js` から移植（関数名に `_` プレフィックス付き）
|
||||
- ドロップエリア min-height: 54px、プレビューエリア height: 160px
|
||||
|
||||
#### `web/comfyui/top_menu_extension.js`
|
||||
|
||||
**バグ修正: トップバーアイコン非表示**
|
||||
|
||||
- **原因**: `applyButtonIcon()` 内の `if (button.querySelector("svg")) return` チェックにより、
|
||||
新しい ComfyUI が Iconify で MDI クラス（`icon-[mdi--...]`）をインライン SVG に変換した際、
|
||||
すでに SVG が存在すると判定されてカスタム SVG への置換がスキップされていた
|
||||
- **修正**: 早期リターンチェックを削除し、常に `innerHTML` を上書きするよう変更
|
||||
- MutationObserver ベースの監視を廃止し、lora-manager と同パターンの `requestAnimationFrame` リトライ方式に統一
|
||||
- ボタン未発見時のみリトライ（発見後はリトライを停止）
|
||||
|
||||
---
|
||||
|
||||
## 2026-05-16: v0.3.8 Metadata タブ: data9 対応 / プロンプト判別不能テキスト
|
||||
|
||||
### 概要
|
||||
|
||||
data9 の新規ワークフロー（Flux.2 Dev fp8、Flux.2 Klein 4B Distilled、Ernie Image、
|
||||
Qwen-Image-Edit 2511、WAN2.2 14B Animate）の Metadata タブ表示に対応。
|
||||
あわせて、ポジティブ / ネガティブの判別ができないプロンプトを **Text（バッジなし）** として
|
||||
区別して表示する仕様に変更した。
|
||||
|
||||
### 問題と原因
|
||||
|
||||
| ファイル | 問題 |
|
||||
|---|---|
|
||||
| image_flux2_fp8.json | `SamplerCustomAdvanced` に positive/negative 入力ポートがなく、リンク解決でプロンプトが空になる |
|
||||
| image_ernie_image.json | `PrimitiveStringMultiline` がサブグラフ内にあり、ステップ4（トップのみ対象）で見つからない |
|
||||
| image_qwen_image_edit_2511.json | `TextEncodeQwenImageEditPlus` → `FluxKontextMultiReferenceLatentMethod` → KSampler という中間ノード経由で textMap にプロンプトが登録されない |
|
||||
| video_wan2_2_14B_animate.json | トップレベルの CLIPTextEncode とサブグラフ内の KSampler がクロスレベル接続され、単一レベル解析では取得できない |
|
||||
|
||||
### 変更内容
|
||||
|
||||
#### `static/js/metadata-tab.js`
|
||||
|
||||
**`extractPromptsFromNodeSet`**
|
||||
|
||||
- CLIPTextEncode のテキスト入力リンクのソースノードのタイプ制限を撤廃
|
||||
- 旧: `isPromptStylerNode` または `WFS_PromptText` のみ
|
||||
- 新: PromptStyler 以外は任意ノードの `widgets_values[originSlot]`（`ComfySwitchNode`、`PrimitiveStringMultiline` 等を包含）
|
||||
- テキスト入力名に `"prompt"` を追加（`TextEncodeQwenImageEditPlus` 対応）
|
||||
- `foundSampler = true` かつ pos / neg が両方空の場合（`SamplerCustomAdvanced` 等）、
|
||||
textMap のテキストを `{ positives: [], negatives: [], texts: [...] }` として返すよう変更
|
||||
（旧: `return null`）
|
||||
|
||||
**`extractPromptsLiteGraph`**
|
||||
|
||||
- ステップ4 `PrimitiveStringMultiline` — `nodes`（トップのみ）→ `collectAllNodes(wf)`（サブグラフ含む）に変更
|
||||
- 戻り値: `{ positives: primTexts, negatives: [] }` → `{ positives: [], negatives: [], texts: primTexts }`
|
||||
- ステップ7 最終フォールバック — `nodes`（トップのみ）→ `collectAllNodes(wf)`（サブグラフ含む）に変更
|
||||
- 戻り値: `{ positives: all, negatives: all }` → `{ positives: [], negatives: [], texts: all }`
|
||||
|
||||
**`extractPromptsAPI`**
|
||||
|
||||
- フォールバック時の戻り値: `{ positives: all, negatives: all }` → `{ positives: [], negatives: [], texts: all }`
|
||||
|
||||
**UI**
|
||||
|
||||
- `buildPromptItem`: `type === "text"` のときバッジ（POS/NEG）を表示しない
|
||||
- `buildPromptItem`: fullLabel に `t("metaPromptText")` を使用
|
||||
- `handleFile`: `(meta.texts ?? []).map(p => ({ type: "text", text: p }))` を allPrompts に追加
|
||||
|
||||
#### `static/js/i18n.js`
|
||||
|
||||
- `metaPromptText` を EN / JA / ZH に追加（"Text" / "テキスト" / "文本"）
|
||||
|
||||
### 対応済みワークフロー（data/data9）
|
||||
|
||||
| ファイル | 適用ステップ | プロンプト結果 |
|
||||
|---|---|---|
|
||||
| image_flux2_fp8.json | step5（サブグラフ + SamplerCustomAdvanced fallback） | texts（バッジなし） |
|
||||
| image_flux2_klein_image_edit_4b_distilled.json | step5（サブグラフ CLIPTextEncode + KSampler） | texts（バッジなし） |
|
||||
| image_ernie_image.json | step4（PrimitiveStringMultiline in subgraph） | texts（バッジなし） |
|
||||
| image_qwen_image_edit_2511.json | step5（TextEncodeQwenImageEditPlus fallback） | texts（バッジなし） |
|
||||
| video_wan2_2_14B_animate.json | step7（全ノード fallback） | texts（バッジなし） |
|
||||
|
||||
---
|
||||
|
||||
## 2026-05-15: v0.3.7 Metadata タブ: Flux2 / Qwen / Z-Image 対応
|
||||
|
||||
### 概要
|
||||
|
||||
ComfyUI 公式テンプレート（Flux.2 Dev/Klein、Qwen-Image-Edit、Z-Image）で使われる
|
||||
**サブグラフ（subgraph）形式**ワークフローの Metadata タブ読み込みに対応。
|
||||
|
||||
- `definitions.subgraphs` 内の `UNETLoader` / `CLIPLoader` / `VAELoader` / `LoraLoaderModelOnly` からモデルを抽出
|
||||
- `MarkdownNote` ノードの `**section** → - [model](url)` パターンからモデルを補完（フォールバック）
|
||||
- サブグラフ内の `CLIPTextEncode + KSampler` リンクを辿ってプロンプトを取得
|
||||
- `PrimitiveStringMultiline` ノード（flux2-klein など）からプロンプトを取得
|
||||
|
||||
### 変更内容
|
||||
|
||||
#### `static/js/metadata-tab.js`
|
||||
|
||||
- **`extractPromptsFromNodeSet(nodes, links)`** 新規追加
|
||||
CLIPTextEncode + KSampler によるプロンプト抽出ロジックを汎用化。トップレベル・サブグラフの両方で再利用
|
||||
- **`extractMarkdownNoteModels(wf)`** 新規追加
|
||||
`MarkdownNote` の `**section**` → `- [name](url)` を正規表現で解析し、text_encoders / diffusion_models / vae / loras を抽出
|
||||
- **`extractCheckpoints` / `extractVAEs`** を `collectAllNodes()` 使用に修正
|
||||
サブグラフ内のノードも走査対象に
|
||||
- **`extractPromptsLiteGraph`** を 7 段階フォールバック構成に再設計
|
||||
1. ImageMetadataPromptLoader → 2. WFS_PromptText → 3. トップレベルCLIPTextEncode+KSampler →
|
||||
4. PrimitiveStringMultiline → **5. サブグラフCLIPTextEncode+KSampler（新規）** →
|
||||
6. PromptStyler → 7. 全CLIPTextEncodeテキスト
|
||||
- **`fromWorkflow`** に MarkdownNote フォールバック補完を追加
|
||||
|
||||
### 対応済みワークフロー（data/data8）
|
||||
|
||||
| ファイル | モデル抽出 | プロンプト抽出 |
|
||||
|---|---|---|
|
||||
| image_flux2_fp8.json | UNETLoader + CLIPLoader + VAELoader + LoraLoader (subgraph) | CLIPTextEncode (subgraph) |
|
||||
| image_flux2_klein_text_to_image.json | UNETLoader + CLIPLoader + VAELoader (subgraph) | PrimitiveStringMultiline |
|
||||
| image_qwen_image_edit.json | UNETLoader + CLIPLoader + VAELoader + LoraLoader (subgraph) | なし（画像入力のみ） |
|
||||
| image_qwen_image_edit_2511.json | 同上 | なし |
|
||||
| image_qwen_image_layered.json | UNETLoader + CLIPLoader + VAELoader (subgraph) | PrimitiveStringMultiline |
|
||||
| image_z_image.json | UNETLoader + CLIPLoader + VAELoader (subgraph) | CLIPTextEncode (subgraph) |
|
||||
| image_z_image_turbo.json | 同上 | CLIPTextEncode (subgraph) |
|
||||
|
||||
#### `static/js/i18n.js` + `templates/index.html`
|
||||
|
||||
- `metaFormatTodo` を「Flux.2 / Qwen-Image / Z-Image サブグラフ形式に対応済み」に更新（EN/JA/ZH）
|
||||
- `helpMetadata5` の対応フォーマット一覧を更新し Flux.2 / Qwen-Image / Z-Image を明記（EN/JA/ZH）
|
||||
- index.html フォールバックテキストも同内容に更新
|
||||
|
||||
---
|
||||
|
||||
## 2026-05-15: v0.3.6 Metadata タブ追加
|
||||
|
||||
### 概要
|
||||
|
||||
- PNG / WebP / JSON からモデル・LoRA・プロンプト情報を抽出・表示する Metadata タブを追加
|
||||
- タブ位置は Prompt タブの右隣（Prompt → Metadata → Gallery）
|
||||
- プロンプト抽出ロジックを改善し SDXL Prompt Styler を使用したワークフローにも対応
|
||||
- 抽出プロンプトを GenerateUI タブ・Prompt タブのプリセットへワンクリックで転記するボタンを追加
|
||||
- 左ペインに対応フォーマット説明と今後の対応予定ノートを追加
|
||||
- ヘルプタブに Metadata タブの説明カードを追加（EN/JA/ZH i18n 対応）
|
||||
|
||||
### 変更内容
|
||||
|
||||
#### `static/js/metadata-tab.js` — 新規作成
|
||||
|
||||
**メタデータ抽出ロジック（`model-and-prompt-from-metadata` の `workflow_utils.js` ベース）**
|
||||
|
||||
- `sanitizeJSON(text)` — JSON に含まれる `NaN` / `Infinity` を `null` に置換
|
||||
- `readWebPEXIFChunk(file)` — WebP RIFF チャンクから EXIF を読み取る
|
||||
- `extractWorkflowFromEXIF(exifBytes)` — EXIF バイト列から `workflow:` / `prompt:` キーを検索してワークフロー JSON を返す
|
||||
- `readAllPNGTextChunks(file)` — PNG tEXt / iTXt チャンクをすべて読み取って `{ keyword: text }` マップを返す（IEND 以降のチャンクも読む）
|
||||
- `extractCheckpoints / extractVAEs / extractDiffusionModels / extractTextEncoders / extractLoRAs` — LiteGraph 形式・API 形式の両方に対応したモデル抽出関数群
|
||||
- `extractPrompts(wf)` — 形式を判定して `extractPromptsLiteGraph` / `extractPromptsAPI` に振り分け
|
||||
- **`resolveLinkedText(wf, srcId, slot)`** — API 形式でのリンク参照 `[nodeId, slot]` を解決。`PromptStyler` 系ノードは `text_positive` / `text_negative` を slot に応じて返す
|
||||
- `extractPromptsAPI(wf)` — CLIPTextEncode の text 入力がリンク参照（配列）の場合に `resolveLinkedText` で解決するよう修正
|
||||
- `extractPromptsLiteGraph(wf)` — **`linkSlot` マップを追加**（リンクの origin_slot を追跡）; CLIPTextEncode の inputs にリンクがある場合に `PromptStyler` / `WFS_PromptText` の `widgets_values[originSlot]` を解決; フォールバック時にも `PromptStyler` ノードを直接スキャン
|
||||
- SD WebUI / SD Forge / Fooocus の `parameters` チャンク解析（`parseSDAParameters`, `parseFooocusMetadata`）
|
||||
- `extractAllMetadata(file)` — PNG / WebP / JSON を統合して `{ source, checkpoints, vaes, diffusionModels, textEncoders, loras, positives, negatives }` を返す
|
||||
|
||||
**UI**
|
||||
|
||||
- `buildModelItem(label)` — モデル名アイテム（テキストオーバーフロー省略）
|
||||
- `buildLoRAItem(lora)` — LoRA 名 ＋ `strength_model/strength_clip` バッジ付きアイテム
|
||||
- `buildPromptItem(label, type, full, ...)` — POS/NEG バッジ付きクリッカブルアイテム。クリックで下部テキストエリアに全文を表示し選択ハイライト
|
||||
- `renderSection(sectionEl, listEl, items, buildFn)` — アイテムが空の場合は `.wfm-meta-section-empty` クラスを付与してリストを非表示
|
||||
- `initMetadataTab()` — タブ初期化
|
||||
- ドロップゾーン / クリックでファイル選択 / drag-over スタイル切り替え
|
||||
- 画像ファイルはプレビューとして表示、JSON はドロップラベルを維持
|
||||
- ファイル処理後に各セクションをレンダリング。最初の positive プロンプトを自動選択
|
||||
- セクションタイトル・フォーマットノート・ヘルプカードの i18n 適用
|
||||
- **プロンプトアクションボタン**:
|
||||
- Copy — `navigator.clipboard.writeText` でプレビュー内容をコピー
|
||||
- GenUI:P / GenUI:N — `#wfm-prompt-pos-text` / `#wfm-prompt-neg-text` に値をセット
|
||||
- Prompt:P / Prompt:N — `#wfm-preset-pos` / `#wfm-preset-neg` に値をセット
|
||||
- 成功時は緑のフラッシュアニメーション（`wfm-meta-btn-flash`）
|
||||
|
||||
#### `templates/index.html`
|
||||
|
||||
- タブナビに `<button class="wfm-tab" data-tab="metadata">Metadata</button>` を Prompt と Gallery の間に追加
|
||||
- `#wfm-tab-metadata` セクションを追加（Prompt セクションの直後、Settings セクションの前）:
|
||||
- `.wfm-metadata-layout`（3列グリッド: 220px | 1fr | 1fr）
|
||||
- Col1: ドロップゾーン（`#wfm-meta-drop`）＋プレビュー画像＋ファイル情報（`#wfm-meta-file-info`）＋対応フォーマットノート（`#wfm-meta-format-note`）
|
||||
- Col2: Checkpoint / VAE / Diffusion Model / Text Encoder の各セクション
|
||||
- Col3: LoRA セクション＋Prompt セクション（リスト＋全文テキストエリア＋アクションボタン行）
|
||||
- Help タブ: Prompt Tab カードと Settings Tab カードの間に Metadata Tab カードを追加（`wfm-help-metadata-title/desc/1〜5`）
|
||||
|
||||
#### `static/js/app.js`
|
||||
|
||||
- `import { initMetadataTab } from "./metadata-tab.js"` を追加
|
||||
- `tabMap` に `metadata: "tabMetadata"` を追加
|
||||
- `DOMContentLoaded` 内に `initMetadataTab()` を追加（`initPromptTab()` の直後）
|
||||
|
||||
#### `static/js/i18n.js`
|
||||
|
||||
EN / JA / ZH の3言語に以下を追加:
|
||||
|
||||
- `tabMetadata` — タブラベル
|
||||
- `metaSectionCkpt / Vae / Diff / Te / Lora / Prompt` — 各セクションタイトル
|
||||
- `metaDropMain / metaDropSub` — ドロップゾーンラベル
|
||||
- `metaParsing / metaFileTooLarge / metaNoMetadata / metaParseError` — ステータスメッセージ
|
||||
- `metaPromptPositive / metaPromptNegative / metaSelectPrompt` — プロンプトエリアラベル
|
||||
- `metaFormatNoteTitle / metaFmtComfyui / metaFmtSdwebui / metaFmtFooocus / metaFormatTodo` — フォーマットノート
|
||||
- `helpMetadataTitle / helpMetadataDesc / helpMetadata1〜5` — ヘルプカード
|
||||
|
||||
#### `static/css/main.css`
|
||||
|
||||
以下のスタイルを末尾に追加:
|
||||
|
||||
- `#wfm-tab-metadata` / `.wfm-metadata-layout` — 3列グリッドレイアウト
|
||||
- `.wfm-metadata-col1/col2/col3` — 各列の flex レイアウト・ボーダー・スクロール
|
||||
- `.wfm-metadata-drop-zone` (+ `.drag-over` / `:hover`) — ドロップゾーンのボーダー・背景切り替え
|
||||
- `.wfm-meta-drop-label / main / sub` — ドロップラベル
|
||||
- `.wfm-meta-preview-img` — プレビュー画像（object-fit: contain）
|
||||
- `.wfm-meta-file-info` — ファイル情報テキスト
|
||||
- `.wfm-meta-section` (+ `.wfm-meta-section-empty`) — セクションコンテナ（空時はリストを非表示・タイトルを半透明）
|
||||
- `.wfm-meta-section-title` — セクション見出し（uppercase + letter-spacing）
|
||||
- `.wfm-meta-list` — スクロール可能アイテムリスト（`max-height: 140px`）
|
||||
- `.wfm-meta-item` / `.wfm-meta-item-clickable` (+ `:hover` / `.selected`) — アイテム行
|
||||
- `.wfm-meta-item-name / badge` — アイテム名・バッジ
|
||||
- `.wfm-meta-badge-pos / neg` — POS（緑）/ NEG（赤）バッジ
|
||||
- `.wfm-meta-prompt-section / full-wrap / full-label / full` — プロンプト全文エリア（`min-height: 80px`）
|
||||
- `.wfm-meta-prompt-actions` — ボタン行（flex wrap）
|
||||
- `.wfm-meta-btn-flash` — 成功時フラッシュアニメーション
|
||||
- `.wfm-meta-format-note / note-title / format-list / format-todo` — フォーマットノートスタイル
|
||||
|
||||
---
|
||||
|
||||
## 2026-05-09: v0.3.5 GenerateUI — Feeder サブタブ・ワークフロー解析精度向上
|
||||
|
||||
### 概要
|
||||
|
||||
- comfyui-image-feeder カスタムノード対応の Feeder サブタブを GenerateUI タブに追加
|
||||
- `analyzeWorkflow` の精度向上（SDXL 多段 CONDITIONING チェーン BFS 展開、新ノード種対応、KSamplerAdvanced seed 修正）
|
||||
- Help タブに Feeder サブタブの説明カードを追加（EN/JA/ZH i18n 対応）
|
||||
|
||||
### 変更内容
|
||||
|
||||
#### `static/js/feeder-tab.js` — 新規作成
|
||||
|
||||
- `_s = { dir, images, selected (Set), presets, running }` モジュール状態
|
||||
- `_feederNodes()` — currentWorkflow から `class_type === "ImageFeeder"` のノードを列挙
|
||||
- `refreshFeederNodeList()` — ノードセレクターを再描画（ワークフロー読み込み時に呼ばれる）
|
||||
- `_loadFromNode(nodeId)` — ノード inputs を左ペインの各フィールドに反映
|
||||
- `_applyToNode(nodeId)` — フィールド値を currentWorkflow のノード inputs に書き戻す
|
||||
- `_applyToWorkflow()` — Apply ボタン用（`_applyToNode` 呼び出し＋toast）
|
||||
- フォルダツリー: `_loadTree()` / `_renderTree()` / `_makeTreeRow()` / `_selectDir()` / `_highlightTreeRow()` — `/image_loop/tree` API からツリーを描画
|
||||
- 画像グリッド: `_loadImages()` / `_renderGrid()` / `_makeCard()` / `_refreshGridCbs()` / `_selectAll()` / `_deselectAll()` — `/image_loop/images` API からサムネイルカードを描画、チェックボックスで選択管理
|
||||
- プレビュー: `_showPreview()` — カードクリックで右ペインに拡大プレビューと `/image_loop/image_info` の情報を表示
|
||||
- プリセット: `_loadPresets()` / `_renderPresets()` / `_savePreset()` / `_applyPreset()` / `_deletePreset()` — `/image_feeder/presets` API を使用
|
||||
- ステータスバー: `_updateStatus()` — 現在フォルダと選択枚数/総枚数を表示
|
||||
- Run ループ: `_startRun()` / `_stopRun()` / `_setRunUI()`
|
||||
- Run 前に WebSocket を接続し `image_loop_node_sync` メッセージを専用ハンドラで捕捉
|
||||
- 各反復で `_applyToNode` → `comfyUI.generate()` → 結果画像を右ペインに表示
|
||||
- `comfyUI.generate` には右ペインの seed mode/value を使用（KSampler のシードを正しく制御）
|
||||
- After gen モード (`wfm-feeder-control-after`):
|
||||
- `loop`: `_lastSync.next_index` で index を更新し無限継続（`has_next=false` でも折り返して継続）
|
||||
- `increment`: index を更新し `has_next=false` で自動停止
|
||||
- `fixed`: index を変えず同じ画像で繰り返し
|
||||
- 生成ごとに右ペインの seed 表示を更新
|
||||
- `initFeederTab()` — 全コントロールのイベントリスナーを登録し `_loadTree()` / `_loadPresets()` を並列実行
|
||||
|
||||
#### `static/js/generate-tab.js`
|
||||
|
||||
- `import { initFeederTab, refreshFeederNodeList } from "./feeder-tab.js"` を追加
|
||||
- `loadWorkflowIntoEditor()` に `refreshFeederNodeList()` 呼び出しを追加
|
||||
- `moveRawJsonToTab()`: `tabKey === "feeder"` の場合は Raw JSON ウィジェットを非表示（feeder タブには rawjson-col がないため）
|
||||
- `initGenerateTab()` に `await initFeederTab()` を追加
|
||||
|
||||
#### `templates/index.html`
|
||||
|
||||
- サブタブナビに `<button data-subtab="feeder">Feeder</button>` を追加
|
||||
- `wfm-gen-subtab-feeder` コンテンツ div を追加:
|
||||
- 左ペイン (`.wfm-feeder-settings`): ノードセレクター・Apply・全パラメータフィールド・プリセット管理・Run セクション（After gen セレクト + Run/Stop ボタン）
|
||||
- 中央ペイン (`.wfm-feeder-library`): ステータスバー + ライブラリ本体（フォルダツリー・画像グリッド・プレビューパネル）
|
||||
- Help タブ: GenerateUI Tab カードの説明を "4-tab layout" に更新
|
||||
- Help タブ: Feeder サブタブ説明カードを追加（`wfm-help-feeder-title` / `wfm-help-feeder-desc` / `wfm-help-feeder-1`〜`9` の id 付き）
|
||||
|
||||
#### `static/css/main.css`
|
||||
|
||||
Feeder 専用スタイルを末尾に追加:
|
||||
- `.wfm-feeder-layout` — flex 横並び全体レイアウト
|
||||
- `.wfm-feeder-settings` — 左ペイン（幅 220px、縦スクロール）
|
||||
- `.wfm-feeder-pane-header` / `.wfm-feeder-field-row` / `.wfm-feeder-label` / `.wfm-feeder-input` — フォームレイアウト
|
||||
- `.wfm-feeder-library` / `.wfm-feeder-status-bar` / `.wfm-feeder-library-body` — 中央ペイン構造
|
||||
- `.wfm-feeder-tree-pane` / `.wfm-feeder-tree-scroll` / `.wfm-feeder-tree-row` (+ `:hover` / `.active`) / `.wfm-feeder-tree-msg` — フォルダツリー
|
||||
- `.wfm-feeder-grid-pane` / `.wfm-feeder-grid` / `.wfm-feeder-grid-msg` — 画像グリッドコンテナ
|
||||
- `.wfm-feeder-card` (+ `:hover` / `.selected`) / `.wfm-feeder-card-cb` / `.wfm-feeder-card-img` / `.wfm-feeder-card-name` — 画像カード
|
||||
- `.wfm-feeder-preview-pane` / `.wfm-feeder-preview-img` / `.wfm-feeder-preview-name` / `.wfm-feeder-preview-info` — プレビューパネル
|
||||
|
||||
#### `static/js/comfyui-workflow.js`
|
||||
|
||||
`analyzeWorkflow` を3パス構成に再構成:
|
||||
|
||||
- **Pass 1**: KSampler / KSamplerAdvanced を検出し `sampler_nodes` に追加
|
||||
- `seedKey`: `"seed" in inputs ? "seed" : "noise_seed"` で KSamplerAdvanced の `noise_seed` に対応
|
||||
- LoraLoader 検出を追加
|
||||
- **Pass 1b**: BFS 展開（最大5イテレーション）で CONDITIONING チェーンの positive/negative 帰属を伝播
|
||||
- `COND_PASSTHROUGH` セット: ConditioningCombine / ConditioningConcat / ConditioningAverage / ConditioningZeroOut / ConditioningSetTimestepRange / ControlNetApply / ControlNetApplyAdvanced / IPAdapterApply / IPAdapterApplyFaceID / StyleModelApply
|
||||
- リンク接続入力を持つノードも帰属を伝播（CLIPTextEncodeSDXL の text_g / text_l が他ノードにリンクされている場合）
|
||||
- **Pass 2**: 新ノード種の検出
|
||||
- `CLIPTextEncodeSDXL` / `CLIPTextEncodeSDXLRefiner`: `text_g` / `text_l` が文字列値の場合のみ prompt_nodes に追加
|
||||
- `TextEncodeQwenImageEditPlus`: `inputs.prompt` を prompt_nodes に追加
|
||||
- `SDXLPromptStyler` / `SDXLPromptStylerAdvanced`: `text_positive` / `text_negative` をそれぞれ role 付きで追加
|
||||
- `CheckpointLoader` (WAS): `ct === "Checkpoint Loader"`（スペースあり）を含む判定に修正
|
||||
- `PrimitiveStringMultiline` / `PrimitiveString`: positive/negative ref がある場合のみ prompt_nodes に追加
|
||||
- `Power Lora Loader (rgthree)`: `lora_\d+` キーをスキャンして lora_nodes に追加
|
||||
|
||||
#### `static/js/comfyui-editor.js`
|
||||
|
||||
- KSampler パラメータエディタの hidden input に `data-seed-key` 属性を追加
|
||||
- Apply 時に `dataset.seedKey`（`"seed"` または `"noise_seed"`）を参照して正しいキーに書き込む
|
||||
|
||||
#### `static/js/i18n.js`
|
||||
|
||||
- EN / JA / ZH: `helpGen3` を "4-tab layout" / "4タブ構成" / "4标签布局" に更新
|
||||
- EN / JA / ZH: `helpFeederTitle` / `helpFeederDesc` / `helpFeeder1`〜`9` を追加
|
||||
|
||||
#### `static/js/app.js`
|
||||
|
||||
- `helpIdMap` に `wfm-help-feeder-title` / `wfm-help-feeder-desc` / `wfm-help-feeder-1`〜`9` を追加
|
||||
|
||||
---
|
||||
|
||||
## 2026-04-29: v0.3.4 GenerateUI — Checkpoint Batch 刷新・Settings 横並びレイアウト・ヘルプ i18n 修正
|
||||
|
||||
### 概要
|
||||
|
||||
- Checkpoint Batch: フォルダツリー型ドロップダウン選択に刷新（テキスト入力の Include/Exclude フォルダ指定を廃止）
|
||||
- Checkpoint Batch: 第二階層以下のサブフォルダにも対応
|
||||
- Checkpoint Batch: 一時停止 / 再開（Pause/Resume）ボタンを追加
|
||||
- GenerateUI Settings タブ: KSampler と Latent Image を横並び（各50%幅）に変更
|
||||
- Help タブ: 最新機能に合わせて説明を更新し、i18n 対応漏れ（Gallery 5〜11、Gen 11）を修正
|
||||
|
||||
### 変更内容
|
||||
|
||||
#### `templates/index.html`
|
||||
|
||||
- Checkpoint Batch パネルの Include/Exclude テキスト入力を廃止し、チェックボックス付きドロップダウンに置き換え
|
||||
- フォルダヘッダー行: チェックボックス + ▶ 展開矢印 + フォルダ名 + ファイル数
|
||||
- ファイル行: インデント + チェックボックス + ファイル名（フルパスを tooltip 表示）
|
||||
- パネル上部: Filter 検索入力 + All / None ボタン
|
||||
- バッチ進行エリアのプログレスバー下に Pause ボタンを追加（実行中のみ有効）
|
||||
- ヘルプ: `wfm-help-gen-6`（横並びレイアウト）・`wfm-help-gen-11`（新バッチ機能）の初期テキストを更新
|
||||
|
||||
#### `static/js/generate-tab.js`
|
||||
|
||||
- `_parseFolderList()` / `_getModelFolder()` / `_filterCheckpoints()` を削除
|
||||
- `_ckptState = { mode: "all"|"some"|"none", selected: Set<modelPath> }` で選択状態を管理
|
||||
- `"all"`: 全選択（selected は空）、`"some"`: 部分選択、`"none"`: 全解除
|
||||
- `_buildFolderTree(models)` — モデルパスをフォルダ → モデルリストの Map に変換（`lastIndexOf("/")` で第二階層以下にも対応）
|
||||
- `_getFolderCheckState(folderModels)` — `"checked"` / `"indeterminate"` / `"unchecked"` を返す
|
||||
- `_toggleSingleModel()` / `_toggleFolderModels()` — 単体・フォルダ一括のトグルロジック（all/none/some の状態遷移を管理）
|
||||
- `_rebuildCkptList()` — フォルダグループ形式の DOM を動的生成（▶ 展開・折りたたみ、`checkbox.indeterminate` 対応）
|
||||
- `_getSelectedCheckpoints()` — mode に応じた選択リストを返す
|
||||
- `_ckptBatch.paused` フラグと `_waitIfPaused()` で一時停止・再開を実装（Promise 待機 + resolve で解除）
|
||||
- `_setPauseBtnState(paused)` — ボタンのテキスト・スタイルを Pause ↔ Resume で切り替え
|
||||
- `initCheckpointBatch()` に Pause/Resume ボタンのハンドラを追加
|
||||
- `_runBatchGenerate()`: ループ先頭で `await _waitIfPaused()`、一時停止時にステータステキストを "Paused" 表示、finally ブロックで状態クリーンアップ
|
||||
- Interrupt（Stop）ボタン: `_ckptBatch.paused = false` と `_resumeResolve()` を呼んで一時停止待機を即解除
|
||||
|
||||
#### `static/js/comfyui-editor.js`
|
||||
|
||||
- `renderSettingsTab()`: 外枠を `flex-direction: row` に変更し KSampler（左）と Latent Image（右）を横並び（各 `flex:1; min-width:0`）、間に縦の境界線（`border-right: 1px solid var(--wfm-border)`）
|
||||
|
||||
#### `static/css/main.css`
|
||||
|
||||
- `.wfm-ckpt-dropdown-wrap` / `.wfm-ckpt-dropdown-trigger` / `.wfm-ckpt-dropdown-arrow` / `.wfm-ckpt-dropdown-panel` — ドロップダウン UI スタイル
|
||||
- `.wfm-ckpt-folder-group` / `.wfm-ckpt-folder-header` / `.wfm-ckpt-folder-toggle` / `.wfm-ckpt-folder-name` / `.wfm-ckpt-folder-count` / `.wfm-ckpt-folder-files` — フォルダツリー UI スタイル
|
||||
- `.wfm-ckpt-item--indented` — ファイル行のインデント（`padding-left: 24px`）
|
||||
|
||||
#### `static/js/i18n.js`
|
||||
|
||||
- EN / JA / ZH: `helpGen6` を横並びレイアウトの説明に更新
|
||||
- EN / JA / ZH: `helpGen11` を追加（フォルダツリードロップダウン、Pause/Resume、Stop の説明）
|
||||
- EN / JA / ZH: `helpGallery5`〜`helpGallery10` を現在の HTML 構成に合わせて修正（旧版から5項目ずれていたのを解消）
|
||||
- EN / JA / ZH: `helpGallery11` を追加（PNG/JPEG/WebP/GIF 対応・メタデータ抽出の説明）
|
||||
|
||||
#### `static/js/app.js`
|
||||
|
||||
- `helpIdMap` に `"wfm-help-gen-11": "helpGen11"`、`"wfm-help-gallery-11": "helpGallery11"` を追加
|
||||
|
||||
---
|
||||
|
||||
## 2026-04-28: v0.3.3 Promptタブ — ワイルドカード支援パネル・Impact Packシンボリックリンク連携・サブディレクトリ対応・GenerateUI修正
|
||||
|
||||
### 概要
|
||||
|
||||
- Promptタブのレイアウトを3カラム構成に変更
|
||||
- 中央ペイン（Col2）: Presets / Preset Manager をタブ切り替え化
|
||||
- 右ペイン（Col3）: ワイルドカード支援パネルを新設
|
||||
- ワイルドカードファイル管理（txt/yaml）の CRUD API を追加
|
||||
- Settingsタブに Wildcard Integration セクションを追加（Impact Pack ジャンクション/シンボリックリンク連携）
|
||||
- ワイルドカードフォルダのサブディレクトリファイルに対応（再帰スキャン・ディレクトリグループ表示・`__folder/name__` 形式）
|
||||
- GenerateUI: `ImpactWildcardEncode` ノードの実行エラーを修正
|
||||
|
||||
### 変更内容
|
||||
|
||||
#### `py/config.py`
|
||||
|
||||
- `COMFYUI_ROOT = _COMFYUI_ROOT` を追加（外部モジュールから参照可能に）
|
||||
- `WILDCARD_DIR = DATA_DIR / "wildcard"` を追加
|
||||
|
||||
#### `py/services/wildcard_service.py` — 新規作成
|
||||
|
||||
- `WildcardService(wildcard_dir)` クラス
|
||||
- `list_wildcards()` — txt/yaml/yml ファイル一覧を返す
|
||||
- `get_content(filename)` — ファイル内容を取得
|
||||
- `save_file(filename, content)` — ファイルを保存（新規/上書き）
|
||||
- `delete_file(filename)` — ファイルを削除
|
||||
- `_safe_path(filename)` — `..` / スラッシュ / 拡張子チェックによるパストラバーサル防止
|
||||
- Impact Pack 連携メソッド
|
||||
- `find_impact_pack_wildcards(comfyui_root)` — `custom_nodes/` 以下で "impact-pack" ディレクトリを検索
|
||||
- `get_link_status(comfyui_root)` — インストール状況・リンク状態・パスを返す dict
|
||||
- `create_link(comfyui_root)` — 既存 WFS ファイルを Impact Pack dir へ移行後、ジャンクション/シンボリックリンクを作成
|
||||
- `remove_link()` — ジャンクション/シンボリックリンクを削除して通常ディレクトリに復元
|
||||
- プラットフォームヘルパー
|
||||
- `_is_junction(path)` — Windows の `GetFileAttributesW` + `FILE_ATTRIBUTE_REPARSE_POINT` でジャンクション検出（`os.path.islink()` では検出不可）
|
||||
- `_create_junction_or_symlink(link, target)` — Windows は `mklink /J`、他 OS は `os.symlink`
|
||||
- `_remove_junction_or_symlink(path)` — Windows は `rmdir`（ジャンクションを削除、中身に影響なし）、他は `os.unlink`
|
||||
- コンストラクタ: `_is_junction()` で事前確認し、ジャンクション/シンボリックリンクの場合は mkdir をスキップ
|
||||
|
||||
#### `py/routes/wildcard_routes.py` — 新規作成
|
||||
|
||||
- `GET /api/wfm/wildcards` — ファイル一覧
|
||||
- `GET /api/wfm/wildcards/content?filename=` — ファイル内容取得
|
||||
- `POST /api/wfm/wildcards/save` — ファイル保存
|
||||
- `POST /api/wfm/wildcards/delete` — ファイル削除
|
||||
- `GET /api/wfm/wildcards/link-status` — Impact Pack リンク状態取得
|
||||
- `POST /api/wfm/wildcards/create-link` — ジャンクション/シンボリックリンク作成（移行ファイルリストを返す）
|
||||
- `POST /api/wfm/wildcards/remove-link` — リンク解除
|
||||
|
||||
#### `py/wfm.py`
|
||||
|
||||
- `wildcard_routes.setup_routes(app)` を追加
|
||||
|
||||
#### `templates/index.html`
|
||||
|
||||
- Promptタブ Col2 をタブ切り替え構造（`.wfm-prompt-center-tabnav` + `.wfm-prompt-center-pane`）に変更
|
||||
- Promptタブ Col3 にワイルドカード支援パネル（`.wfm-wc-panel`）を新設
|
||||
- ツールバー: `{|}`, `|`, `__`, `:`, `;`, `$`, `<lora:>`, `[]`, `{n$|}`, ファイルピッカーボタン
|
||||
- プロンプトテキストエリア（`.wfm-wc-prompt-ta`）
|
||||
- ファイル管理セクション（ファイル一覧 + インラインエディタ）
|
||||
- Helpタブ: `wfm-help-prompt-8`、`wfm-help-prompt-9`、`wfm-help-settings-10` を追加
|
||||
|
||||
#### `static/js/prompt-tab.js`
|
||||
|
||||
- ワイルドカード API ヘルパー: `wcFetchFiles()`、`wcFetchContent()`、`wcSaveFile()`、`wcDeleteFile()`
|
||||
- `wcInsertAtCursor(textarea, open, close)` — 選択テキストをラップ、または `open+close` を挿入してカーソルを `open` の末尾に移動
|
||||
- `wcRenderFileList()`、`wcOpenEditor()`、`wcCloseEditor()`、`wcRefreshFiles()`、`wcUpdateFilePicker()`
|
||||
- `initPromptTab()` に追加:
|
||||
- 中央ペインのタブ切り替えハンドラ
|
||||
- ワイルドカードツールバーボタン（`data-wc-open` / `data-wc-close` 属性で制御）
|
||||
- Loraボタン: `<lora::1:LBW=;>` を挿入してカーソル位置調整
|
||||
- `{n$|}` ボタン: `prompt()` で n を入力し `{n$|}` を挿入
|
||||
- ファイルピッカー（ポップアップ型、クリックで `__filename__` 挿入）
|
||||
- ファイルマネージャのイベントハンドラ（新規作成・保存・削除）
|
||||
|
||||
#### `static/js/settings-tab.js`
|
||||
|
||||
- Data Management セクションの直後に **Wildcard Integration** `<details>` セクションを追加
|
||||
- セクション展開時に `GET /api/wfm/wildcards/link-status` を呼び出して動的 UI をレンダリング
|
||||
- Impact Pack 未インストール: インストール誘導メッセージ + GitHub リンク
|
||||
- インストール済み・リンクなし: Impact Pack パス表示 + 「リンクを作成」ボタン（移行ファイル名を表示）
|
||||
- リンク済み: リンク先パス表示 + 「リンクを解除」ボタン
|
||||
|
||||
#### `static/js/app.js`
|
||||
|
||||
- `wfm-help-prompt-8`、`wfm-help-prompt-9`、`wfm-help-settings-10` の ID マッピングを追加
|
||||
|
||||
#### `static/js/i18n.js`
|
||||
|
||||
- `helpPrompt8`、`helpPrompt9`、`helpSettings10` を EN/JA/ZH に追加
|
||||
|
||||
#### `static/css/main.css`
|
||||
|
||||
- `.wfm-prompt-center-tabnav`、`.wfm-prompt-center-tab`、`.wfm-prompt-center-pane` — 中央ペインタブ UI
|
||||
- `.wfm-wc-panel`、`.wfm-wc-toolbar`、`.wfm-wc-btn`、`.wfm-wc-prompt-ta` — ワイルドカードパネル
|
||||
- `.wfm-wc-file-picker-wrap`、`.wfm-wc-file-picker`、`.wfm-wc-picker-item` — ファイルピッカー
|
||||
- `.wfm-wc-files-section`、`.wfm-wc-file-list`、`.wfm-wc-file-item`、`.wfm-wc-editor` — ファイルマネージャ
|
||||
|
||||
### ワイルドカードサブディレクトリ対応
|
||||
|
||||
#### `py/services/wildcard_service.py`
|
||||
|
||||
- `list_wildcards()` — `iterdir()` → `rglob("*")` に変更して再帰スキャン。レスポンスに `dir`（サブディレクトリパス、ルートは空文字）と `wc_name`（拡張子なし相対パス、例: `color/animals`）を追加
|
||||
- `_safe_path()` — `/` 区切りの相対パスを受け付けるよう変更。各パスコンポーネントを個別に検証してパストラバーサルをブロック
|
||||
- `save_file()` — `path.parent.mkdir(parents=True, exist_ok=True)` を追加してサブディレクトリを自動作成。レスポンスに `dir`、`wc_name` を追加
|
||||
|
||||
#### `static/js/prompt-tab.js`
|
||||
|
||||
- `wcRenderFileList()` — ファイルをディレクトリごとにグループ化して表示（ルートが先、サブディレクトリはヘッダ付き）。サブディレクトリ内ファイルは `wfm-wc-file-item--sub` クラスでインデント。挿入テキストを `__f.name__` → `__f.wc_name__`（例: `__color/animals__`）に変更
|
||||
- `wcUpdateFilePicker()` — 同様にディレクトリグループ表示。挿入テキストを `wc_name` ベースに変更
|
||||
- Editor Save ハンドラ — `name` のバリデーションを `folder/name` 形式に対応。`\` を `/` に正規化して各コンポーネントを個別検証。`filename` を `name.ext`（例: `color/animals.txt`）として構築
|
||||
|
||||
#### `templates/index.html`
|
||||
|
||||
- エディタ名入力の placeholder を `"name or folder/name"` に更新
|
||||
|
||||
#### `static/css/main.css`
|
||||
|
||||
- `.wfm-wc-dir-header` — ファイル一覧のディレクトリ区切りヘッダ
|
||||
- `.wfm-wc-file-item--sub` — サブディレクトリファイルの左インデント
|
||||
- `.wfm-wc-picker-dir` — ファイルピッカーのディレクトリ区切りラベル
|
||||
- `.wfm-wc-picker-item--sub` — ファイルピッカー内サブディレクトリファイルのインデント
|
||||
- Safari 向け `-webkit-user-select` を追加
|
||||
|
||||
### GenerateUI: ImpactWildcardEncode バリデーションエラー修正
|
||||
|
||||
#### `static/js/comfyui-workflow.js`
|
||||
|
||||
- `convertUiToApi()` — COMBO 型ウィジェット値を `/object_info` の選択肢リストと照合し、値が存在しない場合は先頭の有効な選択肢にフォールバック。Impact Pack の `ImpactWildcardEncode` ノードが `"Select Wildcard 🟢 Full Cache"` 等の動的プレースホルダー値を持つ場合でも `"Prompt outputs failed validation"` エラーが発生しなくなる
|
||||
- `analyzeWorkflow()` — `ImpactWildcardEncode` / `ImpactWildcardProcessor` を `prompt_nodes` として認識（KSampler の positive/negative 接続からロールを判定）。テキストフィールドキーを `text` ではなく `wildcard_text` として記録
|
||||
|
||||
#### `static/js/comfyui-editor.js`
|
||||
|
||||
- `renderPromptTab()` — select の option に `data-text-key` 属性を追加（`CLIPTextEncode` = `"text"`、`ImpactWildcardEncode` = `"wildcard_text"`）
|
||||
- Apply ハンドラ — `analysis.prompt_nodes` から `textKey` を取得して `inputs[textKey]` に書き込むよう変更（従来は `inputs.text` 固定）
|
||||
- `syncToWorkflow()` — 選択中の option の `data-text-key` を読んで正しいフィールドに書き込むよう変更。生成前の同期（`_coreGenerate` 直前の `comfyEditor.syncToWorkflow()` 経由）でも正しく反映される
|
||||
|
||||
---
|
||||
|
||||
## 2026-04-28: v0.3.2 生成UIタブ — Checkpoint Batch・Seed UIレイアウト修正
|
||||
|
||||
### 概要
|
||||
|
||||
@@ -5,29 +5,25 @@ A comprehensive workflow management and generation UI plugin for [ComfyUI](https
|
||||
Browse, organize, and execute workflows directly from a dedicated studio interface — without switching between windows or manually editing JSON.
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
## Screenshots
|
||||
|
||||
| Workflow Tab | GenerateUI Tab |
|
||||
| Workflow Tab | Models Tab |
|
||||
|:---:|:---:|
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
| Prompt Tab | Settings Tab |
|
||||
| Prompt Input Assistance | Gen UI Feeder |
|
||||
|:---:|:---:|
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
| Nodes Tab | Models Tab |
|
||||
| Top Bar | WS Library |
|
||||
|:---:|:---:|
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
| Gallery Tab | Help & Support Tab |
|
||||
| Library Information | Customize |
|
||||
|:---:|:---:|
|
||||
|  |  |
|
||||
|
||||
| Workflow Studio Library (ComfyUI) | ComfyUI Integration |
|
||||
|:---:|:---:|
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
---
|
||||
|
||||
@@ -50,20 +46,33 @@ Browse, organize, and execute workflows directly from a dedicated studio interfa
|
||||
- **Embedded workflow metadata** — workflow JSON is embedded in the PNG (tEXt chunk), compatible with ComfyUI's drag-and-drop import
|
||||
- **Auto-import** — the captured workflow is automatically imported and appears in the Workflow tab
|
||||
|
||||
### GenerateUI Tab (v0.3.2)
|
||||
- **3-tab layout** — Input / Model / Settings tabs, each with a Raw JSON column on the right for instant preview and direct editing
|
||||
### GenerateUI Tab (v0.3.5)
|
||||
- **4-tab layout** — Input / Model / Settings / Feeder tabs; Input, Model, and Settings each include a Raw JSON column on the right for instant preview and direct editing
|
||||
- **Input tab** — Prompt (top) and Image drag-and-drop (bottom) in the left column; Raw JSON (540px) in the right column
|
||||
- **Model tab** — Checkpoint, VAE, LoRA, ControlNet, UNET, TextEncoder selectors with filter; Raw JSON on the right
|
||||
- **Settings tab** — KSampler (top) and LatentImage (bottom) in the left column; Raw JSON on the right
|
||||
- **Always-visible Raw JSON** — edit the API-format JSON directly from any tab with syntax highlighting; Apply button reloads the workflow
|
||||
- **Settings tab** — KSampler and Latent Image side by side at 50% width each; Raw JSON on the right
|
||||
- **Always-visible Raw JSON** — edit the API-format JSON directly from any tab with syntax highlighting; Apply button reloads the workflow; built-in **search bar** (always shown) finds all matches as you type with count display (`3/12`); navigate with ↑/↓ buttons or Enter / Shift+Enter; Escape or ✕ clears; current match highlighted in orange, other matches in yellow
|
||||
- **One-click generation** — queue prompts to ComfyUI without leaving the studio
|
||||
- **Seed control** — randomize, lock, or manually set seeds; seed input and mode selector stacked vertically for readability
|
||||
- **Checkpoint Batch** — enable via checkbox in the right panel to sequentially generate with every checkpoint model; filter by include folders (comma-separated subfolder names, empty = all) and/or exclude folders; Stop button aborts after the current generation completes; amber progress bar tracks per-model progress
|
||||
- **UI-to-API conversion** — automatic conversion supporting subgraphs (nested workflows), COMBO types, and display-only node exclusion
|
||||
- **Checkpoint Batch** — enable via checkbox in the right panel to sequentially generate with every checkpoint model; select checkpoints by folder from the dropdown (check a folder to select all its files, expand with ▶ for individual file selection, supports any subfolder depth); Filter input to search; All / None buttons for quick selection; **Pause/Resume** suspends processing between models; Stop aborts after the current generation; amber progress bar tracks per-model progress
|
||||
- **UI-to-API conversion** — automatic conversion supporting subgraphs (nested workflows), COMBO types, and display-only node exclusion; improved analysis covers SDXL multi-hop CONDITIONING chains, CLIPTextEncodeSDXL, SDXLPromptStyler, KSamplerAdvanced, and more
|
||||
- **Eagle integration** — auto-save generated images to [Eagle](https://eagle.cool/) with metadata
|
||||
|
||||
### Feeder subtab (v0.3.5)
|
||||
Requires the **[comfyui-image-feeder](https://github.com/ketle-man/comfyui-image-feeder)** custom node.
|
||||
- **ImageFeeder node control** — select the target node from a dropdown auto-populated from the loaded workflow; edit all node parameters (Directory, Sort Mode, Index, Start/End Index, Batch Size, Seed, Use Selection) and Apply to the workflow
|
||||
- **Image library** — 3-pane layout: folder tree (left) browsing `user/default/image-loop-data/`, image grid with checkbox selection (center), preview panel with resolution and file size (right)
|
||||
- **Selection management** — check individual images; All / None buttons for the current folder; selected files are reflected in `selected_files` on Apply
|
||||
- **Presets** — save the current directory + selection as a named preset; load or delete presets (server-side persistence via `image-feeder-presets.json`)
|
||||
- **Continuous Run loop** — Run / Stop buttons below the presets; **After gen** mode controls index behavior after each generation:
|
||||
- **Loop** — advance index and wrap back to 0 when all images are exhausted (runs indefinitely)
|
||||
- **Increment** — advance index and auto-stop when all images are consumed
|
||||
- **Fixed** — always use the same index
|
||||
- **Index sync** — after each generation the node returns `next_index` via WebSocket (`image_loop_node_sync`); the Index field updates automatically
|
||||
- **Seed** — Run loop uses the right-pane seed setting (Random / Fixed / Increment / Decrement); the node's own Seed field only affects random sort order
|
||||
|
||||
### Prompt Tab
|
||||
- **3-column layout** — AI Assistant, Presets editor, and Preset Manager displayed side-by-side
|
||||
- **3-column layout** — AI Assistant (left), Presets/Preset Manager tab-panel (center), Wildcard support (right)
|
||||
- **AI chat assistant** — powered by [Ollama](https://ollama.com/), generate and refine prompts interactively
|
||||
- **Image attachment** — attach reference images for vision-capable models
|
||||
- **Translation** — JA/EN/ZH translation buttons for multilingual prompt creation
|
||||
@@ -72,6 +81,18 @@ Browse, organize, and execute workflows directly from a dedicated studio interfa
|
||||
- **Group management** — create groups, assign/remove presets, delete groups from the Presets panel
|
||||
- **Clipboard copy** — copy positive/negative prompts individually (PP Copy / NP Copy)
|
||||
- **GenUI Set** — apply preset prompts directly to the GenerateUI interface
|
||||
- **Wildcard input toolbar** — one-click buttons to insert `{|}`, `{n$|}`, `__|__`, `<lora::1:LBW=;>` and other wildcard syntax; wraps selected text when applicable
|
||||
- **Wildcard file manager** — create, view, and edit `.txt` / `.yaml` wildcard files stored in `user/default/Workflow-Studio/wildcard/`; click a filename in the file picker to insert `__filename__` at cursor
|
||||
|
||||
### Metadata Tab (v0.3.8)
|
||||
- **3-column layout** — Drop zone (left) | Model info (center) | LoRA + Prompt (right)
|
||||
- **File drop** — drop a ComfyUI-generated PNG / WebP or workflow JSON onto the drop zone (or click to open a file picker); PNG/WebP images are shown as a preview
|
||||
- **Model extraction** — automatically extracts Checkpoint, VAE, Diffusion Model, and Text Encoder names from the workflow; supports both standard and subgraph-based workflows (Flux.2 Dev/Klein, Qwen-Image-Edit/2511/Layered, Z-Image Base/Turbo, Ernie Image, WAN2.2); node types covered: UNETLoader, UnetLoaderGGUF, UNETLoaderGGUF (e.g. HiDream GGUF), CLIPLoader, DualCLIPLoader, TripleCLIPLoader, QuadrupleCLIPLoader (e.g. HiDream 4-CLIP)
|
||||
- **LoRA extraction** — lists all LoRA models with `strength_model / strength_clip` values
|
||||
- **Prompt extraction** — lists prompts with POS / NEG badges when positive/negative can be determined; when distinction is not possible (e.g. `SamplerCustomAdvanced`, intermediate nodes, cross-level connections), prompts are shown without a badge as plain **Text**; click any entry to view the full text below
|
||||
- **Prompt actions** — Copy to clipboard, **GenUI:P/N** (set GenerateUI positive/negative prompt), **Prompt:P/N** (set Prompt tab preset positive/negative)
|
||||
- **Format support** — ComfyUI PNG/WebP/JSON (standard + Flux.2 / Qwen-Image / Z-Image / Ernie Image / WAN2.2 subgraph workflows), SD WebUI, SD Forge, Fooocus
|
||||
- **Format note** — supported formats and covered model types are always shown in the left column
|
||||
|
||||
### Settings Tab
|
||||
- **2-column layout** — left column for all settings; right column shows the Theme panel fixed in place (sticky)
|
||||
@@ -84,6 +105,8 @@ Browse, organize, and execute workflows directly from a dedicated studio interfa
|
||||
- **Ollama connection** — configure Ollama server URL
|
||||
- **Default workflow** — set a workflow to auto-load on startup
|
||||
- **Data Management** — export all plugin data (settings, metadata, prompts, etc.) to a single JSON file; import to restore data (useful when migrating or reinstalling)
|
||||
- **Text Size** — one slider (10–28 px) adjusts font size for all prompt and chat textareas at once: Generate UI positive/negative prompts, AI Assistant chat input, Preset prompts, Wildcard prompt and file editor, and Metadata prompt full preview; takes effect immediately and saved with Save Settings
|
||||
- **Wildcard Integration** — link the WFS wildcard directory to ComfyUI-Impact-Pack's `wildcards/` directory (directory junction on Windows, symlink on other OS); existing WFS wildcard files are automatically migrated; requires [ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
|
||||
- **Language** — English / Japanese / Chinese
|
||||
|
||||
### Gallery Tab (v0.3.1)
|
||||
@@ -125,13 +148,18 @@ Browse, organize, and execute workflows directly from a dedicated studio interfa
|
||||
- **Enable / Disable models** — hide models from ComfyUI by renaming the file extension (`.disabled` suffix); toggle per card (⏸ button), per group (Enable All / Disable All), or filter by status (All / Enabled / Disabled)
|
||||
- **Multi-select & bulk operations** — enter selection mode to check multiple models; bulk action bar supports add/remove from groups and permanent file deletion (model file + preview images + sidecar files such as `.json` / `.info`)
|
||||
|
||||
### Workflow Studio Library (ComfyUI Side Panel) (v0.2.5)
|
||||
- **Workflows tab** — browse favorite workflows (All / ★ Favorites / Groups / By Badge sub-tabs), ★ star shown for favorites in All view
|
||||
- **Nodes tab** — browse favorite nodes (All / ★ Favorites / Groups / Sets / 📂 Category / 🧩 Package sub-tabs), ★ star shown for favorites in All view
|
||||
### Workflow Studio Library (ComfyUI Side Panel) (v0.3.9)
|
||||
- **Tab layout (W / N / P / M / I)** — compact single-letter tabs with full name shown on hover
|
||||
- **W — Workflows tab** — browse favorite workflows (All / ★ Favorites / Groups / By Badge sub-tabs), ★ star shown for favorites in All view
|
||||
- **N — Nodes tab** — browse favorite nodes (All / ★ Favorites / Groups / Sets / 📂 Category / 🧩 Package sub-tabs), ★ star shown for favorites in All view
|
||||
- **Category sub-tab** — dropdown to filter nodes by top-level category
|
||||
- **Package sub-tab** — dropdown to filter nodes by custom node package name
|
||||
- **Models tab** — browse installed models (All / ★ Favorites / Groups / By Type sub-tabs)
|
||||
- **Prompts tab** — browse prompt presets with All / Favorites / Categories sub-tabs
|
||||
- **M — Models tab** — browse installed models (All / ★ Favorites / Groups / By Type sub-tabs)
|
||||
- **P — Prompts tab** — browse prompt presets with All / Favorites / Categories sub-tabs
|
||||
- **I — Information tab** — drop a ComfyUI-generated PNG/WebP or workflow JSON in the side panel to view its metadata; supports `UnetLoaderGGUF` and `QuadrupleCLIPLoader` node types; preview area fixed at 110px
|
||||
- **model sub-tab** — Checkpoint, VAE, Diffusion Model, and Text Encoder; drag items to canvas to place the corresponding loader node (Checkpoint → `CheckpointLoaderSimple`, VAE → `VAELoader`, Diffusion Model → `UNETLoader`, Text Encoder → `CLIPLoader`); double-click also places at canvas center
|
||||
- **lora sub-tab** — LoRA names with `strength_model / strength_clip` values; drag individual LoRA to place `LoraLoader`; **Multiple LORA** section (appears for 1+ LoRAs) drags all LoRAs into a single `Lora Loader (LoraManager)` node
|
||||
- **Prompts sub-tab** — POS / NEG badge list; drag a prompt to place `CLIPTextEncode` with text pre-filled; click any entry to view full text + Copy button
|
||||
- **Drag & drop workflows** — drag a workflow onto the canvas to load it
|
||||
- **Drag & drop nodes** — drag nodes/node sets onto the canvas to place them
|
||||
- **Drag & drop prompts** — drag a preset onto the canvas to create a WFS_PromptText node with positive/negative prompts
|
||||
@@ -215,6 +243,58 @@ Click the **camera icon** (next to the W button) in ComfyUI's top bar to capture
|
||||
|
||||
## Changelog
|
||||
|
||||
### v0.3.12
|
||||
- **GenerateUI — Raw JSON search** — always-visible search bar above the Raw JSON editor; finds all matches as you type with match count (`3/12`); navigate forward/back with ↑/↓ buttons, Enter / Shift+Enter, or Escape / ✕ to clear; current match highlighted in orange, other matches in yellow; search overlay syncs with editor scroll and stays updated while editing
|
||||
- **Workflow analyzer — extended model type detection** — added CLIPLoader `type` field mapping to model family (`flux`, `hidream_i`, `wan`, `cosmos`, `lumina`, `ovis`, etc.) via `_CLIP_TYPE_TO_MODEL`; subgraph nodes (`definitions.subgraphs`) now scanned for model detection; `UnetLoaderGGUF` and similar loaders matched via `"UnetLoader" in ntype`; new families added: NewBie, Ovis, HiDream, Wan, Cosmos, Lumina; model-name detection refactored into reusable `_detect_model_type_from_name()`
|
||||
- **Screenshots refreshed** — replaced tab-by-tab screenshots with 8 feature-focused images
|
||||
|
||||
### v0.3.11
|
||||
- **Metadata Tab — extended loader support** — `metadata-tab.js` now recognizes `UnetLoaderGGUF` and `UNETLoaderGGUF` as Diffusion Model (e.g. HiDream GGUF workflows), and `QuadrupleCLIPLoader` as Text Encoder (e.g. HiDream 4-CLIP); previously these were detected only in the side panel I tab, not in the Metadata tab itself
|
||||
- **Settings Tab — Text Size** — new slider (10–28 px) in the Settings tab adjusts font size for all prompt and chat text areas at once: Generate UI positive/negative prompts, AI Assistant chat input, Preset prompts, Wildcard text area and file editor, and Metadata prompt full preview; applied immediately on drag and persisted with Save Settings
|
||||
|
||||
### v0.3.10
|
||||
- **Information tab — drag to canvas** — model, lora, and Prompts sub-tabs in the side panel I tab now support drag & drop onto the ComfyUI canvas; double-click also places nodes at canvas center
|
||||
- model sub-tab: each item places the corresponding loader node (Checkpoint → `CheckpointLoaderSimple`, VAE → `VAELoader`, Diffusion Model → `UNETLoader`, Text Encoder → `CLIPLoader`)
|
||||
- lora sub-tab: drag individual LoRA to place `LoraLoader`; **Multiple LORA** section (shown for 1+ LoRAs) places all LoRAs in a single `Lora Loader (LoraManager)` node
|
||||
- Prompts sub-tab: drag a prompt to place `CLIPTextEncode` with the full text pre-filled
|
||||
- **Extended node type support** — `UnetLoaderGGUF` / `UNETLoaderGGUF` now detected as Diffusion Model; `QuadrupleCLIPLoader` (HiDream and similar 4-CLIP workflows) now detected as Text Encoder
|
||||
- **Bug fix: CLIPLoader widget name** — `textencoder` type in `MODEL_NODE_MAP` was incorrectly using `clip_name1` (DualCLIPLoader's widget) instead of `clip_name`; Text Encoder models now drop with the correct filename
|
||||
- **Preview area fixed height** — Information tab drop zone fixed at 110px so model/prompt lists are no longer compressed when a large image is loaded
|
||||
|
||||
### v0.3.9
|
||||
- **Side panel I tab** — new Information tab in the Workflow Studio Library side panel; drop a ComfyUI PNG/WebP/JSON directly in the panel to inspect models, LoRAs, and prompts without opening the Metadata tab; sub-tabs: model / lora / Prompts with full-text preview and Copy button
|
||||
- **Side panel tab redesign** — tabs shortened to single letters (W / N / P / M / I) with full name shown on hover
|
||||
- **Bug fix: top bar icons** — icons (Workflow Studio / camera / Node Sets) were invisible in newer ComfyUI versions because Iconify converted the MDI CSS class to an inline SVG before the custom SVG could be injected; fixed by removing the early-return guard and adopting the same simple `requestAnimationFrame` retry pattern used by lora-manager
|
||||
|
||||
### v0.3.8
|
||||
- **Metadata Tab: extended subgraph support** — added extraction for Flux.2 Dev fp8 (`SamplerCustomAdvanced`), Flux.2 Klein 4B Distilled (image edit), Ernie Image, Qwen-Image-Edit 2511 (`TextEncodeQwenImageEditPlus`), and WAN2.2 14B Animate (top-level CLIPTextEncode + subgraph KSampler)
|
||||
- **Prompt type: Text (no badge)** — when positive/negative polarity cannot be determined (indirect sampler connections, cross-level links, `PrimitiveStringMultiline` etc.), prompts are listed without a POS/NEG badge; action buttons still work normally
|
||||
- **Prompt extraction improvements** — `extractPromptsFromNodeSet` now resolves link sources from any STRING-output node (e.g. `ComfySwitchNode`, `PrimitiveStringMultiline`) without type restriction; `PrimitiveStringMultiline` search and final text-encoder fallback both extended to include subgraph nodes via `collectAllNodes`
|
||||
- **i18n** — added `metaPromptText` key (EN: "Text" / JA: "テキスト" / ZH: "文本")
|
||||
|
||||
### v0.3.7
|
||||
- **Metadata Tab: subgraph workflow support** — Flux.2 (Dev fp8 / Klein), Qwen-Image-Edit (/ 2511 / Layered), and Z-Image (Base / Turbo) official templates now correctly extract models and prompts; these use ComfyUI's `definitions.subgraphs` format with `UNETLoader`, `CLIPLoader`, and `VAELoader` inside the subgraph
|
||||
- **Prompt extraction improvements** — 7-stage fallback chain: ImageMetadataPromptLoader → WFS_PromptText → top-level CLIPTextEncode+KSampler → `PrimitiveStringMultiline` (flux2-klein) → subgraph CLIPTextEncode+KSampler → PromptStyler → all CLIPTextEncode text
|
||||
- **MarkdownNote model fallback** — `extractMarkdownNoteModels()` parses `**section** → - [model](url)` patterns from MarkdownNote nodes as a supplemental model source
|
||||
- **Format note updated** — "Flux.2 / Qwen-Image / Z-Image subgraph workflows supported" (EN/JA/ZH)
|
||||
|
||||
### v0.3.6
|
||||
- **Metadata Tab** — new tab (between Prompt and Gallery) that extracts model and prompt information from ComfyUI-generated PNG/WebP images and workflow JSON files; 3-column layout: drop zone with image preview (left), Checkpoint/VAE/Diffusion Model/Text Encoder lists (center), LoRA list with strength values + Prompt list with full-text viewer (right)
|
||||
- **Prompt action buttons** — Copy, GenUI:P/N (set GenerateUI prompts), Prompt:P/N (set Prompt tab preset prompts) directly from the extracted prompt text
|
||||
- **SDXL Prompt Styler support** — improved prompt extraction resolves `PromptStyler → CLIPTextEncode` link chains in both LiteGraph and API workflow formats
|
||||
- **Format support** — ComfyUI (PNG/WebP/JSON), SD WebUI, SD Forge, Fooocus
|
||||
|
||||
### v0.3.5
|
||||
- **Feeder subtab** — new subtab in GenerateUI for controlling [comfyui-image-feeder](https://github.com/ketle-man/comfyui-image-feeder) nodes; left pane: node selector + all ImageFeeder parameters + presets + Run/Stop controls; center pane: folder tree, image grid with checkbox selection, and preview panel
|
||||
- **Run loop with After gen modes** — Loop (wrap and continue), Increment (advance and auto-stop), Fixed (constant index); index updates automatically via WebSocket `image_loop_node_sync` after each generation; seed comes from the right-pane seed setting
|
||||
- **Workflow analysis improvements** — `analyzeWorkflow` now handles multi-hop CONDITIONING chains via BFS (up to 5 iterations), CLIPTextEncodeSDXL / CLIPTextEncodeSDXLRefiner, SDXLPromptStyler / SDXLPromptStylerAdvanced, KSamplerAdvanced (`noise_seed`), TextEncodeQwenImageEditPlus, PrimitiveStringMultiline, Power Lora Loader (rgthree), and `Checkpoint Loader` (WAS) with space in the class name
|
||||
|
||||
### v0.3.4
|
||||
- **Wildcard support panel** — new right column in the Prompt tab with a one-click toolbar for inserting wildcard syntax (`{|}`, `{n$|}`, `__|__`, `:`, `;`, `$`, `<lora::1:LBW=;>`, `[]`, single/multi pick) and wrapping selected text; dedicated prompt textarea and wildcard file picker (click to insert `__filename__`)
|
||||
- **Wildcard file manager** — create, view, edit, and delete `.txt` / `.yaml` wildcard files stored in `user/default/Workflow-Studio/wildcard/`; editor opens inline with filename input and save/cancel controls
|
||||
- **Preset/Preset Manager tab switch** — the center pane of the Prompt tab is now a two-tab panel (Presets / Preset Manager) to reclaim horizontal space for the new wildcard panel
|
||||
- **Wildcard Integration setting** — new accordion section in Settings tab; auto-detects ComfyUI-Impact-Pack; when installed, provides a button to create a directory junction (Windows) or symlink (other OS) from the WFS wildcard directory to Impact Pack's `wildcards/` directory; existing WFS files are migrated automatically; a Remove Link button reverses the operation
|
||||
|
||||
### v0.3.2
|
||||
- **Checkpoint Batch** — new panel in the GenerateUI right column (below Seed, above results); enable via checkbox to auto-generate once per checkpoint model; filter included/excluded subfolders by comma-separated names (empty = all checkpoints); real-time preview of matched model count; amber progress bar shows current model name and index; Stop button aborts the loop after the current generation completes; failed models are counted and reported in the summary toast
|
||||
- **Seed layout fix** — seed value input and mode selector (Random / Fixed / Increment / Decrement) now stacked vertically so neither is clipped in narrow panels
|
||||
@@ -366,7 +446,7 @@ ComfyUI-Workflow-Studio/
|
||||
│ ├── settings_service.py # Settings persistence
|
||||
│ └── png_extractor.py # PNG metadata extraction
|
||||
├── templates/
|
||||
│ └── index.html # SPA template (Workflow/GenerateUI/Prompt/Settings/Nodes/Models/Help)
|
||||
│ └── index.html # SPA template (Workflow/GenerateUI/Prompt/Metadata/Gallery/Nodes/Models/Settings/Help)
|
||||
├── static/
|
||||
│ ├── favicon.svg # Browser tab icon (W+S Wave)
|
||||
│ ├── css/main.css # Styles
|
||||
@@ -374,7 +454,9 @@ ComfyUI-Workflow-Studio/
|
||||
│ ├── app.js # App initialization & routing
|
||||
│ ├── workflow-tab.js # Workflow browser
|
||||
│ ├── generate-tab.js # Generation UI
|
||||
│ ├── feeder-tab.js # Feeder subtab (ImageFeeder node control + image library)
|
||||
│ ├── prompt-tab.js # AI assistant & presets
|
||||
│ ├── metadata-tab.js # Metadata extraction & display (PNG/WebP/JSON)
|
||||
│ ├── settings-tab.js # Settings panel
|
||||
│ ├── comfyui-client.js # ComfyUI WebSocket/API client
|
||||
│ ├── nodes-tab.js # Node browser & node sets
|
||||
|
||||
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@@ -13,6 +13,7 @@ STATIC_DIR = PLUGIN_DIR / "static"
|
||||
|
||||
# ComfyUI root is custom_nodes/../../ = two levels up
|
||||
_COMFYUI_ROOT = PLUGIN_DIR.parent.parent
|
||||
COMFYUI_ROOT = _COMFYUI_ROOT # exposed for external use
|
||||
|
||||
# Data directory: prefer ComfyUI's user/default/Workflow-Studio/, fallback to plugin data/
|
||||
_COMFYUI_USER_DEFAULT = _COMFYUI_ROOT / "user" / "default"
|
||||
@@ -67,3 +68,4 @@ NODE_METADATA_FILE = DATA_DIR / "node_metadata.json"
|
||||
NODE_SETS_FILE = DATA_DIR / "node_sets.json"
|
||||
PROMPTS_FILE = DATA_DIR / "prompts.json"
|
||||
MODEL_METADATA_FILE = DATA_DIR / "model_metadata.json"
|
||||
WILDCARD_DIR = DATA_DIR / "wildcard"
|
||||
|
||||
@@ -0,0 +1,98 @@
|
||||
"""Wildcard file management API routes."""
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
|
||||
from aiohttp import web
|
||||
|
||||
from ..config import DATA_DIR, COMFYUI_ROOT
|
||||
from ..services.wildcard_service import WildcardService
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
_service = WildcardService(DATA_DIR / "wildcard")
|
||||
|
||||
|
||||
def setup_routes(app: web.Application):
|
||||
app.router.add_get("/api/wfm/wildcards", handle_list)
|
||||
app.router.add_get("/api/wfm/wildcards/content", handle_get_content)
|
||||
app.router.add_post("/api/wfm/wildcards/save", handle_save)
|
||||
app.router.add_post("/api/wfm/wildcards/delete", handle_delete)
|
||||
app.router.add_get("/api/wfm/wildcards/link-status", handle_link_status)
|
||||
app.router.add_post("/api/wfm/wildcards/create-link", handle_create_link)
|
||||
app.router.add_post("/api/wfm/wildcards/remove-link", handle_remove_link)
|
||||
|
||||
|
||||
async def handle_list(request: web.Request) -> web.Response:
|
||||
try:
|
||||
result = await asyncio.to_thread(_service.list_wildcards)
|
||||
return web.json_response(result)
|
||||
except Exception as e:
|
||||
logger.error("Error listing wildcards: %s", e)
|
||||
return web.json_response({"error": str(e)}, status=500)
|
||||
|
||||
|
||||
async def handle_get_content(request: web.Request) -> web.Response:
|
||||
filename = request.rel_url.query.get("filename", "")
|
||||
try:
|
||||
content = await asyncio.to_thread(_service.get_content, filename)
|
||||
return web.json_response({"content": content})
|
||||
except FileNotFoundError:
|
||||
return web.json_response({"error": "not found"}, status=404)
|
||||
except Exception as e:
|
||||
logger.error("Error getting wildcard content: %s", e)
|
||||
return web.json_response({"error": str(e)}, status=500)
|
||||
|
||||
|
||||
async def handle_save(request: web.Request) -> web.Response:
|
||||
try:
|
||||
body = await request.json()
|
||||
filename = body.get("filename", "")
|
||||
content = body.get("content", "")
|
||||
result = await asyncio.to_thread(_service.save_file, filename, content)
|
||||
return web.json_response({"status": "ok", "file": result})
|
||||
except Exception as e:
|
||||
logger.error("Error saving wildcard: %s", e)
|
||||
return web.json_response({"error": str(e)}, status=500)
|
||||
|
||||
|
||||
async def handle_delete(request: web.Request) -> web.Response:
|
||||
try:
|
||||
body = await request.json()
|
||||
filename = body.get("filename", "")
|
||||
await asyncio.to_thread(_service.delete_file, filename)
|
||||
return web.json_response({"status": "ok"})
|
||||
except Exception as e:
|
||||
logger.error("Error deleting wildcard: %s", e)
|
||||
return web.json_response({"error": str(e)}, status=500)
|
||||
|
||||
|
||||
async def handle_link_status(request: web.Request) -> web.Response:
|
||||
try:
|
||||
result = await asyncio.to_thread(_service.get_link_status, COMFYUI_ROOT)
|
||||
return web.json_response(result)
|
||||
except Exception as e:
|
||||
logger.error("Error getting wildcard link status: %s", e)
|
||||
return web.json_response({"error": str(e)}, status=500)
|
||||
|
||||
|
||||
async def handle_create_link(request: web.Request) -> web.Response:
|
||||
try:
|
||||
result = await asyncio.to_thread(_service.create_link, COMFYUI_ROOT)
|
||||
return web.json_response({"status": "ok", **result})
|
||||
except RuntimeError as e:
|
||||
return web.json_response({"error": str(e)}, status=400)
|
||||
except Exception as e:
|
||||
logger.error("Error creating wildcard link: %s", e)
|
||||
return web.json_response({"error": str(e)}, status=500)
|
||||
|
||||
|
||||
async def handle_remove_link(request: web.Request) -> web.Response:
|
||||
try:
|
||||
await asyncio.to_thread(_service.remove_link)
|
||||
return web.json_response({"status": "ok"})
|
||||
except RuntimeError as e:
|
||||
return web.json_response({"error": str(e)}, status=400)
|
||||
except Exception as e:
|
||||
logger.error("Error removing wildcard link: %s", e)
|
||||
return web.json_response({"error": str(e)}, status=500)
|
||||
@@ -0,0 +1,205 @@
|
||||
"""Wildcard file management service."""
|
||||
|
||||
import logging
|
||||
import os
|
||||
import platform
|
||||
import shutil
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
ALLOWED_EXTS = {"txt", "yaml", "yml"}
|
||||
|
||||
|
||||
class WildcardService:
|
||||
def __init__(self, wildcard_dir: Path):
|
||||
self.wildcard_dir = wildcard_dir
|
||||
# Only mkdir if it is a real directory (not a junction/symlink)
|
||||
if not self.wildcard_dir.exists() and not self._is_junction(self.wildcard_dir):
|
||||
self.wildcard_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# File CRUD
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def list_wildcards(self) -> list[dict]:
|
||||
"""Return sorted list of wildcard files recursively (follows junction/symlink)."""
|
||||
if not self.wildcard_dir.exists():
|
||||
return []
|
||||
files = []
|
||||
for path in sorted(self.wildcard_dir.rglob("*")):
|
||||
if path.is_file() and path.suffix.lstrip(".").lower() in ALLOWED_EXTS:
|
||||
rel = path.relative_to(self.wildcard_dir)
|
||||
dir_posix = rel.parent.as_posix()
|
||||
if dir_posix == ".":
|
||||
dir_posix = ""
|
||||
files.append({
|
||||
"name": path.stem,
|
||||
"filename": rel.as_posix(),
|
||||
"ext": path.suffix.lstrip(".").lower(),
|
||||
"size": path.stat().st_size,
|
||||
"dir": dir_posix,
|
||||
"wc_name": rel.with_suffix("").as_posix(),
|
||||
})
|
||||
return files
|
||||
|
||||
def get_content(self, filename: str) -> str:
|
||||
path = self._safe_path(filename)
|
||||
if path is None:
|
||||
raise ValueError(f"Invalid filename: {filename}")
|
||||
if not path.is_file():
|
||||
raise FileNotFoundError(f"File not found: {filename}")
|
||||
return path.read_text(encoding="utf-8")
|
||||
|
||||
def save_file(self, filename: str, content: str) -> dict:
|
||||
path = self._safe_path(filename)
|
||||
if path is None:
|
||||
raise ValueError(f"Invalid filename: {filename}")
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
path.write_text(content, encoding="utf-8")
|
||||
rel = path.relative_to(self.wildcard_dir)
|
||||
dir_posix = rel.parent.as_posix()
|
||||
if dir_posix == ".":
|
||||
dir_posix = ""
|
||||
return {
|
||||
"name": path.stem,
|
||||
"filename": rel.as_posix(),
|
||||
"ext": path.suffix.lstrip(".").lower(),
|
||||
"size": path.stat().st_size,
|
||||
"dir": dir_posix,
|
||||
"wc_name": rel.with_suffix("").as_posix(),
|
||||
}
|
||||
|
||||
def delete_file(self, filename: str) -> None:
|
||||
path = self._safe_path(filename)
|
||||
if path is None:
|
||||
raise ValueError(f"Invalid filename: {filename}")
|
||||
if path.is_file():
|
||||
path.unlink()
|
||||
|
||||
def _safe_path(self, filename: str) -> Path | None:
|
||||
if not filename or not filename.strip():
|
||||
return None
|
||||
# Normalize to forward slashes and strip leading/trailing slashes
|
||||
filename = filename.replace("\\", "/").strip("/")
|
||||
# Validate each path component — block traversal and empty parts
|
||||
parts = filename.split("/")
|
||||
for p in parts:
|
||||
if not p or p == ".." or p == ".":
|
||||
return None
|
||||
ext = Path(parts[-1]).suffix.lstrip(".").lower()
|
||||
if ext not in ALLOWED_EXTS:
|
||||
return None
|
||||
return self.wildcard_dir.joinpath(*parts)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Impact Pack integration
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
@staticmethod
|
||||
def find_impact_pack_wildcards(comfyui_root: Path) -> Path | None:
|
||||
"""Return Impact Pack wildcards directory path, or None if not installed."""
|
||||
custom_nodes = comfyui_root / "custom_nodes"
|
||||
if not custom_nodes.is_dir():
|
||||
return None
|
||||
for d in custom_nodes.iterdir():
|
||||
if d.is_dir() and "impact-pack" in d.name.lower():
|
||||
wildcards = d / "wildcards"
|
||||
if wildcards.is_dir():
|
||||
return wildcards
|
||||
return None
|
||||
|
||||
def get_link_status(self, comfyui_root: Path) -> dict:
|
||||
"""Return current Impact Pack integration status."""
|
||||
impact_dir = self.find_impact_pack_wildcards(comfyui_root)
|
||||
is_linked = self._is_junction(self.wildcard_dir) or self.wildcard_dir.is_symlink()
|
||||
|
||||
resolved_target = None
|
||||
if is_linked:
|
||||
try:
|
||||
resolved_target = str(self.wildcard_dir.resolve())
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
return {
|
||||
"impact_pack_installed": impact_dir is not None,
|
||||
"impact_pack_wildcards_dir": str(impact_dir) if impact_dir else None,
|
||||
"wfs_wildcard_dir": str(self.wildcard_dir),
|
||||
"is_linked": is_linked,
|
||||
"link_target": resolved_target,
|
||||
}
|
||||
|
||||
def create_link(self, comfyui_root: Path) -> dict:
|
||||
"""Replace WFS wildcard dir with a junction/symlink → Impact Pack wildcards."""
|
||||
impact_dir = self.find_impact_pack_wildcards(comfyui_root)
|
||||
if impact_dir is None:
|
||||
raise RuntimeError("ComfyUI-Impact-Pack is not installed.")
|
||||
|
||||
if self._is_junction(self.wildcard_dir) or self.wildcard_dir.is_symlink():
|
||||
raise RuntimeError("Link already exists.")
|
||||
|
||||
# Migrate existing WFS files to Impact Pack dir
|
||||
migrated: list[str] = []
|
||||
if self.wildcard_dir.is_dir():
|
||||
for f in self.wildcard_dir.iterdir():
|
||||
if f.is_file():
|
||||
dest = impact_dir / f.name
|
||||
if not dest.exists():
|
||||
shutil.copy2(str(f), str(dest))
|
||||
migrated.append(f.name)
|
||||
shutil.rmtree(str(self.wildcard_dir))
|
||||
|
||||
# Create junction (Windows) or symlink (others)
|
||||
self._create_junction_or_symlink(self.wildcard_dir, impact_dir)
|
||||
logger.info("Wildcard link created: %s -> %s", self.wildcard_dir, impact_dir)
|
||||
return {"migrated_files": migrated}
|
||||
|
||||
def remove_link(self) -> None:
|
||||
"""Remove junction/symlink and restore WFS wildcard dir as a plain directory."""
|
||||
if not (self._is_junction(self.wildcard_dir) or self.wildcard_dir.is_symlink()):
|
||||
raise RuntimeError("No link to remove.")
|
||||
self._remove_junction_or_symlink(self.wildcard_dir)
|
||||
self.wildcard_dir.mkdir(parents=True, exist_ok=True)
|
||||
logger.info("Wildcard link removed, restored plain dir: %s", self.wildcard_dir)
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Platform helpers
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
@staticmethod
|
||||
def _is_junction(path: Path) -> bool:
|
||||
"""Return True if path is a Windows directory junction."""
|
||||
if platform.system() != "Windows":
|
||||
return False
|
||||
try:
|
||||
import ctypes
|
||||
FILE_ATTRIBUTE_REPARSE_POINT = 0x0400
|
||||
attrs = ctypes.windll.kernel32.GetFileAttributesW(str(path))
|
||||
return attrs != 0xFFFFFFFF and bool(attrs & FILE_ATTRIBUTE_REPARSE_POINT)
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
@staticmethod
|
||||
def _create_junction_or_symlink(link: Path, target: Path) -> None:
|
||||
if platform.system() == "Windows":
|
||||
result = subprocess.run(
|
||||
["cmd", "/c", "mklink", "/J", str(link), str(target)],
|
||||
capture_output=True, text=True,
|
||||
)
|
||||
if result.returncode != 0:
|
||||
raise RuntimeError(f"mklink /J failed: {result.stderr.strip()}")
|
||||
else:
|
||||
os.symlink(target, link, target_is_directory=True)
|
||||
|
||||
@staticmethod
|
||||
def _remove_junction_or_symlink(path: Path) -> None:
|
||||
if platform.system() == "Windows":
|
||||
result = subprocess.run(
|
||||
["cmd", "/c", "rmdir", str(path)],
|
||||
capture_output=True, text=True,
|
||||
)
|
||||
if result.returncode != 0:
|
||||
raise RuntimeError(f"rmdir failed: {result.stderr.strip()}")
|
||||
else:
|
||||
os.unlink(str(path))
|
||||
@@ -3,6 +3,23 @@
|
||||
import os
|
||||
import re
|
||||
|
||||
# CLIPLoader / DualCLIPLoader の type フィールド → モデル種別マッピング
|
||||
_CLIP_TYPE_TO_MODEL = {
|
||||
"flux": "Flux",
|
||||
"flux2": "Flux2",
|
||||
"newbie": "NewBie",
|
||||
"ovis": "Ovis",
|
||||
"qwen_image": "Qwen",
|
||||
"sd3": "SD3",
|
||||
"sd3.5": "SD3",
|
||||
"hidream_i": "HiDream",
|
||||
"hidream_e": "HiDream",
|
||||
"hidream": "HiDream",
|
||||
"wan": "Wan",
|
||||
"cosmos": "Cosmos",
|
||||
"lumina": "Lumina",
|
||||
}
|
||||
|
||||
|
||||
def _model_name_from_ui_node(node):
|
||||
"""Extract model filename from UI format node (lowercase)."""
|
||||
@@ -11,16 +28,65 @@ def _model_name_from_ui_node(node):
|
||||
return val.lower() if isinstance(val, str) else ""
|
||||
|
||||
|
||||
def _clip_type_from_ui_node(node):
|
||||
"""Extract CLIPLoader type string from widgets_values (lowercase)."""
|
||||
ntype = node.get("type", "")
|
||||
vals = node.get("widgets_values", [])
|
||||
if ntype == "CLIPLoader" and len(vals) > 1:
|
||||
return str(vals[1]).lower() if isinstance(vals[1], str) else ""
|
||||
if ntype in ("DualCLIPLoader", "TripleCLIPLoader") and len(vals) > 2:
|
||||
return str(vals[2]).lower() if isinstance(vals[2], str) else ""
|
||||
return ""
|
||||
|
||||
|
||||
def _model_name_from_api_node(node):
|
||||
"""Extract model filename from API format node (lowercase)."""
|
||||
inputs = node.get("inputs", {})
|
||||
for key in ("ckpt_name", "unet_name", "model_name"):
|
||||
for key in ("ckpt_name", "unet_name", "model_name", "clip_name1", "clip_name"):
|
||||
val = inputs.get(key, "")
|
||||
if isinstance(val, str) and val:
|
||||
return val.lower()
|
||||
return ""
|
||||
|
||||
|
||||
def _collect_all_ui_nodes(workflow_data):
|
||||
"""Yield all UI-format nodes including those inside definitions.subgraphs."""
|
||||
for node in workflow_data.get("nodes", []):
|
||||
yield node
|
||||
defs = workflow_data.get("definitions", {})
|
||||
if isinstance(defs, dict):
|
||||
for sg in defs.get("subgraphs", []):
|
||||
if isinstance(sg, dict):
|
||||
for node in sg.get("nodes", []):
|
||||
yield node
|
||||
|
||||
|
||||
def _detect_model_type_from_name(mn_base, model_types):
|
||||
"""Detect model type from a model filename (already lowercased basename)."""
|
||||
if re.search(r"sd1[._-]?5|v1[._-]5", mn_base):
|
||||
model_types.add("SD1.5")
|
||||
elif re.search(r"sdxl|[._-]xl[._-]|[._-]xl$|xl[._-]", mn_base):
|
||||
model_types.add("SDXL")
|
||||
elif re.search(r"flux[-_.]?2", mn_base):
|
||||
model_types.add("Flux2")
|
||||
elif "flux" in mn_base:
|
||||
model_types.add("Flux")
|
||||
elif re.search(r"sd[._-]?3", mn_base):
|
||||
model_types.add("SD3")
|
||||
elif "qwen" in mn_base:
|
||||
model_types.add("Qwen")
|
||||
elif "zimage" in mn_base or "z-image" in mn_base or "zit" in mn_base:
|
||||
model_types.add("Z-IMAGE")
|
||||
elif "newbie" in mn_base:
|
||||
model_types.add("NewBie")
|
||||
elif "ovis" in mn_base:
|
||||
model_types.add("Ovis")
|
||||
elif "hidream" in mn_base:
|
||||
model_types.add("HiDream")
|
||||
elif "wan" in mn_base and re.search(r"wan[-_.]?\d|wan[-_]video", mn_base):
|
||||
model_types.add("Wan")
|
||||
|
||||
|
||||
def analyze_workflow(workflow_data, filename=""):
|
||||
"""Analyze workflow JSON and return model types, input/output node counts."""
|
||||
model_types = set()
|
||||
@@ -36,23 +102,33 @@ def analyze_workflow(workflow_data, filename=""):
|
||||
model_types.add("Qwen")
|
||||
if "zimage" in fn or "z-image" in fn or "zit" in fn:
|
||||
model_types.add("Z-IMAGE")
|
||||
if "flux2" in fn:
|
||||
if re.search(r"flux[-_.]?2", fn):
|
||||
model_types.add("Flux2")
|
||||
elif "flux" in fn:
|
||||
model_types.add("Flux")
|
||||
if "sd3" in fn:
|
||||
model_types.add("SD3")
|
||||
if "newbie" in fn:
|
||||
model_types.add("NewBie")
|
||||
if "ovis" in fn:
|
||||
model_types.add("Ovis")
|
||||
if "hidream" in fn:
|
||||
model_types.add("HiDream")
|
||||
if "wan" in fn and re.search(r"wan[-_.]?\d|wan[-_]video", fn):
|
||||
model_types.add("Wan")
|
||||
|
||||
# Support both UI format (nodes array) and API format (node ID object)
|
||||
raw_nodes = workflow_data.get("nodes", None)
|
||||
if raw_nodes is not None:
|
||||
# UI / app format: collect all nodes including subgraph definitions
|
||||
node_iter = [
|
||||
(
|
||||
node.get("type", ""),
|
||||
node.get("title", "").lower(),
|
||||
_model_name_from_ui_node(node),
|
||||
_clip_type_from_ui_node(node),
|
||||
)
|
||||
for node in raw_nodes
|
||||
for node in _collect_all_ui_nodes(workflow_data)
|
||||
]
|
||||
else:
|
||||
node_iter = []
|
||||
@@ -62,33 +138,32 @@ def analyze_workflow(workflow_data, filename=""):
|
||||
ntype = node.get("class_type", "")
|
||||
title = node.get("_meta", {}).get("title", "").lower()
|
||||
mn = _model_name_from_api_node(node)
|
||||
node_iter.append((ntype, title, mn))
|
||||
node_iter.append((ntype, title, mn, ""))
|
||||
|
||||
for ntype, title, mn in node_iter:
|
||||
for ntype, title, mn, clip_type in node_iter:
|
||||
if (
|
||||
"CheckpointLoader" in ntype
|
||||
or "UNETLoader" in ntype
|
||||
or "UnetLoader" in ntype # UnetLoaderGGUF 等を含む
|
||||
or "unet_name" in ntype
|
||||
):
|
||||
mn_base = os.path.basename(mn.replace("\\", "/"))
|
||||
if re.search(r"sd1[._-]?5|v1[._-]5", mn_base):
|
||||
model_types.add("SD1.5")
|
||||
elif re.search(r"sdxl|[._-]xl[._-]|[._-]xl$|xl[._-]", mn_base):
|
||||
model_types.add("SDXL")
|
||||
elif "flux2" in mn_base:
|
||||
model_types.add("Flux2")
|
||||
elif "flux" in mn_base:
|
||||
model_types.add("Flux")
|
||||
elif re.search(r"sd[._-]?3", mn_base):
|
||||
model_types.add("SD3")
|
||||
elif "qwen" in mn_base:
|
||||
model_types.add("Qwen")
|
||||
elif "zimage" in mn_base or "z-image" in mn_base or "zit" in mn_base:
|
||||
model_types.add("Z-IMAGE")
|
||||
_detect_model_type_from_name(mn_base, model_types)
|
||||
|
||||
# CLIPLoader 系: type フィールドまたはファイル名からモデル種別を検出
|
||||
# QuadrupleCLIPLoader 等、type フィールドを持たない新型ローダーにも対応
|
||||
if "CLIPLoader" in ntype:
|
||||
if clip_type:
|
||||
detected = _CLIP_TYPE_TO_MODEL.get(clip_type)
|
||||
if detected:
|
||||
model_types.add(detected)
|
||||
mn_base = os.path.basename(mn.replace("\\", "/"))
|
||||
if mn_base:
|
||||
_detect_model_type_from_name(mn_base, model_types)
|
||||
|
||||
if "sdxl" in title:
|
||||
model_types.add("SDXL")
|
||||
if "flux2" in title:
|
||||
if re.search(r"flux[-_.]?2", title):
|
||||
model_types.add("Flux2")
|
||||
elif "flux" in title:
|
||||
model_types.add("Flux")
|
||||
@@ -98,6 +173,12 @@ def analyze_workflow(workflow_data, filename=""):
|
||||
model_types.add("Qwen")
|
||||
if "zimage" in title or "z-image" in title or "zit" in title:
|
||||
model_types.add("Z-IMAGE")
|
||||
if "newbie" in title:
|
||||
model_types.add("NewBie")
|
||||
if "ovis" in title:
|
||||
model_types.add("Ovis")
|
||||
if "hidream" in title:
|
||||
model_types.add("HiDream")
|
||||
|
||||
if ntype == "CLIPTextEncode" or "prompt" in title:
|
||||
inputs["prompts"] += 1
|
||||
|
||||
@@ -61,7 +61,7 @@ class WorkflowStudio:
|
||||
app.router.add_get("/wfm", serve_index_page)
|
||||
|
||||
# API routes
|
||||
from .routes import workflow_routes, settings_routes, ollama_routes, eagle_routes, nodes_routes, prompts_routes, models_routes, gallery_routes
|
||||
from .routes import workflow_routes, settings_routes, ollama_routes, eagle_routes, nodes_routes, prompts_routes, models_routes, gallery_routes, wildcard_routes
|
||||
|
||||
workflow_routes.setup_routes(app)
|
||||
settings_routes.setup_routes(app)
|
||||
@@ -71,5 +71,6 @@ class WorkflowStudio:
|
||||
prompts_routes.setup_routes(app)
|
||||
models_routes.setup_routes(app)
|
||||
gallery_routes.setup_routes(app)
|
||||
wildcard_routes.setup_routes(app)
|
||||
|
||||
logger.info("Workflow Studio: Routes registered successfully")
|
||||
|
||||
+3
-3
@@ -1,7 +1,7 @@
|
||||
[project]
|
||||
name = "comfyui-workflow-studio"
|
||||
description = "A comprehensive workflow management and generation UI plugin for ComfyUI. Browse, organize, and execute workflows from a dedicated studio interface."
|
||||
version = "0.2.7"
|
||||
version = "0.3.7"
|
||||
license = "MIT"
|
||||
requires-python = ">= 3.10"
|
||||
dependencies = ["jinja2"]
|
||||
@@ -10,7 +10,7 @@ dependencies = ["jinja2"]
|
||||
Repository = "https://github.com/ketle-man/ComfyUI-Workflow-Studio"
|
||||
|
||||
[tool.comfy]
|
||||
PublisherId = "ketle-man"
|
||||
PublisherId = "statsu"
|
||||
DisplayName = "Workflow Studio"
|
||||
Icon = "https://raw.githubusercontent.com/ketle-man/ComfyUI-Workflow-Studio/main/assets/icon.svg"
|
||||
Icon = "https://raw.githubusercontent.com/ketle-man/ComfyUI-Workflow-Studio/main/docs/thumb.png"
|
||||
Banner = "https://raw.githubusercontent.com/ketle-man/ComfyUI-Workflow-Studio/main/assets/banner.svg"
|
||||
|
||||
+1064
-1
File diff suppressed because it is too large
Load Diff
+24
-4
@@ -90,7 +90,7 @@ function initTabs() {
|
||||
|
||||
function applyI18nToHtml() {
|
||||
// Tab labels
|
||||
const tabMap = { workflow: "tabWorkflow", nodes: "tabNodes", models: "tabModels", generate: "tabGenerate", prompt: "tabPrompt", gallery: "tabGallery", settings: "tabSettings", help: "tabHelp" };
|
||||
const tabMap = { workflow: "tabWorkflow", nodes: "tabNodes", models: "tabModels", generate: "tabGenerate", prompt: "tabPrompt", metadata: "tabMetadata", gallery: "tabGallery", settings: "tabSettings", help: "tabHelp" };
|
||||
document.querySelectorAll(".wfm-tab").forEach((tab) => {
|
||||
const key = tabMap[tab.dataset.tab];
|
||||
if (key) tab.textContent = t(key);
|
||||
@@ -265,15 +265,24 @@ function applyI18nToHtml() {
|
||||
"wfm-help-gen-3": "helpGen3", "wfm-help-gen-4": "helpGen4",
|
||||
"wfm-help-gen-5": "helpGen5", "wfm-help-gen-6": "helpGen6", "wfm-help-gen-7": "helpGen7",
|
||||
"wfm-help-gen-8": "helpGen8", "wfm-help-gen-9": "helpGen9", "wfm-help-gen-10": "helpGen10",
|
||||
"wfm-help-gen-11": "helpGen11",
|
||||
"wfm-help-feeder-title": "helpFeederTitle",
|
||||
"wfm-help-feeder-desc": "helpFeederDesc",
|
||||
"wfm-help-feeder-1": "helpFeeder1", "wfm-help-feeder-2": "helpFeeder2",
|
||||
"wfm-help-feeder-3": "helpFeeder3", "wfm-help-feeder-4": "helpFeeder4",
|
||||
"wfm-help-feeder-5": "helpFeeder5", "wfm-help-feeder-6": "helpFeeder6",
|
||||
"wfm-help-feeder-7": "helpFeeder7", "wfm-help-feeder-8": "helpFeeder8",
|
||||
"wfm-help-feeder-9": "helpFeeder9",
|
||||
"wfm-help-prompt-1": "helpPrompt1", "wfm-help-prompt-2": "helpPrompt2",
|
||||
"wfm-help-prompt-3": "helpPrompt3", "wfm-help-prompt-4": "helpPrompt4",
|
||||
"wfm-help-prompt-5": "helpPrompt5", "wfm-help-prompt-6": "helpPrompt6",
|
||||
"wfm-help-prompt-7": "helpPrompt7",
|
||||
"wfm-help-prompt-7": "helpPrompt7", "wfm-help-prompt-8": "helpPrompt8",
|
||||
"wfm-help-prompt-9": "helpPrompt9",
|
||||
"wfm-help-settings-1": "helpSettings1", "wfm-help-settings-2": "helpSettings2",
|
||||
"wfm-help-settings-3": "helpSettings3", "wfm-help-settings-4": "helpSettings4",
|
||||
"wfm-help-settings-5": "helpSettings5", "wfm-help-settings-6": "helpSettings6",
|
||||
"wfm-help-settings-7": "helpSettings7", "wfm-help-settings-8": "helpSettings8",
|
||||
"wfm-help-settings-9": "helpSettings9",
|
||||
"wfm-help-settings-9": "helpSettings9", "wfm-help-settings-10": "helpSettings10",
|
||||
"wfm-help-nodes-1": "helpNodes1", "wfm-help-nodes-2": "helpNodes2",
|
||||
"wfm-help-nodes-3": "helpNodes3", "wfm-help-nodes-4": "helpNodes4",
|
||||
"wfm-help-nodes-5": "helpNodes5", "wfm-help-nodes-6": "helpNodes6",
|
||||
@@ -289,6 +298,7 @@ function applyI18nToHtml() {
|
||||
"wfm-help-gallery-5": "helpGallery5", "wfm-help-gallery-6": "helpGallery6",
|
||||
"wfm-help-gallery-7": "helpGallery7", "wfm-help-gallery-8": "helpGallery8",
|
||||
"wfm-help-gallery-9": "helpGallery9", "wfm-help-gallery-10": "helpGallery10",
|
||||
"wfm-help-gallery-11": "helpGallery11",
|
||||
"wfm-help-sidepanel-title": "helpSidepanelTitle",
|
||||
"wfm-help-sidepanel-1": "helpSidepanel1", "wfm-help-sidepanel-2": "helpSidepanel2",
|
||||
"wfm-help-sidepanel-3": "helpSidepanel3", "wfm-help-sidepanel-4": "helpSidepanel4",
|
||||
@@ -296,6 +306,8 @@ function applyI18nToHtml() {
|
||||
"wfm-help-sidepanel-7": "helpSidepanel7", "wfm-help-sidepanel-8": "helpSidepanel8",
|
||||
"wfm-help-sidepanel-9": "helpSidepanel9", "wfm-help-sidepanel-10": "helpSidepanel10",
|
||||
"wfm-help-sidepanel-11": "helpSidepanel11", "wfm-help-sidepanel-12": "helpSidepanel12",
|
||||
"wfm-help-sidepanel-13": "helpSidepanel13",
|
||||
"wfm-help-sidepanel-14": "helpSidepanel14", "wfm-help-sidepanel-15": "helpSidepanel15",
|
||||
"wfm-help-shortcuts-title": "helpShortcutsTitle",
|
||||
"wfm-help-shortcuts-1": "helpShortcuts1", "wfm-help-shortcuts-2": "helpShortcuts2",
|
||||
"wfm-help-shortcuts-3": "helpShortcuts3", "wfm-help-shortcuts-4": "helpShortcuts4",
|
||||
@@ -349,13 +361,20 @@ import { initWorkflowTab } from "./workflow-tab.js";
|
||||
import { initNodesTab } from "./nodes-tab.js";
|
||||
import { initGenerateTab } from "./generate-tab.js";
|
||||
import { initPromptTab } from "./prompt-tab.js";
|
||||
import { initSettingsTab, applyTheme, getSavedTheme } from "./settings-tab.js";
|
||||
import { initSettingsTab, applyTheme, getSavedTheme, applyTextareaFontSize } from "./settings-tab.js";
|
||||
import { initModelsTab } from "./models-tab.js";
|
||||
import { initGalleryTab } from "./gallery-tab.js";
|
||||
import { initMetadataTab } from "./metadata-tab.js";
|
||||
|
||||
// Apply saved theme immediately to prevent flash of default theme
|
||||
applyTheme(getSavedTheme());
|
||||
|
||||
// Apply saved textarea font size
|
||||
try {
|
||||
const _s = JSON.parse(localStorage.getItem("wfm_settings") || "{}");
|
||||
if (_s.textareaFontSize) applyTextareaFontSize(_s.textareaFontSize);
|
||||
} catch {}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", () => {
|
||||
applyI18nToHtml();
|
||||
initTabs();
|
||||
@@ -366,6 +385,7 @@ document.addEventListener("DOMContentLoaded", () => {
|
||||
initModelsTab();
|
||||
initGenerateTab();
|
||||
initPromptTab();
|
||||
initMetadataTab();
|
||||
initGalleryTab();
|
||||
|
||||
console.log("Workflow Studio: App initialized");
|
||||
|
||||
+23
-13
@@ -77,7 +77,7 @@ export const comfyEditor = {
|
||||
<label>Positive Prompt</label>
|
||||
<div style="display:flex;gap:8px;margin-bottom:6px;">
|
||||
<select id="wfm-prompt-pos-target" class="wfm-select" style="width:auto;flex:1">
|
||||
${positiveNodes.map((n) => `<option value="${n.id}" selected>ID:${n.id} (${n.title})</option>`).join("")}
|
||||
${positiveNodes.map((n) => `<option value="${n.id}" data-text-key="${n.textKey || "text"}" selected>ID:${n.id} (${n.title})</option>`).join("")}
|
||||
${nodeOpts}
|
||||
</select>
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-prompt-pos-apply">Apply</button>
|
||||
@@ -88,7 +88,7 @@ export const comfyEditor = {
|
||||
<label>Negative Prompt</label>
|
||||
<div style="display:flex;gap:8px;margin-bottom:6px;">
|
||||
<select id="wfm-prompt-neg-target" class="wfm-select" style="width:auto;flex:1">
|
||||
${negativeNodes.map((n) => `<option value="${n.id}" selected>ID:${n.id} (${n.title})</option>`).join("")}
|
||||
${negativeNodes.map((n) => `<option value="${n.id}" data-text-key="${n.textKey || "text"}" selected>ID:${n.id} (${n.title})</option>`).join("")}
|
||||
${nodeOpts}
|
||||
</select>
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-prompt-neg-apply">Apply</button>
|
||||
@@ -101,7 +101,9 @@ export const comfyEditor = {
|
||||
const nodeId = document.getElementById("wfm-prompt-pos-target")?.value;
|
||||
const text = document.getElementById("wfm-prompt-pos-text")?.value;
|
||||
if (nodeId && comfyUI.currentWorkflow?.[nodeId]) {
|
||||
comfyUI.currentWorkflow[nodeId].inputs.text = text;
|
||||
const promptNode = (analysis.prompt_nodes || []).find(n => n.id === nodeId);
|
||||
const textKey = promptNode?.textKey || "text";
|
||||
comfyUI.currentWorkflow[nodeId].inputs[textKey] = text;
|
||||
_syncRawJson();
|
||||
}
|
||||
});
|
||||
@@ -110,7 +112,9 @@ export const comfyEditor = {
|
||||
const nodeId = document.getElementById("wfm-prompt-neg-target")?.value;
|
||||
const text = document.getElementById("wfm-prompt-neg-text")?.value;
|
||||
if (nodeId && comfyUI.currentWorkflow?.[nodeId]) {
|
||||
comfyUI.currentWorkflow[nodeId].inputs.text = text;
|
||||
const promptNode = (analysis.prompt_nodes || []).find(n => n.id === nodeId);
|
||||
const textKey = promptNode?.textKey || "text";
|
||||
comfyUI.currentWorkflow[nodeId].inputs[textKey] = text;
|
||||
_syncRawJson();
|
||||
}
|
||||
});
|
||||
@@ -209,11 +213,11 @@ export const comfyEditor = {
|
||||
const latent = analysis.latent_nodes?.[0];
|
||||
|
||||
el.innerHTML = `
|
||||
<div style="display:flex;flex-direction:column;gap:0;">
|
||||
<div style="padding-bottom:14px;border-bottom:1px solid var(--wfm-border);margin-bottom:14px;">
|
||||
<div style="display:flex;flex-direction:row;gap:0;align-items:flex-start;">
|
||||
<div style="flex:1;min-width:0;padding-right:14px;border-right:1px solid var(--wfm-border);">
|
||||
<h3 style="font-size:13px;font-weight:600;text-transform:uppercase;letter-spacing:0.5px;color:var(--wfm-text-secondary);margin:0 0 12px;">KSampler</h3>
|
||||
${sampler ? `
|
||||
<input type="hidden" id="wfm-settings-sampler-id" value="${sampler.id}">
|
||||
<input type="hidden" id="wfm-settings-sampler-id" value="${sampler.id}" data-seed-key="${sampler.seedKey || "seed"}">
|
||||
<div class="wfm-form-group">
|
||||
<label>Seed</label>
|
||||
<input type="number" class="wfm-input" id="wfm-settings-seed" value="${sampler.seed ?? -1}">
|
||||
@@ -245,7 +249,7 @@ export const comfyEditor = {
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-settings-sampler-apply">Apply</button>
|
||||
` : "<p class='wfm-placeholder'>No KSampler node found</p>"}
|
||||
</div>
|
||||
<div>
|
||||
<div style="flex:1;min-width:0;padding-left:14px;">
|
||||
<h3 style="font-size:13px;font-weight:600;text-transform:uppercase;letter-spacing:0.5px;color:var(--wfm-text-secondary);margin:0 0 12px;">Latent Image</h3>
|
||||
${latent ? `
|
||||
<input type="hidden" id="wfm-settings-latent-id" value="${latent.id}">
|
||||
@@ -271,7 +275,9 @@ export const comfyEditor = {
|
||||
const nodeId = document.getElementById("wfm-settings-sampler-id")?.value;
|
||||
if (!nodeId || !comfyUI.currentWorkflow?.[nodeId]) return;
|
||||
const inputs = comfyUI.currentWorkflow[nodeId].inputs;
|
||||
inputs.seed = parseInt(document.getElementById("wfm-settings-seed")?.value) || -1;
|
||||
// KSamplerAdvanced uses noise_seed; fall back to seed
|
||||
const seedKey = document.getElementById("wfm-settings-sampler-id")?.dataset?.seedKey || "seed";
|
||||
inputs[seedKey] = parseInt(document.getElementById("wfm-settings-seed")?.value) || -1;
|
||||
inputs.steps = parseInt(document.getElementById("wfm-settings-steps")?.value) || 20;
|
||||
inputs.cfg = parseFloat(document.getElementById("wfm-settings-cfg")?.value) || 7;
|
||||
inputs.sampler_name = document.getElementById("wfm-settings-sampler-name")?.value;
|
||||
@@ -402,16 +408,20 @@ export const comfyEditor = {
|
||||
|
||||
syncToWorkflow() {
|
||||
// Sync prompt texts before generation
|
||||
const posTarget = document.getElementById("wfm-prompt-pos-target")?.value;
|
||||
const posSelect = document.getElementById("wfm-prompt-pos-target");
|
||||
const posTarget = posSelect?.value;
|
||||
const posText = document.getElementById("wfm-prompt-pos-text")?.value;
|
||||
if (posTarget && comfyUI.currentWorkflow?.[posTarget]) {
|
||||
comfyUI.currentWorkflow[posTarget].inputs.text = posText;
|
||||
const posTextKey = posSelect.selectedOptions[0]?.dataset?.textKey || "text";
|
||||
comfyUI.currentWorkflow[posTarget].inputs[posTextKey] = posText;
|
||||
}
|
||||
|
||||
const negTarget = document.getElementById("wfm-prompt-neg-target")?.value;
|
||||
const negSelect = document.getElementById("wfm-prompt-neg-target");
|
||||
const negTarget = negSelect?.value;
|
||||
const negText = document.getElementById("wfm-prompt-neg-text")?.value;
|
||||
if (negTarget && comfyUI.currentWorkflow?.[negTarget]) {
|
||||
comfyUI.currentWorkflow[negTarget].inputs.text = negText;
|
||||
const negTextKey = negSelect.selectedOptions[0]?.dataset?.textKey || "text";
|
||||
comfyUI.currentWorkflow[negTarget].inputs[negTextKey] = negText;
|
||||
}
|
||||
},
|
||||
};
|
||||
|
||||
+183
-10
@@ -343,6 +343,24 @@ export const comfyWorkflow = {
|
||||
wIdx++;
|
||||
}
|
||||
}
|
||||
// For COMBO inputs, validate the value against the available choices.
|
||||
// Dynamic COMBO options (e.g. Impact Pack's "Select to add Wildcard") may
|
||||
// differ between the saved workflow and the current ComfyUI instance
|
||||
// (e.g. "Select Wildcard 🟢 Full Cache" vs "Select Wildcard"), causing
|
||||
// "Prompt outputs failed validation". Fall back to first choice when mismatch.
|
||||
if (expectedType === "COMBO") {
|
||||
const allInputDefs = {
|
||||
...(objectInfo[node.type]?.input?.required || {}),
|
||||
...(objectInfo[node.type]?.input?.optional || {}),
|
||||
};
|
||||
const spec = allInputDefs[name];
|
||||
if (spec) {
|
||||
const choices = Array.isArray(spec[0]) ? spec[0] : null;
|
||||
if (choices && choices.length > 0 && !choices.includes(val)) {
|
||||
val = choices[0];
|
||||
}
|
||||
}
|
||||
}
|
||||
inputs[name] = val;
|
||||
}
|
||||
} else {
|
||||
@@ -446,7 +464,7 @@ export const comfyWorkflow = {
|
||||
|
||||
if (!workflow) return result;
|
||||
|
||||
// Build sampler connections for prompt classification
|
||||
// === Pass 1: Collect sampler refs + all_nodes ===
|
||||
const samplerPositiveRef = {};
|
||||
const samplerNegativeRef = {};
|
||||
|
||||
@@ -462,40 +480,174 @@ export const comfyWorkflow = {
|
||||
if (Array.isArray(inputs.positive)) samplerPositiveRef[inputs.positive[0]] = true;
|
||||
if (Array.isArray(inputs.negative)) samplerNegativeRef[inputs.negative[0]] = true;
|
||||
|
||||
// KSamplerAdvanced uses noise_seed instead of seed
|
||||
const seedKey = "seed" in inputs ? "seed" : "noise_seed";
|
||||
result.sampler_nodes.push({
|
||||
id, type: ct, title,
|
||||
seed: inputs.seed, steps: inputs.steps, cfg: inputs.cfg,
|
||||
seed: inputs.seed ?? inputs.noise_seed,
|
||||
seedKey,
|
||||
steps: inputs.steps, cfg: inputs.cfg,
|
||||
sampler_name: inputs.sampler_name, scheduler: inputs.scheduler,
|
||||
denoise: inputs.denoise,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// === Pass 1b: Expand refs through CONDITIONING graph (BFS, 5 iterations) ===
|
||||
// Nodes that pass CONDITIONING through without changing positive/negative role
|
||||
const COND_PASSTHROUGH = new Set([
|
||||
"ConditioningCombine", "ConditioningConcat", "ConditioningAverage",
|
||||
"ConditioningZeroOut", "ConditioningSetTimestepRange",
|
||||
"ControlNetApply", "ControlNetApplyAdvanced",
|
||||
"IPAdapterApply", "IPAdapterApplyFaceID",
|
||||
"StyleModelApply",
|
||||
]);
|
||||
|
||||
for (let iter = 0; iter < 5; iter++) {
|
||||
for (const [id, node] of Object.entries(workflow)) {
|
||||
if (!node?.class_type) continue;
|
||||
const ct = node.class_type;
|
||||
const inputs = node.inputs || {};
|
||||
const isPos = !!samplerPositiveRef[id];
|
||||
const isNeg = !!samplerNegativeRef[id];
|
||||
if (!isPos && !isNeg) continue;
|
||||
|
||||
if (COND_PASSTHROUGH.has(ct)) {
|
||||
for (const v of Object.values(inputs)) {
|
||||
if (Array.isArray(v)) {
|
||||
if (isPos) samplerPositiveRef[v[0]] = true;
|
||||
if (isNeg) samplerNegativeRef[v[0]] = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Propagate role through text encoder linked inputs (CLIPTextEncode → upstream text source)
|
||||
if (ct === "CLIPTextEncode") {
|
||||
const tv = inputs.text;
|
||||
if (Array.isArray(tv)) {
|
||||
if (isPos) samplerPositiveRef[tv[0]] = true;
|
||||
if (isNeg) samplerNegativeRef[tv[0]] = true;
|
||||
}
|
||||
}
|
||||
if (ct === "CLIPTextEncodeSDXL" || ct === "CLIPTextEncodeSDXLRefiner") {
|
||||
for (const key of ["text_g", "text_l"]) {
|
||||
const tv = inputs[key];
|
||||
if (Array.isArray(tv)) {
|
||||
if (isPos) samplerPositiveRef[tv[0]] = true;
|
||||
if (isNeg) samplerNegativeRef[tv[0]] = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
if (ct === "ImpactWildcardEncode" || ct === "ImpactWildcardProcessor") {
|
||||
const tv = inputs.wildcard_text;
|
||||
if (Array.isArray(tv)) {
|
||||
if (isPos) samplerPositiveRef[tv[0]] = true;
|
||||
if (isNeg) samplerNegativeRef[tv[0]] = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// === Pass 2: Main analysis ===
|
||||
for (const [id, node] of Object.entries(workflow)) {
|
||||
if (!node?.class_type) continue;
|
||||
const ct = node.class_type;
|
||||
const inputs = node.inputs || {};
|
||||
const title = node._meta?.title || ct;
|
||||
|
||||
if (ct.includes("CheckpointLoader")) {
|
||||
const isPos = !!samplerPositiveRef[id];
|
||||
const isNeg = !!samplerNegativeRef[id];
|
||||
|
||||
const getRole = () => {
|
||||
if (isPos && !isNeg) return "positive";
|
||||
if (isNeg && !isPos) return "negative";
|
||||
if (/pos|正/i.test(title)) return "positive";
|
||||
if (/neg|負/i.test(title)) return "negative";
|
||||
return "unknown";
|
||||
};
|
||||
|
||||
// --- Checkpoint nodes ---
|
||||
// Matches: CheckpointLoaderSimple, CheckpointLoader, "Checkpoint Loader" (WAS), etc.
|
||||
if (ct.includes("CheckpointLoader") || ct === "Checkpoint Loader") {
|
||||
result.checkpoint_nodes.push({
|
||||
id, type: ct, title,
|
||||
ckpt_name: inputs.ckpt_name,
|
||||
});
|
||||
}
|
||||
|
||||
// --- Prompt nodes ---
|
||||
|
||||
if (ct === "CLIPTextEncode") {
|
||||
let role = "unknown";
|
||||
if (samplerPositiveRef[id]) role = "positive";
|
||||
else if (samplerNegativeRef[id]) role = "negative";
|
||||
else if (/pos|正/i.test(title)) role = "positive";
|
||||
else if (/neg|負/i.test(title)) role = "negative";
|
||||
// Only add when text is a direct string (if linked, upstream node will be detected)
|
||||
const textVal = inputs.text;
|
||||
if (typeof textVal === "string") {
|
||||
result.prompt_nodes.push({
|
||||
id, type: ct, title, role: getRole(),
|
||||
text: textVal, textKey: "text",
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// SDXL dual-text encoder
|
||||
if (ct === "CLIPTextEncodeSDXL" || ct === "CLIPTextEncodeSDXLRefiner") {
|
||||
const textG = inputs.text_g;
|
||||
const textL = inputs.text_l;
|
||||
// Add only if at least one text field is a direct string
|
||||
if (typeof textG === "string" || typeof textL === "string") {
|
||||
result.prompt_nodes.push({
|
||||
id, type: ct, title, role: getRole(),
|
||||
text: typeof textG === "string" ? textG : (typeof textL === "string" ? textL : ""),
|
||||
textKey: typeof textG === "string" ? "text_g" : "text_l",
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Qwen-based image+text encoder
|
||||
if (ct === "TextEncodeQwenImageEditPlus") {
|
||||
result.prompt_nodes.push({
|
||||
id, type: ct, title, role,
|
||||
text: inputs.text,
|
||||
id, type: ct, title, role: getRole(),
|
||||
text: inputs.prompt || "",
|
||||
textKey: "prompt",
|
||||
});
|
||||
}
|
||||
|
||||
// SDXLPromptStyler / SDXLPromptStylerAdvanced — contains both pos & neg in one node
|
||||
if (ct === "SDXLPromptStyler" || ct === "SDXLPromptStylerAdvanced") {
|
||||
if (inputs.text_positive !== undefined) {
|
||||
result.prompt_nodes.push({
|
||||
id, type: ct, title: `${title} [positive]`, role: "positive",
|
||||
text: inputs.text_positive || "", textKey: "text_positive",
|
||||
});
|
||||
}
|
||||
if (inputs.text_negative !== undefined) {
|
||||
result.prompt_nodes.push({
|
||||
id, type: ct, title: `${title} [negative]`, role: "negative",
|
||||
text: inputs.text_negative || "", textKey: "text_negative",
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// ImpactWildcardEncode / ImpactWildcardProcessor — treat wildcard_text as prompt
|
||||
if (ct === "ImpactWildcardEncode" || ct === "ImpactWildcardProcessor") {
|
||||
const textVal = inputs.wildcard_text;
|
||||
if (typeof textVal === "string") {
|
||||
result.prompt_nodes.push({
|
||||
id, type: ct, title, role: getRole(),
|
||||
text: textVal, textKey: "wildcard_text",
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// PrimitiveStringMultiline / PrimitiveString — when feeding a prompt node
|
||||
if ((ct === "PrimitiveStringMultiline" || ct === "PrimitiveString") && (isPos || isNeg)) {
|
||||
result.prompt_nodes.push({
|
||||
id, type: ct, title, role: getRole(),
|
||||
text: inputs.value || "",
|
||||
textKey: "value",
|
||||
});
|
||||
}
|
||||
|
||||
// --- Latent nodes ---
|
||||
if (ct === "EmptyLatentImage" || ct === "EmptySD3LatentImage") {
|
||||
result.latent_nodes.push({
|
||||
id, type: ct, title,
|
||||
@@ -504,6 +656,7 @@ export const comfyWorkflow = {
|
||||
});
|
||||
}
|
||||
|
||||
// --- LoRA nodes ---
|
||||
if (ct === "LoraLoader" || ct === "LoraLoaderModelOnly") {
|
||||
result.lora_nodes.push({
|
||||
id, type: ct, title,
|
||||
@@ -513,14 +666,31 @@ export const comfyWorkflow = {
|
||||
});
|
||||
}
|
||||
|
||||
// Power Lora Loader (rgthree) — dynamic lora_N inputs in API format
|
||||
if (ct === "Power Lora Loader (rgthree)") {
|
||||
for (const [k, v] of Object.entries(inputs)) {
|
||||
if (/^lora_\d+$/.test(k) && typeof v === "string") {
|
||||
result.lora_nodes.push({
|
||||
id, type: ct, title,
|
||||
lora_name: v,
|
||||
strength_model: inputs[k.replace("lora_", "strength_")] ?? 1,
|
||||
strength_clip: inputs[k.replace("lora_", "strength_clip_")] ?? 1,
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// --- VAE nodes ---
|
||||
if (ct === "VAELoader") {
|
||||
result.vae_nodes.push({ id, type: ct, title, vae_name: inputs.vae_name });
|
||||
}
|
||||
|
||||
// --- Save/preview nodes ---
|
||||
if (ct === "SaveImage" || ct === "PreviewImage") {
|
||||
result.save_nodes.push({ id, type: ct, title });
|
||||
}
|
||||
|
||||
// --- Load image nodes ---
|
||||
if (ct === "LoadImage" || ct === "LoadImageMask"
|
||||
|| (ct.toLowerCase().includes("load") && ct.toLowerCase().includes("image") && inputs.image !== undefined)) {
|
||||
result.load_image_nodes.push({
|
||||
@@ -528,6 +698,7 @@ export const comfyWorkflow = {
|
||||
});
|
||||
}
|
||||
|
||||
// --- Text encoder (CLIP) nodes ---
|
||||
if (ct === "DualCLIPLoader" || ct === "CLIPLoader") {
|
||||
result.text_encoder_nodes.push({
|
||||
id, type: ct, title,
|
||||
@@ -536,12 +707,14 @@ export const comfyWorkflow = {
|
||||
});
|
||||
}
|
||||
|
||||
// --- Diffusion model nodes ---
|
||||
if (ct === "UNETLoader" || ct === "UnetLoaderGGUF") {
|
||||
result.diffusion_model_nodes.push({
|
||||
id, type: ct, title, unet_name: inputs.unet_name,
|
||||
});
|
||||
}
|
||||
|
||||
// --- ControlNet loader nodes ---
|
||||
if (ct.includes("ControlNetLoader")) {
|
||||
result.controlnet_nodes.push({
|
||||
id, type: ct, title,
|
||||
|
||||
@@ -0,0 +1,510 @@
|
||||
/**
|
||||
* Feeder Tab - ImageFeeder node control with embedded image library
|
||||
*/
|
||||
|
||||
import { comfyUI } from "./comfyui-client.js";
|
||||
import { showToast } from "./app.js";
|
||||
|
||||
// ── Module State ──────────────────────────────────────────────────
|
||||
const _s = {
|
||||
dir: "", // current folder relative path
|
||||
images: [], // filenames in current folder
|
||||
selected: new Set(),// selected filenames (across all interactions)
|
||||
presets: {}, // {presetName: {directory, selected_files}}
|
||||
running: false, // feeder run loop active
|
||||
};
|
||||
|
||||
// ── Node helpers ──────────────────────────────────────────────────
|
||||
|
||||
function _feederNodes() {
|
||||
const wf = comfyUI.currentWorkflow;
|
||||
if (!wf) return [];
|
||||
return Object.entries(wf)
|
||||
.filter(([, n]) => n?.class_type === "ImageFeeder")
|
||||
.map(([id, n]) => ({ id, title: n._meta?.title || `ImageFeeder` }));
|
||||
}
|
||||
|
||||
export function refreshFeederNodeList() {
|
||||
const sel = document.getElementById("wfm-feeder-node-sel");
|
||||
if (!sel) return;
|
||||
const nodes = _feederNodes();
|
||||
if (nodes.length === 0) {
|
||||
sel.innerHTML = `<option value="">-- No ImageFeeder node --</option>`;
|
||||
return;
|
||||
}
|
||||
const prevVal = sel.value;
|
||||
sel.innerHTML = nodes.map(n =>
|
||||
`<option value="${n.id}">${n.title} (ID:${n.id})</option>`
|
||||
).join("");
|
||||
if (prevVal && nodes.find(n => n.id === prevVal)) sel.value = prevVal;
|
||||
_loadFromNode(sel.value || nodes[0].id);
|
||||
}
|
||||
|
||||
function _loadFromNode(nodeId) {
|
||||
const wf = comfyUI.currentWorkflow;
|
||||
if (!wf?.[nodeId]) return;
|
||||
const inp = wf[nodeId].inputs || {};
|
||||
|
||||
_setVal("wfm-feeder-dir-input", inp.directory || "");
|
||||
_setVal("wfm-feeder-sort", inp.sort_mode || "ascending");
|
||||
_setVal("wfm-feeder-index", inp.index ?? 0);
|
||||
_setVal("wfm-feeder-start", inp.start_index ?? 0);
|
||||
_setVal("wfm-feeder-end", inp.end_index ?? 0);
|
||||
_setVal("wfm-feeder-batch", inp.batch_size ?? 1);
|
||||
_setVal("wfm-feeder-seed", inp.seed ?? 0);
|
||||
_setCheck("wfm-feeder-use-sel", inp.use_selection ?? true);
|
||||
|
||||
// Restore selected_files
|
||||
_s.selected.clear();
|
||||
try {
|
||||
const arr = JSON.parse(inp.selected_files || "[]");
|
||||
if (Array.isArray(arr)) arr.forEach(f => _s.selected.add(f));
|
||||
} catch {}
|
||||
|
||||
const dir = inp.directory || "";
|
||||
if (_s.dir !== dir) {
|
||||
_s.dir = dir;
|
||||
_loadImages(dir);
|
||||
_highlightTreeRow(dir);
|
||||
} else {
|
||||
_refreshGridCbs();
|
||||
}
|
||||
_updateStatus();
|
||||
}
|
||||
|
||||
function _applyToWorkflow() {
|
||||
const nodeId = document.getElementById("wfm-feeder-node-sel")?.value;
|
||||
const wf = comfyUI.currentWorkflow;
|
||||
if (!nodeId || !wf?.[nodeId]) {
|
||||
showToast("No ImageFeeder node selected", "error");
|
||||
return;
|
||||
}
|
||||
_applyToNode(nodeId);
|
||||
showToast("Applied to workflow", "success");
|
||||
}
|
||||
|
||||
// ── Run Loop ──────────────────────────────────────────────────────
|
||||
|
||||
function _setRunUI(running) {
|
||||
const runBtn = document.getElementById("wfm-feeder-run-btn");
|
||||
const stopBtn = document.getElementById("wfm-feeder-stop-btn");
|
||||
if (runBtn) runBtn.disabled = running;
|
||||
if (stopBtn) stopBtn.disabled = !running;
|
||||
}
|
||||
|
||||
function _applyToNode(nodeId) {
|
||||
const wf = comfyUI.currentWorkflow;
|
||||
const inp = wf[nodeId].inputs;
|
||||
inp.directory = _s.dir;
|
||||
inp.sort_mode = document.getElementById("wfm-feeder-sort")?.value || "ascending";
|
||||
inp.index = parseInt(document.getElementById("wfm-feeder-index")?.value) || 0;
|
||||
inp.start_index = parseInt(document.getElementById("wfm-feeder-start")?.value) || 0;
|
||||
inp.end_index = parseInt(document.getElementById("wfm-feeder-end")?.value) || 0;
|
||||
inp.batch_size = parseInt(document.getElementById("wfm-feeder-batch")?.value) || 1;
|
||||
inp.seed = parseInt(document.getElementById("wfm-feeder-seed")?.value) || 0;
|
||||
inp.use_selection = document.getElementById("wfm-feeder-use-sel")?.checked ?? true;
|
||||
inp.selected_files = JSON.stringify([..._s.selected]);
|
||||
}
|
||||
|
||||
async function _startRun() {
|
||||
if (_s.running) return;
|
||||
if (!comfyUI.currentWorkflow) { showToast("No workflow loaded", "error"); return; }
|
||||
if (!comfyUI.connected) { showToast("Not connected to ComfyUI", "error"); return; }
|
||||
|
||||
const nodeId = document.getElementById("wfm-feeder-node-sel")?.value;
|
||||
if (!nodeId || !comfyUI.currentWorkflow[nodeId]) {
|
||||
showToast("No ImageFeeder node selected", "error");
|
||||
return;
|
||||
}
|
||||
|
||||
// WebSocket を先に接続してノード sync メッセージを受け取れるようにする
|
||||
const wsOk = await comfyUI.connectWebSocket();
|
||||
if (!wsOk) { showToast("WebSocket connection failed", "error"); return; }
|
||||
|
||||
_s.running = true;
|
||||
_setRunUI(true);
|
||||
|
||||
const progressBar = document.getElementById("wfm-gen-progress-bar");
|
||||
const progressText = document.getElementById("wfm-gen-progress-text");
|
||||
const resultImg = document.getElementById("wfm-gen-result-img");
|
||||
|
||||
// image_loop_node_sync メッセージを捕捉するリスナー
|
||||
let _lastSync = null;
|
||||
const _syncHandler = (ev) => {
|
||||
try {
|
||||
const msg = JSON.parse(ev.data);
|
||||
if (msg.type === "image_loop_node_sync" && String(msg.data?.node_id) === String(nodeId)) {
|
||||
_lastSync = msg.data;
|
||||
}
|
||||
} catch {}
|
||||
};
|
||||
comfyUI.socket.addEventListener("message", _syncHandler);
|
||||
|
||||
let count = 0;
|
||||
try {
|
||||
while (_s.running) {
|
||||
_lastSync = null;
|
||||
_applyToNode(nodeId);
|
||||
|
||||
const wf = comfyUI.currentWorkflow;
|
||||
const inp = wf[nodeId].inputs;
|
||||
|
||||
if (progressBar) progressBar.style.width = "0%";
|
||||
if (progressText) progressText.textContent = `#${++count} 0%`;
|
||||
|
||||
// 右ペインのseed設定を使用（KSamplerに適用される）
|
||||
const seedMode = document.getElementById("wfm-gen-seed-mode")?.value || "random";
|
||||
const seedValue = parseInt(document.getElementById("wfm-gen-seed-value")?.value) || -1;
|
||||
|
||||
const { images, seed } = await comfyUI.generate(
|
||||
{ ...wf },
|
||||
{
|
||||
seedMode,
|
||||
seedValue,
|
||||
onProgress: (pct) => {
|
||||
if (progressBar) progressBar.style.width = `${(pct * 100).toFixed(1)}%`;
|
||||
if (progressText) progressText.textContent = `#${count} ${(pct * 100).toFixed(0)}%`;
|
||||
},
|
||||
}
|
||||
);
|
||||
|
||||
// 右ペインのseed表示を更新（通常の生成と同じ挙動）
|
||||
const seedEl = document.getElementById("wfm-gen-seed-value");
|
||||
if (seedEl) seedEl.value = seed;
|
||||
|
||||
if (progressBar) progressBar.style.width = "100%";
|
||||
|
||||
if (images.length > 0 && resultImg) {
|
||||
const blob = await comfyUI.getImageBlob(images[0]);
|
||||
resultImg.src = URL.createObjectURL(blob);
|
||||
resultImg.style.display = "block";
|
||||
}
|
||||
|
||||
if (!_s.running) break;
|
||||
|
||||
// control after generate: ノードから返された next_index を反映
|
||||
const control = document.getElementById("wfm-feeder-control-after")?.value || "loop";
|
||||
if (control === "fixed") {
|
||||
// index を変えない
|
||||
} else if (_lastSync) {
|
||||
const indexEl = document.getElementById("wfm-feeder-index");
|
||||
if (indexEl) indexEl.value = _lastSync.next_index;
|
||||
if (control === "increment" && !_lastSync.has_next) {
|
||||
_s.running = false;
|
||||
showToast(`Feeder complete (${count} generated)`, "success");
|
||||
break;
|
||||
}
|
||||
// loop: has_next=false でも次は index=0 からなので続行
|
||||
}
|
||||
}
|
||||
} catch (err) {
|
||||
if (_s.running) showToast("Feeder run error: " + err.message, "error");
|
||||
} finally {
|
||||
comfyUI.socket?.removeEventListener("message", _syncHandler);
|
||||
_s.running = false;
|
||||
_setRunUI(false);
|
||||
if (progressText) progressText.textContent = `Done (${count} generated)`;
|
||||
}
|
||||
}
|
||||
|
||||
async function _stopRun() {
|
||||
_s.running = false;
|
||||
try { await comfyUI.interrupt(); } catch {}
|
||||
_setRunUI(false);
|
||||
showToast("Feeder stopped", "info");
|
||||
}
|
||||
|
||||
// ── Folder Tree ───────────────────────────────────────────────────
|
||||
|
||||
async function _loadTree() {
|
||||
const container = document.getElementById("wfm-feeder-tree");
|
||||
if (!container) return;
|
||||
container.innerHTML = `<div class="wfm-feeder-tree-msg">Loading...</div>`;
|
||||
try {
|
||||
const res = await fetch("/image_loop/tree");
|
||||
if (!res.ok) throw new Error(res.status);
|
||||
const data = await res.json();
|
||||
_renderTree(data.tree || [], container);
|
||||
} catch (err) {
|
||||
container.innerHTML = `<div class="wfm-feeder-tree-msg">Cannot reach image-loop API</div>`;
|
||||
console.warn("[Feeder] tree load failed:", err);
|
||||
}
|
||||
}
|
||||
|
||||
function _renderTree(items, container, depth = 0) {
|
||||
if (depth === 0) {
|
||||
container.innerHTML = "";
|
||||
container.appendChild(_makeTreeRow("", "🏠 (root)", 0));
|
||||
}
|
||||
for (const item of items) {
|
||||
const icon = item.children?.length > 0 ? "📂" : "📁";
|
||||
container.appendChild(_makeTreeRow(item.path, `${icon} ${item.name}`, depth + 1));
|
||||
if (item.children?.length > 0) _renderTree(item.children, container, depth + 1);
|
||||
}
|
||||
}
|
||||
|
||||
function _makeTreeRow(path, label, depth) {
|
||||
const row = document.createElement("div");
|
||||
row.className = "wfm-feeder-tree-row" + (_s.dir === path ? " active" : "");
|
||||
row.style.paddingLeft = `${8 + depth * 12}px`;
|
||||
row.dataset.path = path;
|
||||
row.textContent = label;
|
||||
row.title = path || "(root)";
|
||||
row.addEventListener("click", () => _selectDir(path));
|
||||
return row;
|
||||
}
|
||||
|
||||
function _selectDir(path) {
|
||||
if (_s.dir !== path) {
|
||||
_s.selected.clear();
|
||||
_s.dir = path;
|
||||
_setVal("wfm-feeder-dir-input", path);
|
||||
}
|
||||
_highlightTreeRow(path);
|
||||
_loadImages(path);
|
||||
_updateStatus();
|
||||
}
|
||||
|
||||
function _highlightTreeRow(path) {
|
||||
document.querySelectorAll(".wfm-feeder-tree-row").forEach(el => {
|
||||
el.classList.toggle("active", el.dataset.path === path);
|
||||
});
|
||||
}
|
||||
|
||||
// ── Image Grid ────────────────────────────────────────────────────
|
||||
|
||||
async function _loadImages(dir) {
|
||||
const grid = document.getElementById("wfm-feeder-grid");
|
||||
if (!grid) return;
|
||||
grid.innerHTML = `<div class="wfm-feeder-grid-msg">Loading...</div>`;
|
||||
try {
|
||||
const url = "/image_loop/images" + (dir ? `?dir=${encodeURIComponent(dir)}` : "");
|
||||
const res = await fetch(url);
|
||||
if (!res.ok) throw new Error(res.status);
|
||||
const data = await res.json();
|
||||
_s.images = data.images || [];
|
||||
_renderGrid();
|
||||
} catch (err) {
|
||||
_s.images = [];
|
||||
grid.innerHTML = `<div class="wfm-feeder-grid-msg" style="color:var(--wfm-danger)">Load failed: ${err.message}</div>`;
|
||||
}
|
||||
_updateStatus();
|
||||
}
|
||||
|
||||
function _renderGrid() {
|
||||
const grid = document.getElementById("wfm-feeder-grid");
|
||||
if (!grid) return;
|
||||
if (_s.images.length === 0) {
|
||||
grid.innerHTML = `<div class="wfm-feeder-grid-msg">No images found</div>`;
|
||||
return;
|
||||
}
|
||||
grid.innerHTML = "";
|
||||
for (const fname of _s.images) grid.appendChild(_makeCard(fname));
|
||||
}
|
||||
|
||||
function _makeCard(fname) {
|
||||
const relPath = _s.dir ? `${_s.dir}/${fname}` : fname;
|
||||
const checked = _s.selected.has(fname);
|
||||
|
||||
const card = document.createElement("div");
|
||||
card.className = "wfm-feeder-card" + (checked ? " selected" : "");
|
||||
card.dataset.name = fname;
|
||||
|
||||
const cb = document.createElement("input");
|
||||
cb.type = "checkbox";
|
||||
cb.className = "wfm-feeder-card-cb";
|
||||
cb.checked = checked;
|
||||
cb.addEventListener("change", e => {
|
||||
e.stopPropagation();
|
||||
if (cb.checked) _s.selected.add(fname);
|
||||
else _s.selected.delete(fname);
|
||||
card.classList.toggle("selected", cb.checked);
|
||||
_updateStatus();
|
||||
});
|
||||
|
||||
const img = document.createElement("img");
|
||||
img.className = "wfm-feeder-card-img";
|
||||
img.loading = "lazy";
|
||||
img.src = `/image_loop/thumbnail?path=${encodeURIComponent(relPath)}`;
|
||||
img.onerror = () => { img.style.display = "none"; card.style.minHeight = "110px"; };
|
||||
|
||||
const name = document.createElement("div");
|
||||
name.className = "wfm-feeder-card-name";
|
||||
name.textContent = fname;
|
||||
name.title = fname;
|
||||
|
||||
card.append(cb, img, name);
|
||||
card.addEventListener("click", e => {
|
||||
if (e.target === cb) return;
|
||||
_showPreview(relPath, fname);
|
||||
});
|
||||
return card;
|
||||
}
|
||||
|
||||
function _refreshGridCbs() {
|
||||
document.querySelectorAll(".wfm-feeder-card").forEach(card => {
|
||||
const sel = _s.selected.has(card.dataset.name);
|
||||
card.classList.toggle("selected", sel);
|
||||
const cb = card.querySelector("input[type=checkbox]");
|
||||
if (cb) cb.checked = sel;
|
||||
});
|
||||
}
|
||||
|
||||
function _selectAll() {
|
||||
_s.images.forEach(f => _s.selected.add(f));
|
||||
_refreshGridCbs();
|
||||
_updateStatus();
|
||||
}
|
||||
|
||||
function _deselectAll() {
|
||||
_s.images.forEach(f => _s.selected.delete(f));
|
||||
_refreshGridCbs();
|
||||
_updateStatus();
|
||||
}
|
||||
|
||||
// ── Status Bar ───────────────────────────────────────────────────
|
||||
|
||||
function _updateStatus() {
|
||||
const el = document.getElementById("wfm-feeder-status");
|
||||
if (!el) return;
|
||||
const inCurrent = _s.images.filter(f => _s.selected.has(f)).length;
|
||||
el.textContent = `📂 ${_s.dir || "(root)"} | ${inCurrent} / ${_s.images.length} selected`;
|
||||
}
|
||||
|
||||
// ── Preview Panel ────────────────────────────────────────────────
|
||||
|
||||
async function _showPreview(relPath, fname) {
|
||||
const imgEl = document.getElementById("wfm-feeder-preview-img");
|
||||
const nameEl = document.getElementById("wfm-feeder-preview-name");
|
||||
const infoEl = document.getElementById("wfm-feeder-preview-info");
|
||||
|
||||
if (imgEl) {
|
||||
imgEl.src = `/image_loop/thumbnail?path=${encodeURIComponent(relPath)}`;
|
||||
imgEl.style.display = "block";
|
||||
}
|
||||
if (nameEl) nameEl.textContent = fname;
|
||||
if (infoEl) infoEl.textContent = "Loading...";
|
||||
|
||||
try {
|
||||
const res = await fetch(`/image_loop/image_info?path=${encodeURIComponent(relPath)}`);
|
||||
if (res.ok && infoEl) {
|
||||
const d = await res.json();
|
||||
const kb = d.size_bytes ? (d.size_bytes / 1024).toFixed(1) + " KB" : "";
|
||||
infoEl.textContent = `${d.width ?? "?"}×${d.height ?? "?"} px\n${kb}`;
|
||||
}
|
||||
} catch { if (infoEl) infoEl.textContent = ""; }
|
||||
}
|
||||
|
||||
// ── Presets ──────────────────────────────────────────────────────
|
||||
|
||||
async function _loadPresets() {
|
||||
try {
|
||||
const res = await fetch("/image_feeder/presets");
|
||||
if (!res.ok) return;
|
||||
_s.presets = await res.json();
|
||||
} catch { _s.presets = {}; }
|
||||
_renderPresets();
|
||||
}
|
||||
|
||||
function _renderPresets() {
|
||||
const sel = document.getElementById("wfm-feeder-preset-sel");
|
||||
if (!sel) return;
|
||||
const names = Object.keys(_s.presets).sort();
|
||||
sel.innerHTML = `<option value="">-- Select preset --</option>` +
|
||||
names.map(n => `<option value="${n}">${n}</option>`).join("");
|
||||
}
|
||||
|
||||
async function _savePreset() {
|
||||
const name = document.getElementById("wfm-feeder-preset-name")?.value.trim();
|
||||
if (!name) { showToast("Enter a preset name", "error"); return; }
|
||||
const sel = _s.images.filter(f => _s.selected.has(f));
|
||||
try {
|
||||
const res = await fetch("/image_feeder/presets", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ name, directory: _s.dir, selected_files: sel }),
|
||||
});
|
||||
if (res.ok) {
|
||||
showToast(`Preset saved: ${name}`, "success");
|
||||
const nameInput = document.getElementById("wfm-feeder-preset-name");
|
||||
if (nameInput) nameInput.value = "";
|
||||
await _loadPresets();
|
||||
const selEl = document.getElementById("wfm-feeder-preset-sel");
|
||||
if (selEl) selEl.value = name;
|
||||
} else { showToast("Save failed", "error"); }
|
||||
} catch (err) { showToast("Save error: " + err.message, "error"); }
|
||||
}
|
||||
|
||||
async function _applyPreset() {
|
||||
const selEl = document.getElementById("wfm-feeder-preset-sel");
|
||||
const name = selEl?.value;
|
||||
if (!name || !_s.presets[name]) { showToast("Select a preset first", "error"); return; }
|
||||
const preset = _s.presets[name];
|
||||
const dir = preset.directory || "";
|
||||
|
||||
_s.selected.clear();
|
||||
(preset.selected_files || []).forEach(f => _s.selected.add(f));
|
||||
_setVal("wfm-feeder-dir-input", dir);
|
||||
|
||||
if (_s.dir !== dir) {
|
||||
_s.dir = dir;
|
||||
_highlightTreeRow(dir);
|
||||
await _loadImages(dir);
|
||||
}
|
||||
_refreshGridCbs();
|
||||
_updateStatus();
|
||||
showToast(`Preset loaded: ${name}`, "success");
|
||||
}
|
||||
|
||||
async function _deletePreset() {
|
||||
const name = document.getElementById("wfm-feeder-preset-sel")?.value;
|
||||
if (!name) return;
|
||||
try {
|
||||
await fetch(`/image_feeder/presets/${encodeURIComponent(name)}`, { method: "DELETE" });
|
||||
showToast(`Preset deleted: ${name}`, "info");
|
||||
await _loadPresets();
|
||||
} catch (err) { showToast("Delete error", "error"); }
|
||||
}
|
||||
|
||||
// ── Helpers ───────────────────────────────────────────────────────
|
||||
|
||||
function _setVal(id, val) {
|
||||
const el = document.getElementById(id);
|
||||
if (el) el.value = val ?? "";
|
||||
}
|
||||
function _setCheck(id, val) {
|
||||
const el = document.getElementById(id);
|
||||
if (el) el.checked = !!val;
|
||||
}
|
||||
|
||||
// ── Init ─────────────────────────────────────────────────────────
|
||||
|
||||
export async function initFeederTab() {
|
||||
document.getElementById("wfm-feeder-node-sel")?.addEventListener("change", e => {
|
||||
_loadFromNode(e.target.value);
|
||||
});
|
||||
|
||||
document.getElementById("wfm-feeder-apply-btn")?.addEventListener("click", _applyToWorkflow);
|
||||
|
||||
document.getElementById("wfm-feeder-dir-input")?.addEventListener("change", e => {
|
||||
const val = e.target.value.trim();
|
||||
if (_s.dir !== val) {
|
||||
_s.dir = val;
|
||||
_highlightTreeRow(val);
|
||||
_loadImages(val);
|
||||
}
|
||||
});
|
||||
|
||||
document.getElementById("wfm-feeder-reload-tree")?.addEventListener("click", _loadTree);
|
||||
document.getElementById("wfm-feeder-sel-all")?.addEventListener("click", _selectAll);
|
||||
document.getElementById("wfm-feeder-desel-all")?.addEventListener("click", _deselectAll);
|
||||
|
||||
document.getElementById("wfm-feeder-preset-save")?.addEventListener("click", _savePreset);
|
||||
document.getElementById("wfm-feeder-preset-load")?.addEventListener("click", _applyPreset);
|
||||
document.getElementById("wfm-feeder-preset-del")?.addEventListener("click", _deletePreset);
|
||||
|
||||
document.getElementById("wfm-feeder-run-btn")?.addEventListener("click", _startRun);
|
||||
document.getElementById("wfm-feeder-stop-btn")?.addEventListener("click", _stopRun);
|
||||
|
||||
await Promise.all([_loadTree(), _loadPresets()]);
|
||||
}
|
||||
+431
-49
@@ -8,6 +8,7 @@ import { comfyWorkflow } from "./comfyui-workflow.js";
|
||||
import { comfyEditor } from "./comfyui-editor.js";
|
||||
import { t } from "./i18n.js";
|
||||
import { syncJsonHighlight, syncScroll } from "./json-highlight.js";
|
||||
import { initFeederTab, refreshFeederNodeList } from "./feeder-tab.js";
|
||||
|
||||
// ============================================
|
||||
// Eagle Auto-Save
|
||||
@@ -145,6 +146,8 @@ export async function loadWorkflowIntoEditor(workflow, filename) {
|
||||
const genBtn = document.getElementById("wfm-gen-generate-btn");
|
||||
if (genBtn) genBtn.disabled = !comfyUI.connected;
|
||||
|
||||
refreshFeederNodeList();
|
||||
|
||||
showToast(`Workflow loaded: ${filename || ""}`, "success");
|
||||
return true;
|
||||
}
|
||||
@@ -153,49 +156,286 @@ export async function loadWorkflowIntoEditor(workflow, filename) {
|
||||
// Checkpoint Batch
|
||||
// ============================================
|
||||
|
||||
const _ckptBatch = { aborted: false };
|
||||
const _ckptBatch = { aborted: false, paused: false, _resumeResolve: null };
|
||||
|
||||
function _parseFolderList(str) {
|
||||
return str.split(",").map((s) => s.trim().toLowerCase()).filter(Boolean);
|
||||
async function _waitIfPaused() {
|
||||
if (!_ckptBatch.paused) return;
|
||||
await new Promise((resolve) => { _ckptBatch._resumeResolve = resolve; });
|
||||
}
|
||||
|
||||
function _getModelFolder(modelPath) {
|
||||
const normalized = modelPath.replace(/\\/g, "/");
|
||||
const idx = normalized.indexOf("/");
|
||||
return idx === -1 ? "" : normalized.substring(0, idx).toLowerCase();
|
||||
function _setPauseBtnState(paused) {
|
||||
const btn = document.getElementById("wfm-ckpt-batch-pause-btn");
|
||||
if (!btn) return;
|
||||
btn.textContent = paused ? "Resume" : "Pause";
|
||||
btn.style.background = paused ? "var(--wfm-success, #22c55e)" : "";
|
||||
btn.style.color = paused ? "#fff" : "";
|
||||
}
|
||||
|
||||
function _filterCheckpoints(checkpoints, includeStr, excludeStr) {
|
||||
const inc = _parseFolderList(includeStr);
|
||||
const exc = _parseFolderList(excludeStr);
|
||||
return checkpoints.filter((m) => {
|
||||
const folder = _getModelFolder(m);
|
||||
if (inc.length > 0 && !inc.includes(folder)) return false;
|
||||
if (exc.length > 0 && exc.includes(folder)) return false;
|
||||
return true;
|
||||
});
|
||||
// mode: "all" = 全選択, "some" = 一部選択, "none" = 全解除
|
||||
const _ckptState = { mode: "all", selected: new Set() };
|
||||
|
||||
function _getSelectedCheckpoints() {
|
||||
const all = comfyEditor.models.checkpoints || [];
|
||||
if (_ckptState.mode === "all") return all;
|
||||
if (_ckptState.mode === "none") return [];
|
||||
return all.filter((m) => _ckptState.selected.has(m));
|
||||
}
|
||||
|
||||
function _updateDropdownLabel() {
|
||||
const labelEl = document.getElementById("wfm-ckpt-dropdown-label");
|
||||
if (!labelEl) return;
|
||||
const total = (comfyEditor.models.checkpoints || []).length;
|
||||
if (_ckptState.mode === "all") {
|
||||
labelEl.textContent = total > 0 ? `All (${total})` : "All checkpoints";
|
||||
} else if (_ckptState.mode === "none") {
|
||||
labelEl.textContent = `0 / ${total} selected`;
|
||||
} else {
|
||||
labelEl.textContent = `${_ckptState.selected.size} / ${total} selected`;
|
||||
}
|
||||
}
|
||||
|
||||
// モデルパスリストをフォルダ → [modelPath, ...] のMapに変換
|
||||
function _buildFolderTree(models) {
|
||||
const map = new Map();
|
||||
for (const m of models) {
|
||||
const normalized = m.replace(/\\/g, "/");
|
||||
const lastSlash = normalized.lastIndexOf("/");
|
||||
const folder = lastSlash === -1 ? "" : normalized.substring(0, lastSlash);
|
||||
if (!map.has(folder)) map.set(folder, []);
|
||||
map.get(folder).push(m);
|
||||
}
|
||||
return new Map([...map.entries()].sort((a, b) => {
|
||||
if (a[0] === b[0]) return 0;
|
||||
if (a[0] === "") return -1;
|
||||
if (b[0] === "") return 1;
|
||||
return a[0].localeCompare(b[0]);
|
||||
}));
|
||||
}
|
||||
|
||||
// フォルダ内の選択状態を返す: "checked" | "indeterminate" | "unchecked"
|
||||
function _getFolderCheckState(folderModels) {
|
||||
if (_ckptState.mode === "all") return "checked";
|
||||
if (_ckptState.mode === "none") return "unchecked";
|
||||
const selCount = folderModels.filter((m) => _ckptState.selected.has(m)).length;
|
||||
if (selCount === 0) return "unchecked";
|
||||
if (selCount === folderModels.length) return "checked";
|
||||
return "indeterminate";
|
||||
}
|
||||
|
||||
// 単一モデルの選択トグル（_ckptState を更新）
|
||||
function _toggleSingleModel(m, checked, all) {
|
||||
if (_ckptState.mode === "all" && !checked) {
|
||||
_ckptState.mode = "some";
|
||||
_ckptState.selected.clear();
|
||||
all.forEach((x) => _ckptState.selected.add(x));
|
||||
} else if (_ckptState.mode === "none" && checked) {
|
||||
_ckptState.mode = "some";
|
||||
_ckptState.selected.clear();
|
||||
}
|
||||
if (checked) _ckptState.selected.add(m);
|
||||
else _ckptState.selected.delete(m);
|
||||
if (_ckptState.selected.size === all.length) { _ckptState.mode = "all"; _ckptState.selected.clear(); }
|
||||
if (_ckptState.mode === "some" && _ckptState.selected.size === 0) _ckptState.mode = "none";
|
||||
}
|
||||
|
||||
// フォルダ単位の一括トグル（_ckptState を更新）
|
||||
function _toggleFolderModels(folderModels, checked, all) {
|
||||
if (_ckptState.mode === "all" && !checked) {
|
||||
_ckptState.mode = "some";
|
||||
_ckptState.selected.clear();
|
||||
all.forEach((x) => _ckptState.selected.add(x));
|
||||
} else if (_ckptState.mode === "none" && checked) {
|
||||
_ckptState.mode = "some";
|
||||
_ckptState.selected.clear();
|
||||
}
|
||||
folderModels.forEach((m) => { if (checked) _ckptState.selected.add(m); else _ckptState.selected.delete(m); });
|
||||
if (_ckptState.selected.size === all.length) { _ckptState.mode = "all"; _ckptState.selected.clear(); }
|
||||
if (_ckptState.mode === "some" && _ckptState.selected.size === 0) _ckptState.mode = "none";
|
||||
}
|
||||
|
||||
function _rebuildCkptList() {
|
||||
const listEl = document.getElementById("wfm-ckpt-list");
|
||||
if (!listEl) return;
|
||||
const all = comfyEditor.models.checkpoints || [];
|
||||
const search = document.getElementById("wfm-ckpt-search")?.value.toLowerCase() || "";
|
||||
const filtered = search ? all.filter((m) => m.toLowerCase().includes(search)) : all;
|
||||
|
||||
if (filtered.length === 0) {
|
||||
listEl.innerHTML = `<div style="padding:8px 10px;font-size:11px;color:var(--wfm-text-secondary);">No checkpoints</div>`;
|
||||
return;
|
||||
}
|
||||
|
||||
const folderTree = _buildFolderTree(filtered);
|
||||
listEl.innerHTML = "";
|
||||
|
||||
for (const [folder, models] of folderTree) {
|
||||
const group = document.createElement("div");
|
||||
group.className = "wfm-ckpt-folder-group open";
|
||||
|
||||
// --- フォルダヘッダー ---
|
||||
const header = document.createElement("div");
|
||||
header.className = "wfm-ckpt-folder-header";
|
||||
|
||||
const folderCb = document.createElement("input");
|
||||
folderCb.type = "checkbox";
|
||||
const folderState = _getFolderCheckState(models);
|
||||
folderCb.checked = folderState === "checked";
|
||||
folderCb.indeterminate = folderState === "indeterminate";
|
||||
|
||||
const toggle = document.createElement("span");
|
||||
toggle.className = "wfm-ckpt-folder-toggle";
|
||||
toggle.textContent = "▶";
|
||||
|
||||
const nameSpan = document.createElement("span");
|
||||
nameSpan.className = "wfm-ckpt-folder-name";
|
||||
nameSpan.textContent = folder || "(root)";
|
||||
nameSpan.title = folder || "(root)";
|
||||
|
||||
const countSpan = document.createElement("span");
|
||||
countSpan.className = "wfm-ckpt-folder-count";
|
||||
countSpan.textContent = models.length;
|
||||
|
||||
// --- ファイルリスト ---
|
||||
const filesDiv = document.createElement("div");
|
||||
filesDiv.className = "wfm-ckpt-folder-files";
|
||||
|
||||
for (const m of models) {
|
||||
const itemLabel = document.createElement("label");
|
||||
itemLabel.className = "wfm-ckpt-item wfm-ckpt-item--indented";
|
||||
|
||||
const fileCb = document.createElement("input");
|
||||
fileCb.type = "checkbox";
|
||||
fileCb.value = m;
|
||||
if (_ckptState.mode === "all") fileCb.checked = true;
|
||||
else if (_ckptState.mode === "none") fileCb.checked = false;
|
||||
else fileCb.checked = _ckptState.selected.has(m);
|
||||
|
||||
const normalized = m.replace(/\\/g, "/");
|
||||
const lastSlash = normalized.lastIndexOf("/");
|
||||
const fileName = lastSlash === -1 ? m : m.substring(lastSlash + 1);
|
||||
const fileSpan = document.createElement("span");
|
||||
fileSpan.className = "wfm-ckpt-item-label";
|
||||
fileSpan.textContent = fileName;
|
||||
fileSpan.title = m;
|
||||
|
||||
fileCb.addEventListener("change", () => {
|
||||
_toggleSingleModel(m, fileCb.checked, all);
|
||||
const s = _getFolderCheckState(models);
|
||||
folderCb.checked = s === "checked";
|
||||
folderCb.indeterminate = s === "indeterminate";
|
||||
_updateDropdownLabel();
|
||||
_updateBatchInfo();
|
||||
});
|
||||
|
||||
itemLabel.appendChild(fileCb);
|
||||
itemLabel.appendChild(fileSpan);
|
||||
filesDiv.appendChild(itemLabel);
|
||||
}
|
||||
|
||||
// フォルダCBのchange
|
||||
folderCb.addEventListener("change", () => {
|
||||
_toggleFolderModels(models, folderCb.checked, all);
|
||||
folderCb.indeterminate = false;
|
||||
filesDiv.querySelectorAll("input[type=checkbox]").forEach((cb) => { cb.checked = folderCb.checked; });
|
||||
_updateDropdownLabel();
|
||||
_updateBatchInfo();
|
||||
});
|
||||
|
||||
// フォルダ名 / トグル矢印クリックで展開・折りたたみ
|
||||
[toggle, nameSpan].forEach((el) => {
|
||||
el.addEventListener("click", () => group.classList.toggle("open"));
|
||||
});
|
||||
|
||||
header.appendChild(folderCb);
|
||||
header.appendChild(toggle);
|
||||
header.appendChild(nameSpan);
|
||||
header.appendChild(countSpan);
|
||||
group.appendChild(header);
|
||||
group.appendChild(filesDiv);
|
||||
listEl.appendChild(group);
|
||||
}
|
||||
}
|
||||
|
||||
function _updateBatchInfo() {
|
||||
const infoEl = document.getElementById("wfm-ckpt-batch-info");
|
||||
if (!infoEl) return;
|
||||
const inc = document.getElementById("wfm-ckpt-batch-include")?.value || "";
|
||||
const exc = document.getElementById("wfm-ckpt-batch-exclude")?.value || "";
|
||||
const n = _filterCheckpoints(comfyEditor.models.checkpoints, inc, exc).length;
|
||||
const n = _getSelectedCheckpoints().length;
|
||||
infoEl.textContent = `${n} checkpoint${n !== 1 ? "s" : ""} will be processed`;
|
||||
}
|
||||
|
||||
function initCheckpointBatch() {
|
||||
const checkbox = document.getElementById("wfm-ckpt-batch-enabled");
|
||||
const body = document.getElementById("wfm-ckpt-batch-body");
|
||||
const wrap = document.getElementById("wfm-ckpt-dropdown-wrap");
|
||||
const btn = document.getElementById("wfm-ckpt-dropdown-btn");
|
||||
const panel = document.getElementById("wfm-ckpt-dropdown-panel");
|
||||
|
||||
checkbox?.addEventListener("change", () => {
|
||||
if (body) body.style.display = checkbox.checked ? "block" : "none";
|
||||
if (checkbox.checked) _updateBatchInfo();
|
||||
if (checkbox.checked) {
|
||||
_updateDropdownLabel();
|
||||
_updateBatchInfo();
|
||||
}
|
||||
});
|
||||
|
||||
document.getElementById("wfm-ckpt-batch-include")?.addEventListener("input", _updateBatchInfo);
|
||||
document.getElementById("wfm-ckpt-batch-exclude")?.addEventListener("input", _updateBatchInfo);
|
||||
// ドロップダウン開閉
|
||||
btn?.addEventListener("click", (e) => {
|
||||
e.stopPropagation();
|
||||
const isOpen = panel.style.display !== "none";
|
||||
if (isOpen) {
|
||||
panel.style.display = "none";
|
||||
wrap.classList.remove("open");
|
||||
} else {
|
||||
_rebuildCkptList();
|
||||
panel.style.display = "block";
|
||||
wrap.classList.add("open");
|
||||
document.getElementById("wfm-ckpt-search")?.focus();
|
||||
}
|
||||
});
|
||||
|
||||
// 外側クリックで閉じる
|
||||
document.addEventListener("click", (e) => {
|
||||
if (panel && panel.style.display !== "none" && !wrap?.contains(e.target)) {
|
||||
panel.style.display = "none";
|
||||
wrap?.classList.remove("open");
|
||||
}
|
||||
});
|
||||
|
||||
// 検索フィルター
|
||||
document.getElementById("wfm-ckpt-search")?.addEventListener("input", _rebuildCkptList);
|
||||
|
||||
// 全選択
|
||||
document.getElementById("wfm-ckpt-select-all")?.addEventListener("click", () => {
|
||||
_ckptState.mode = "all";
|
||||
_ckptState.selected.clear();
|
||||
_rebuildCkptList();
|
||||
_updateDropdownLabel();
|
||||
_updateBatchInfo();
|
||||
});
|
||||
|
||||
// 全解除
|
||||
document.getElementById("wfm-ckpt-deselect-all")?.addEventListener("click", () => {
|
||||
_ckptState.mode = "none";
|
||||
_ckptState.selected.clear();
|
||||
_rebuildCkptList();
|
||||
_updateDropdownLabel();
|
||||
_updateBatchInfo();
|
||||
});
|
||||
|
||||
// Pause / Resume
|
||||
document.getElementById("wfm-ckpt-batch-pause-btn")?.addEventListener("click", () => {
|
||||
if (!_ckptBatch.paused) {
|
||||
_ckptBatch.paused = true;
|
||||
_setPauseBtnState(true);
|
||||
} else {
|
||||
_ckptBatch.paused = false;
|
||||
_setPauseBtnState(false);
|
||||
if (_ckptBatch._resumeResolve) {
|
||||
_ckptBatch._resumeResolve();
|
||||
_ckptBatch._resumeResolve = null;
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// ============================================
|
||||
@@ -283,12 +523,10 @@ async function _runBatchGenerate() {
|
||||
return;
|
||||
}
|
||||
|
||||
const inc = document.getElementById("wfm-ckpt-batch-include")?.value || "";
|
||||
const exc = document.getElementById("wfm-ckpt-batch-exclude")?.value || "";
|
||||
const list = _filterCheckpoints(comfyEditor.models.checkpoints, inc, exc);
|
||||
const list = _getSelectedCheckpoints();
|
||||
|
||||
if (list.length === 0) {
|
||||
showToast("No checkpoints match the folder filter", "error");
|
||||
showToast("No checkpoints selected", "error");
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -299,33 +537,54 @@ async function _runBatchGenerate() {
|
||||
const progressText = document.getElementById("wfm-gen-progress-text");
|
||||
|
||||
if (batchProgress) batchProgress.style.display = "block";
|
||||
const pauseBtn = document.getElementById("wfm-ckpt-batch-pause-btn");
|
||||
if (pauseBtn) { pauseBtn.style.display = "block"; pauseBtn.disabled = false; }
|
||||
_setPauseBtnState(false);
|
||||
|
||||
let completed = 0;
|
||||
let failed = 0;
|
||||
|
||||
for (let i = 0; i < list.length; i++) {
|
||||
if (_ckptBatch.aborted) break;
|
||||
try {
|
||||
for (let i = 0; i < list.length; i++) {
|
||||
if (_ckptBatch.aborted) break;
|
||||
|
||||
const model = list[i];
|
||||
if (batchCurrentName) batchCurrentName.textContent = model;
|
||||
if (batchCount) batchCount.textContent = `${i + 1} / ${list.length}`;
|
||||
if (batchBar) batchBar.style.width = `${((i / list.length) * 100).toFixed(1)}%`;
|
||||
if (progressText) progressText.textContent = `[${i + 1}/${list.length}] Loading...`;
|
||||
// 一時停止中は次のモデルへ進む前に待機
|
||||
if (_ckptBatch.paused) {
|
||||
if (batchCurrentName) batchCurrentName.textContent = "Paused...";
|
||||
if (progressText) progressText.textContent = "Paused";
|
||||
}
|
||||
await _waitIfPaused();
|
||||
if (_ckptBatch.aborted) break;
|
||||
|
||||
for (const node of ckptNodes) {
|
||||
if (comfyUI.currentWorkflow?.[node.id]) {
|
||||
comfyUI.currentWorkflow[node.id].inputs.ckpt_name = model;
|
||||
const model = list[i];
|
||||
if (batchCurrentName) batchCurrentName.textContent = model;
|
||||
if (batchCount) batchCount.textContent = `${i + 1} / ${list.length}`;
|
||||
if (batchBar) batchBar.style.width = `${((i / list.length) * 100).toFixed(1)}%`;
|
||||
if (progressText) progressText.textContent = `[${i + 1}/${list.length}] Loading...`;
|
||||
|
||||
for (const node of ckptNodes) {
|
||||
if (comfyUI.currentWorkflow?.[node.id]) {
|
||||
comfyUI.currentWorkflow[node.id].inputs.ckpt_name = model;
|
||||
}
|
||||
}
|
||||
|
||||
try {
|
||||
await _coreGenerate(true);
|
||||
completed++;
|
||||
} catch (err) {
|
||||
if (_ckptBatch.aborted) break;
|
||||
failed++;
|
||||
showToast(`[${i + 1}/${list.length}] Failed: ${err.message}`, "error");
|
||||
}
|
||||
}
|
||||
|
||||
try {
|
||||
await _coreGenerate(true);
|
||||
completed++;
|
||||
} catch (err) {
|
||||
if (_ckptBatch.aborted) break;
|
||||
failed++;
|
||||
showToast(`[${i + 1}/${list.length}] Failed: ${err.message}`, "error");
|
||||
} finally {
|
||||
if (pauseBtn) pauseBtn.disabled = true;
|
||||
_ckptBatch.paused = false;
|
||||
if (_ckptBatch._resumeResolve) {
|
||||
_ckptBatch._resumeResolve();
|
||||
_ckptBatch._resumeResolve = null;
|
||||
}
|
||||
_setPauseBtnState(false);
|
||||
}
|
||||
|
||||
if (batchBar) batchBar.style.width = "100%";
|
||||
@@ -360,6 +619,8 @@ async function handleGenerate() {
|
||||
genBtn.disabled = true;
|
||||
if (interruptBtn) interruptBtn.style.display = "inline-block";
|
||||
_ckptBatch.aborted = false;
|
||||
_ckptBatch.paused = false;
|
||||
_ckptBatch._resumeResolve = null;
|
||||
|
||||
const batchEnabled = document.getElementById("wfm-ckpt-batch-enabled")?.checked;
|
||||
|
||||
@@ -408,6 +669,7 @@ export async function initGenerateTab() {
|
||||
comfyEditor.renderAll(comfyUI.currentAnalysis, comfyUI.currentWorkflow);
|
||||
}
|
||||
showToast("Model lists refreshed", "success");
|
||||
_updateDropdownLabel();
|
||||
_updateBatchInfo();
|
||||
});
|
||||
|
||||
@@ -417,6 +679,12 @@ export async function initGenerateTab() {
|
||||
// Interrupt button (stops both single generation and batch loop)
|
||||
document.getElementById("wfm-gen-interrupt-btn")?.addEventListener("click", async () => {
|
||||
_ckptBatch.aborted = true;
|
||||
// 一時停止中でもループを抜けられるよう待機を解除
|
||||
_ckptBatch.paused = false;
|
||||
if (_ckptBatch._resumeResolve) {
|
||||
_ckptBatch._resumeResolve();
|
||||
_ckptBatch._resumeResolve = null;
|
||||
}
|
||||
await comfyUI.interrupt();
|
||||
showToast("Interrupted", "info");
|
||||
});
|
||||
@@ -424,8 +692,13 @@ export async function initGenerateTab() {
|
||||
// Move shared Raw JSON widget into the active tab's rawjson-col
|
||||
function moveRawJsonToTab(tabKey) {
|
||||
const widget = document.getElementById("wfm-gen-rawjson-widget");
|
||||
if (!widget) return;
|
||||
if (tabKey === "feeder") {
|
||||
widget.style.display = "none";
|
||||
return;
|
||||
}
|
||||
const col = document.getElementById(`wfm-gen-rawjson-col-${tabKey}`);
|
||||
if (widget && col) {
|
||||
if (col) {
|
||||
col.appendChild(widget);
|
||||
widget.style.display = "flex";
|
||||
}
|
||||
@@ -458,14 +731,119 @@ export async function initGenerateTab() {
|
||||
}
|
||||
});
|
||||
|
||||
// Raw JSON highlight sync on input/scroll
|
||||
// Raw JSON highlight sync + search
|
||||
{
|
||||
const editor = document.getElementById("wfm-gen-raw-json");
|
||||
const highlight = document.getElementById("wfm-gen-raw-json-highlight");
|
||||
if (editor && highlight) {
|
||||
editor.addEventListener("input", () => syncJsonHighlight(highlight, editor.value));
|
||||
editor.addEventListener("scroll", () => syncScroll(editor, highlight));
|
||||
const searchOverlay = document.getElementById("wfm-gen-raw-json-search-overlay");
|
||||
const searchInput = document.getElementById("wfm-gen-raw-search");
|
||||
const searchCount = document.getElementById("wfm-gen-raw-search-count");
|
||||
const searchPrev = document.getElementById("wfm-gen-raw-search-prev");
|
||||
const searchNext = document.getElementById("wfm-gen-raw-search-next");
|
||||
const searchClear = document.getElementById("wfm-gen-raw-search-clear");
|
||||
|
||||
let currentMatchIndex = 0;
|
||||
let matchPositions = [];
|
||||
|
||||
function updateSearchOverlay() {
|
||||
if (!editor || !searchOverlay || !searchInput) return;
|
||||
const term = searchInput.value;
|
||||
if (!term) {
|
||||
searchOverlay.innerHTML = "";
|
||||
if (searchCount) { searchCount.textContent = ""; searchCount.style.color = ""; }
|
||||
matchPositions = [];
|
||||
return;
|
||||
}
|
||||
|
||||
const text = editor.value;
|
||||
const escapedTerm = term.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
|
||||
const regex = new RegExp(escapedTerm, "gi");
|
||||
|
||||
matchPositions = [];
|
||||
let m;
|
||||
while ((m = regex.exec(text)) !== null) matchPositions.push(m.index);
|
||||
|
||||
if (matchPositions.length === 0) {
|
||||
searchOverlay.innerHTML = "";
|
||||
if (searchCount) { searchCount.textContent = "No results"; searchCount.style.color = "#e06c75"; }
|
||||
return;
|
||||
}
|
||||
|
||||
if (searchCount) searchCount.style.color = "";
|
||||
if (currentMatchIndex >= matchPositions.length) currentMatchIndex = 0;
|
||||
if (searchCount) searchCount.textContent = `${currentMatchIndex + 1}/${matchPositions.length}`;
|
||||
|
||||
const escapedHtml = text.replace(/&/g, "&").replace(/</g, "<").replace(/>/g, ">");
|
||||
let matchIdx = 0;
|
||||
const html = escapedHtml.replace(new RegExp(escapedTerm, "gi"), (match) => {
|
||||
const cls = matchIdx === currentMatchIndex ? "wfm-search-current" : "wfm-search-match";
|
||||
matchIdx++;
|
||||
return `<mark class="${cls}">${match}</mark>`;
|
||||
});
|
||||
searchOverlay.innerHTML = html + "\n";
|
||||
|
||||
// Scroll editor to current match
|
||||
const pos = matchPositions[currentMatchIndex];
|
||||
editor.focus();
|
||||
editor.setSelectionRange(pos, pos + term.length);
|
||||
const lineNum = (text.slice(0, pos).match(/\n/g) || []).length;
|
||||
const lineH = parseFloat(getComputedStyle(editor).lineHeight) || 18;
|
||||
editor.scrollTop = Math.max(0, lineH * lineNum - editor.clientHeight / 2);
|
||||
searchOverlay.scrollTop = editor.scrollTop;
|
||||
searchOverlay.scrollLeft = editor.scrollLeft;
|
||||
if (highlight) highlight.scrollTop = editor.scrollTop;
|
||||
}
|
||||
|
||||
if (editor && highlight) {
|
||||
editor.addEventListener("input", () => {
|
||||
syncJsonHighlight(highlight, editor.value);
|
||||
if (searchInput?.value) updateSearchOverlay();
|
||||
});
|
||||
editor.addEventListener("scroll", () => {
|
||||
syncScroll(editor, highlight);
|
||||
if (searchOverlay) {
|
||||
searchOverlay.scrollTop = editor.scrollTop;
|
||||
searchOverlay.scrollLeft = editor.scrollLeft;
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
searchInput?.addEventListener("input", () => { currentMatchIndex = 0; updateSearchOverlay(); });
|
||||
|
||||
searchNext?.addEventListener("click", () => {
|
||||
if (!matchPositions.length) return;
|
||||
currentMatchIndex = (currentMatchIndex + 1) % matchPositions.length;
|
||||
updateSearchOverlay();
|
||||
});
|
||||
|
||||
searchPrev?.addEventListener("click", () => {
|
||||
if (!matchPositions.length) return;
|
||||
currentMatchIndex = (currentMatchIndex - 1 + matchPositions.length) % matchPositions.length;
|
||||
updateSearchOverlay();
|
||||
});
|
||||
|
||||
function clearSearch() {
|
||||
if (searchInput) searchInput.value = "";
|
||||
currentMatchIndex = 0;
|
||||
matchPositions = [];
|
||||
if (searchOverlay) searchOverlay.innerHTML = "";
|
||||
if (searchCount) { searchCount.textContent = ""; searchCount.style.color = ""; }
|
||||
}
|
||||
|
||||
searchClear?.addEventListener("click", clearSearch);
|
||||
|
||||
searchInput?.addEventListener("keydown", (e) => {
|
||||
if (e.key === "Enter") {
|
||||
if (!matchPositions.length) return;
|
||||
currentMatchIndex = e.shiftKey
|
||||
? (currentMatchIndex - 1 + matchPositions.length) % matchPositions.length
|
||||
: (currentMatchIndex + 1) % matchPositions.length;
|
||||
updateSearchOverlay();
|
||||
e.preventDefault();
|
||||
} else if (e.key === "Escape") {
|
||||
clearSearch();
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// Check for workflow loaded from Workflow tab (via sessionStorage)
|
||||
@@ -487,11 +865,15 @@ export async function initGenerateTab() {
|
||||
// Checkpoint batch UI
|
||||
initCheckpointBatch();
|
||||
|
||||
// Feeder tab
|
||||
await initFeederTab();
|
||||
|
||||
// Auto-connect on init
|
||||
const connected = await comfyUI.checkConnection();
|
||||
updateStatus(connected);
|
||||
if (connected) {
|
||||
await comfyEditor.loadModelLists();
|
||||
_updateDropdownLabel();
|
||||
_updateBatchInfo();
|
||||
}
|
||||
|
||||
|
||||
+174
-24
@@ -340,14 +340,26 @@ const LANGUAGES = {
|
||||
helpWf7: "Badge management: add, rename, delete badges with custom colors shared with the Models tab (⚙ Badge button)",
|
||||
helpGen1: "Connect/disconnect ComfyUI and check connection status",
|
||||
helpGen2: "Load workflows from Workflow tab (App format .app.json not supported)",
|
||||
helpGen3: "3-tab layout — Input (Prompt + Image), Model, Settings — each with a Raw JSON column for instant preview and direct editing",
|
||||
helpGen3: "4-tab layout — Input (Prompt + Image), Model, Settings, Feeder — Input/Model/Settings each include a Raw JSON column for instant preview and direct editing",
|
||||
helpGen4: "Input tab: Prompt (top) and Image drag-and-drop (bottom) in the left column",
|
||||
helpGen5: "Model tab: Checkpoint, VAE, LoRA, ControlNet, UNET, TextEncoder selectors with filter",
|
||||
helpGen6: "Settings tab: KSampler (top) and LatentImage (bottom) in the left column",
|
||||
helpGen6: "Settings tab: KSampler and Latent Image side by side, each at 50% width",
|
||||
helpGen7: "Raw JSON always visible in the right column of each tab — edit directly and Apply to reload the workflow",
|
||||
helpGen8: "Seed control: random, fixed, increment, decrement",
|
||||
helpGen9: "Generate, progress display, stop, and view results",
|
||||
helpGen10: "Eagle integration: auto-save generated images to Eagle",
|
||||
helpGen11: "Checkpoint Batch: select checkpoints by folder from the dropdown — check a folder to select all its files, or expand with ▶ to check individual files; use Filter to search; Pause/Resume suspends and continues between models; Stop aborts after the current generation",
|
||||
helpFeederTitle: "GenerateUI Tab — Feeder subtab",
|
||||
helpFeederDesc: "Requires the comfyui-image-feeder custom node. Controls ImageFeeder nodes and runs continuous generation loops over an image library stored in user/default/image-loop-data/.",
|
||||
helpFeeder1: "Left pane — Node settings: select the target ImageFeeder node from the dropdown; edit all node parameters (Directory, Sort Mode, Index, Start/End Index, Batch Size, Seed, Use Selection); click Apply to write changes to the loaded workflow",
|
||||
helpFeeder2: "Left pane — Presets: save the current directory + selection as a named preset; load or delete saved presets",
|
||||
helpFeeder3: "Left pane — Run: After gen mode determines index behavior after each generation — Loop (wrap back to 0 and continue indefinitely), Increment (advance index and stop when all images are exhausted), Fixed (always use the same index); click Run to start the loop, Stop to interrupt",
|
||||
helpFeeder4: "Center pane — Folder tree: browse subfolders inside image-loop-data; click a folder to load its images; click ↺ to reload the tree",
|
||||
helpFeeder5: "Center pane — Image grid: displays thumbnails of all images in the selected folder; check individual images to add them to the selection; All / None buttons select or clear the entire folder; click an image to open the preview panel",
|
||||
helpFeeder6: "Center pane — Preview panel: shows the clicked image at larger size with filename, resolution, and file size",
|
||||
helpFeeder7: "Status bar: shows the current folder path and how many images are selected out of the total in the folder",
|
||||
helpFeeder8: "Seed during Run: uses the right-pane seed setting (Random / Fixed / Increment / Decrement) — the ImageFeeder's own Seed field controls random sort order only",
|
||||
helpFeeder9: "Index sync: after each generation the node returns the next index via WebSocket; the Index field updates automatically so the display stays in sync",
|
||||
helpPrompt1: "AI assistant (Ollama): model selection, chat for prompt consultation, image attachment (vision models)",
|
||||
helpPrompt2: "Apply AI responses to GenerateUI prompts",
|
||||
helpPrompt3: "Translation: JA\u2194EN, ZH\u2194EN",
|
||||
@@ -355,6 +367,8 @@ const LANGUAGES = {
|
||||
helpPrompt5: "Preset Manager: browse all presets, favorites, and group-based filtering",
|
||||
helpPrompt6: "Group management: create groups, assign/remove presets, delete groups",
|
||||
helpPrompt7: "GenUI Set: apply preset prompts directly to GenerateUI",
|
||||
helpPrompt8: "Wildcard toolbar: one-click buttons to insert wildcard syntax ({|}, {n$|}, __|__, <lora:>, etc.); wraps selected text",
|
||||
helpPrompt9: "Wildcard file manager: create/edit/delete .txt/.yaml wildcard files; click filename to insert __filename__ at cursor",
|
||||
helpSettings1: "UI language and summary language",
|
||||
helpSettings2: "Theme selection (13 presets) with customization: color overrides, background patterns (stripes, polka dot, checkerboard, SVG tiling), and font selection (16 Google Fonts including Japanese display fonts)",
|
||||
helpSettings3: "Workflow data folder path",
|
||||
@@ -364,6 +378,7 @@ const LANGUAGES = {
|
||||
helpSettings7: "Eagle integration URL and auto-save toggle",
|
||||
helpSettings8: "Data Management: export all plugin data (settings, metadata, prompts, etc.) to a JSON file, or import to restore. After importing, restart ComfyUI.",
|
||||
helpSettings9: "All sections are collapsible accordion panels",
|
||||
helpSettings10: "Wildcard Integration: link WFS wildcard dir to ComfyUI-Impact-Pack wildcards (directory junction on Windows / symlink on other OS); existing files migrated automatically",
|
||||
helpNodes1: "Node Browser: search by name/description/alias/tag, filter by category, package, tag, group, favorites",
|
||||
helpNodes2: "Card and Table view modes with pagination",
|
||||
helpNodes3: "Favorite nodes and add custom tags for organization",
|
||||
@@ -386,12 +401,13 @@ const LANGUAGES = {
|
||||
helpGallery2: "3-column layout: folder tree (left) | image grid (center) | detail panel (right)",
|
||||
helpGallery3: "Thumbnail and Table view modes; double-click any image to open fullscreen lightbox",
|
||||
helpGallery4: "Toolbar filters: favorites (★), text search, tag filter, group filter, sort by date/name",
|
||||
helpGallery5: "Multi-select with Ctrl+click — bulk operations: Add to Group, Favorite All, Unfavorite All",
|
||||
helpGallery6: "Detail panel — Info tab: filename, size, date, tags (add/remove), memo with save",
|
||||
helpGallery7: "Detail panel — Metadata tab: embedded ComfyUI workflow JSON viewer with one-click clipboard copy",
|
||||
helpGallery8: "Detail panel — Groups tab: create, assign, remove, rename, and delete groups per image",
|
||||
helpGallery9: "Supports PNG (tEXt/iTXt metadata), JPEG, WebP, GIF; PNG workflow extraction reads ComfyUI-embedded JSON",
|
||||
helpGallery10: "Folder tree: click a folder to load its images; expand subfolders with ▶ arrow",
|
||||
helpGallery5: "Folder tree: click to load images, expand with ▶; '+ New' creates a subfolder inside the selected folder, 'Del' deletes it with all contents",
|
||||
helpGallery6: "Multi-select with Ctrl+click — bulk operations: Add to Group, Favorite All, Unfavorite All, Move To..., Delete",
|
||||
helpGallery7: "Detail panel — Info tab: filename, size, date, tags (add/remove), memo; 'Move To...' moves the image to another folder, 'Delete' removes it permanently",
|
||||
helpGallery8: "Detail panel — Metadata tab: displays workflow JSON from PNG embedded data (prompt / workflow keys) or from metadata saved by the Generate UI tab; one-click clipboard copy",
|
||||
helpGallery9: "Detail panel — Groups tab: create, assign, remove, rename, and delete groups per image",
|
||||
helpGallery10: "Workflow auto-save: images generated in the Generate UI tab automatically have their workflow saved to gallery metadata and shown in the Metadata tab",
|
||||
helpGallery11: "Supports PNG (tEXt/iTXt), JPEG, WebP, GIF; workflow extraction reads ComfyUI prompt and workflow keys embedded in PNG metadata",
|
||||
helpSidepanelTitle: "Workflow Studio Library (ComfyUI Side Panel)",
|
||||
helpSidepanel1: "Open from the Workflow Studio Library button in the ComfyUI toolbar",
|
||||
helpSidepanel2: "Workflows tab: All / ★ Favorites / Groups sub-tabs; ★ shown for favorites in All view",
|
||||
@@ -405,6 +421,9 @@ const LANGUAGES = {
|
||||
helpSidepanel10: "Search within each sub-tab to quickly find items",
|
||||
helpSidepanel11: "Models tab: All / ★ Favorites / Groups / By Type sub-tabs",
|
||||
helpSidepanel12: "⚙ Theme button (header): customize panel background, sub-header background, text, border, and secondary text colors — changes are saved to localStorage and applied on next open",
|
||||
helpSidepanel13: "I tab (Information): drop a ComfyUI PNG/WebP/JSON to inspect model, LoRA, and prompt metadata in the side panel — sub-tabs: model / lora / Prompts; supports UnetLoaderGGUF and QuadrupleCLIPLoader node types",
|
||||
helpSidepanel14: "Information tab — drag items to canvas: model sub-tab places the loader node (Checkpoint → CheckpointLoaderSimple, VAE → VAELoader, Diffusion Model → UNETLoader, Text Encoder → CLIPLoader); double-click also places at canvas center",
|
||||
helpSidepanel15: "Information tab — LoRA sub-tab: drag individual LoRA to place LoraLoader; \"Multiple LORA\" section at bottom places all LoRAs in a single Lora Loader (LoraManager) node; Prompts sub-tab: drag a prompt to place CLIPTextEncode node with text pre-filled; click prompt to view full text and copy",
|
||||
helpShortcutsTitle: "Keyboard Shortcuts",
|
||||
helpShortcuts1: "Escape: Close modal/panel",
|
||||
helpShortcuts2: "Enter: Confirm rename, send chat",
|
||||
@@ -525,6 +544,37 @@ const LANGUAGES = {
|
||||
themeFontTrainOne: "Train One",
|
||||
themeFontSpaceMono: "Space Mono",
|
||||
themeFontFiraCode: "Fira Code",
|
||||
|
||||
// -- Metadata tab --
|
||||
tabMetadata: "Metadata",
|
||||
metaSectionCkpt: "Checkpoint",
|
||||
metaSectionVae: "VAE",
|
||||
metaSectionDiff: "Diffusion Model",
|
||||
metaSectionTe: "Text Encoder",
|
||||
metaSectionLora: "LoRA",
|
||||
metaSectionPrompt: "Prompt",
|
||||
metaDropMain: "Drop image / JSON",
|
||||
metaDropSub: "PNG · WebP · JSON",
|
||||
metaParsing: "Parsing...",
|
||||
metaFileTooLarge: "File too large (max 50 MB)",
|
||||
metaNoMetadata: "No metadata found",
|
||||
metaParseError: "Failed to parse metadata",
|
||||
metaPromptPositive: "Positive",
|
||||
metaPromptNegative: "Negative",
|
||||
metaPromptText: "Text",
|
||||
metaSelectPrompt: "Select a prompt above to view full text...",
|
||||
metaFormatNoteTitle: "Supported formats",
|
||||
metaFmtComfyui: "ComfyUI — PNG / WebP / JSON",
|
||||
metaFmtSdwebui: "SD WebUI / SD Forge — PNG (parameters)",
|
||||
metaFmtFooocus: "Fooocus — PNG (fooocus_scheme)",
|
||||
metaFormatTodo: "Flux.2 / Qwen-Image / Z-Image subgraph workflows supported",
|
||||
helpMetadataTitle: "Metadata Tab",
|
||||
helpMetadataDesc: "Drop a ComfyUI-generated PNG/WebP or workflow JSON to instantly extract and view the embedded model and prompt information.",
|
||||
helpMetadata1: "Left column: drop zone (image preview for PNG/WebP) and file info; click or drop to load",
|
||||
helpMetadata2: "Center column: Checkpoint, VAE, Diffusion Model, and Text Encoder lists extracted from the workflow",
|
||||
helpMetadata3: "Right column: LoRA list (with strength values) and Prompt list (click to view full text below)",
|
||||
helpMetadata4: "Prompt actions — Copy: copy to clipboard; GenUI:P/N: set GenerateUI positive/negative prompt; Prompt:P/N: set Prompt tab preset positive/negative",
|
||||
helpMetadata5: "Supported: ComfyUI PNG/WebP/JSON (standard + Flux.2 / Qwen-Image / Z-Image subgraph workflows), SD WebUI, SD Forge, Fooocus.",
|
||||
},
|
||||
|
||||
ja: {
|
||||
@@ -863,14 +913,26 @@ const LANGUAGES = {
|
||||
helpWf7: "バッジ管理：バッジの追加・名前変更・削除、カスタム色設定（Modelsタブと共有）— ⚙ Badgeボタン",
|
||||
helpGen1: "ComfyUIの接続・切断、接続状態の確認",
|
||||
helpGen2: "Workflowタブからワークフローを読み込み（App形式 .app.json は非対応）",
|
||||
helpGen3: "3タブ構成 — Input（プロンプト＋画像）、Model、Settings — 各タブにRaw JSON列を常時表示",
|
||||
helpGen3: "4タブ構成 — Input（プロンプト＋画像）、Model、Settings、Feeder — Input/Model/SettingsタブにはRaw JSON列を常時表示",
|
||||
helpGen4: "Inputタブ：左列にPrompt（上段）＋ Image ドラッグ＆ドロップ（下段）",
|
||||
helpGen5: "Modelタブ：Checkpoint/VAE/LoRA/ControlNet/UNET/TextEncoderのセレクタ（フィルタ検索付き）",
|
||||
helpGen6: "Settingsタブ：左列にKSampler（上段）＋ LatentImage（下段）",
|
||||
helpGen6: "Settingsタブ：KSamplerとLatent Imageを横並び（各50%幅）",
|
||||
helpGen7: "Raw JSONを各タブの右列に常時表示 — 直接編集してApplyでワークフロー即時反映",
|
||||
helpGen8: "シード管理：ランダム / 固定 / 増加 / 減少",
|
||||
helpGen9: "画像生成、進捗表示、生成停止、結果表示",
|
||||
helpGen10: "Eagle連携：生成画像をEagleへ自動保存",
|
||||
helpGen11: "Checkpoint Batch：ドロップダウンのフォルダツリーからチェックポイントを選択 — フォルダにチェックでそのフォルダ内を一括選択、▶で展開して個別選択も可能；Filterで絞り込み；Pause/Resumeでモデル間の処理を一時停止・再開；Stopで現在の生成完了後に中断",
|
||||
helpFeederTitle: "GenerateUI Tab — Feeder サブタブ",
|
||||
helpFeederDesc: "comfyui-image-feeder カスタムノードが必要です。ImageFeeder ノードを操作し、user/default/image-loop-data/ に保存された画像ライブラリを使って連続生成ループを実行します。",
|
||||
helpFeeder1: "左ペイン — ノード設定：ドロップダウンで対象 ImageFeeder ノードを選択；Directory・Sort Mode・Index・Start/End Index・Batch Size・Seed・Use Selection の各パラメータを編集；Apply で読み込み済みワークフローに反映",
|
||||
helpFeeder2: "左ペイン — プリセット：現在のフォルダ＋選択ファイルを名前付きプリセットとして保存；保存済みプリセットの読み込み・削除",
|
||||
helpFeeder3: "左ペイン — Run：After gen モードで各生成後の index 動作を設定 — Loop（index を 0 に折り返して無限継続）、Increment（index を進め全画像消化で自動停止）、Fixed（常に同じ index を使用）；Run ボタンでループ開始、Stop で中断",
|
||||
helpFeeder4: "中央ペイン — フォルダツリー：image-loop-data 内のサブフォルダを階層表示；クリックで画像を読み込み；↺ ボタンでツリー再読み込み",
|
||||
helpFeeder5: "中央ペイン — 画像グリッド：選択フォルダ内の画像をサムネイル表示；チェックボックスで選択に追加；All/None ボタンで一括選択・解除；クリックでプレビューパネルに表示",
|
||||
helpFeeder6: "中央ペイン — プレビューパネル：クリックした画像を拡大表示し、ファイル名・解像度・ファイルサイズを確認",
|
||||
helpFeeder7: "ステータスバー：現在のフォルダパスと、そのフォルダ内の総枚数に対する選択枚数を表示",
|
||||
helpFeeder8: "Run 時のシード：右ペインのシード設定（ランダム / 固定 / 増加 / 減少）を使用 — ImageFeeder 自身の Seed フィールドはランダムソートの並び順のみに影響",
|
||||
helpFeeder9: "Index 同期：生成完了後にノードが次の index を WebSocket で返送；Index フィールドが自動更新されて表示と実行状態が一致",
|
||||
helpPrompt1: "AIアシスタント（Ollama）：モデル選択、チャットでプロンプト相談、画像添付（ビジョンモデル対応）",
|
||||
helpPrompt2: "AIの応答をGenerateUIのプロンプトに適用",
|
||||
helpPrompt3: "翻訳機能：日⇔英、中⇔英",
|
||||
@@ -878,6 +940,8 @@ const LANGUAGES = {
|
||||
helpPrompt5: "プリセットマネージャー：全プリセット一覧、お気に入り、グループ別フィルタリング",
|
||||
helpPrompt6: "グループ管理：グループ作成、プリセットの割り当て・解除、グループ削除",
|
||||
helpPrompt7: "GenUI Set：プリセットのプロンプトをGenerateUIに直接適用",
|
||||
helpPrompt8: "ワイルドカードツールバー：{|}・{n$|}・__|__・<lora:>などの構文をワンクリック挿入。選択テキストのラップも対応",
|
||||
helpPrompt9: "ワイルドカードファイルマネージャー：.txt/.yamlファイルの作成・編集・削除。ファイル名をクリックすると__ファイル名__をカーソル位置に挿入",
|
||||
helpSettings1: "UI言語と要約言語の設定",
|
||||
helpSettings2: "テーマ選択（13種プリセット）＋カスタマイズ：カラー調整、背景パターン（ストライプ、ポルカドット、チェック、SVGタイリング）、フォント選択（日本語デザインフォント含む16種のGoogle Fonts）",
|
||||
helpSettings3: "ワークフローデータフォルダのパス変更・リセット",
|
||||
@@ -887,6 +951,7 @@ const LANGUAGES = {
|
||||
helpSettings7: "Eagle連携URL、自動保存の有効/無効",
|
||||
helpSettings8: "データ管理：設定・メタデータ・プロンプトなど全データをJSONにエクスポート、またはインポートして復元。インポート後はComfyUIを再起動してください。",
|
||||
helpSettings9: "各セクションはアコーディオン式で折りたたみ可能",
|
||||
helpSettings10: "Wildcard Integration：WFSのワイルドカードディレクトリをComfyUI-Impact-Packのwildcardsディレクトリへリンク（Windowsはジャンクション、他OSはシンボリックリンク）。既存ファイルは自動で移行されます",
|
||||
helpNodes1: "ノードブラウザ：名前/説明/エイリアス/タグで検索、カテゴリ・パッケージ・タグ・グループ・お気に入りフィルタ",
|
||||
helpNodes2: "カード / テーブル表示モード切り替え（ページネーション付き）",
|
||||
helpNodes3: "ノードのお気に入り登録、カスタムタグの追加で整理",
|
||||
@@ -909,12 +974,13 @@ const LANGUAGES = {
|
||||
helpGallery2: "3カラムレイアウト: フォルダツリー (左) | 画像グリッド (中央) | 詳細パネル (右)",
|
||||
helpGallery3: "サムネイル・テーブル表示モード切替；ダブルクリックで全画面ライトボックス表示",
|
||||
helpGallery4: "ツールバーフィルタ：お気に入り(★)、テキスト検索、タグフィルタ、グループフィルタ、日付・名前ソート",
|
||||
helpGallery5: "Ctrl+クリックで複数選択 — 一括操作：グループへ追加、一括お気に入り、一括お気に入り解除",
|
||||
helpGallery6: "詳細パネル — Infoタブ：ファイル名、サイズ、日付、タグ（追加/削除）、メモ（保存機能付き）",
|
||||
helpGallery7: "詳細パネル — Metadataタブ：埋め込みComfyUIワークフローJSONビューアとワンクリッククリップボードコピー",
|
||||
helpGallery8: "詳細パネル — Groupsタブ：画像ごとのグループ作成、割り当て、解除、名前変更、削除",
|
||||
helpGallery9: "PNG (tEXt/iTXt メタデータ), JPEG, WebP, GIF対応； PNGはComfyUIの埋め込みJSONを読み込んでワークフロー抽出可能",
|
||||
helpGallery10: "フォルダツリー：フォルダをクリックして画像を読み込む；▶矢印でサブフォルダを展開",
|
||||
helpGallery5: "フォルダツリー：クリックで画像を読み込み；▶で展開；「+ New」で選択フォルダ内にサブフォルダを作成；「Del」でそのフォルダとすべての内容を削除",
|
||||
helpGallery6: "Ctrl+クリックで複数選択 — 一括操作：グループへ追加、一括お気に入り、一括お気に入り解除、移動（Move To...）、削除",
|
||||
helpGallery7: "詳細パネル — Infoタブ：ファイル名、サイズ、日付、タグ（追加/削除）、メモ；「Move To...」で他フォルダへ移動；「Delete」で完全削除",
|
||||
helpGallery8: "詳細パネル — Metadataタブ：PNGの埋め込みデータ（prompt / workflow キー）またはGenerateUIタブで保存したメタデータからワークフローJSONを表示；ワンクリックでクリップボードコピー",
|
||||
helpGallery9: "詳細パネル — Groupsタブ：画像ごとのグループ作成、割り当て、解除、名前変更、削除",
|
||||
helpGallery10: "ワークフロー自動保存：GenerateUIタブで生成した画像はワークフローが自動でギャラリーメタデータに保存され、Metadataタブで確認可能",
|
||||
helpGallery11: "PNG (tEXt/iTXt)、JPEG、WebP、GIF対応；PNG形式はComfyUIの埋め込みJSON（prompt / workflow キー）を読み込んでワークフロー抽出が可能",
|
||||
helpSidepanelTitle: "Workflow Studio Library（ComfyUIサイドパネル）",
|
||||
helpSidepanel1: "ComfyUIツールバーのWorkflow Studio Libraryボタンから開く",
|
||||
helpSidepanel2: "Workflowsタブ：All / ★ Favorites / Groupsサブタブ、Allビューでお気に入りに★表示",
|
||||
@@ -928,6 +994,9 @@ const LANGUAGES = {
|
||||
helpSidepanel10: "各サブタブ内で検索してアイテムをすばやく検索",
|
||||
helpSidepanel11: "Modelsタブ：All / ★ Favorites / Groups / By Typeサブタブ",
|
||||
helpSidepanel12: "⚙ テーマボタン（ヘッダー）：パネル背景・サブヘッダー背景・文字色・ボーダー・補助テキスト色をカスタマイズ可能、設定はlocalStorageに保存され次回起動時も反映",
|
||||
helpSidepanel13: "I タブ（Information）：ComfyUI の PNG / WebP / JSON をドロップするとサイドパネル内でモデル・LoRA・プロンプトのメタデータを確認可能 — サブタブ: model / lora / Prompts；UnetLoaderGGUF・QuadrupleCLIPLoader ノードタイプに対応",
|
||||
helpSidepanel14: "Information タブ — キャンバスへドラッグ：model サブタブのアイテムをドラッグすると対応ローダーノードを配置（Checkpoint → CheckpointLoaderSimple、VAE → VAELoader、Diffusion Model → UNETLoader、Text Encoder → CLIPLoader）；ダブルクリックでもキャンバス中央に配置可能",
|
||||
helpSidepanel15: "Information タブ — lora サブタブ：個別 LoRA をドラッグで LoraLoader を配置；下部の「Multiple LORA」セクションをドラッグすると全 LoRA を一括で Lora Loader (LoraManager) に配置；Prompts サブタブ：プロンプトをドラッグするとテキスト入力済みの CLIPTextEncode ノードを配置；クリックで全文表示・コピー可能",
|
||||
helpShortcutsTitle: "キーボード操作",
|
||||
helpShortcuts1: "Escape：モーダル・パネルを閉じる",
|
||||
helpShortcuts2: "Enter：名前変更の確定、チャット送信",
|
||||
@@ -1048,6 +1117,37 @@ const LANGUAGES = {
|
||||
themeFontTrainOne: "トレイン One",
|
||||
themeFontSpaceMono: "Space Mono",
|
||||
themeFontFiraCode: "Fira Code",
|
||||
|
||||
// -- Metadata tab --
|
||||
tabMetadata: "メタデータ",
|
||||
metaSectionCkpt: "Checkpoint",
|
||||
metaSectionVae: "VAE",
|
||||
metaSectionDiff: "Diffusion Model",
|
||||
metaSectionTe: "Text Encoder",
|
||||
metaSectionLora: "LoRA",
|
||||
metaSectionPrompt: "プロンプト",
|
||||
metaDropMain: "画像 / JSON をドロップ",
|
||||
metaDropSub: "PNG · WebP · JSON",
|
||||
metaParsing: "解析中...",
|
||||
metaFileTooLarge: "ファイルが大きすぎます（最大 50 MB）",
|
||||
metaNoMetadata: "メタデータが見つかりません",
|
||||
metaParseError: "メタデータの解析に失敗しました",
|
||||
metaPromptPositive: "ポジティブ",
|
||||
metaPromptNegative: "ネガティブ",
|
||||
metaPromptText: "テキスト",
|
||||
metaSelectPrompt: "上のプロンプトを選択すると全文を表示します...",
|
||||
metaFormatNoteTitle: "対応フォーマット",
|
||||
metaFmtComfyui: "ComfyUI — PNG / WebP / JSON",
|
||||
metaFmtSdwebui: "SD WebUI / SD Forge — PNG（parameters チャンク）",
|
||||
metaFmtFooocus: "Fooocus — PNG（fooocus_scheme チャンク）",
|
||||
metaFormatTodo: "Flux.2 / Qwen-Image / Z-Image サブグラフ形式に対応済み",
|
||||
helpMetadataTitle: "Metadata タブ",
|
||||
helpMetadataDesc: "ComfyUI で生成した PNG / WebP または ワークフロー JSON をドロップすると、埋め込まれたモデル・プロンプト情報を即座に抽出・表示します。",
|
||||
helpMetadata1: "左列: ドロップゾーン（PNG/WebP は画像プレビュー表示）＋ファイル情報・対応フォーマット説明",
|
||||
helpMetadata2: "中列: ワークフローから抽出した Checkpoint・VAE・Diffusion Model・Text Encoder の一覧",
|
||||
helpMetadata3: "右列: LoRA 一覧（強度値付き）＋プロンプト一覧（クリックで下部に全文表示）",
|
||||
helpMetadata4: "プロンプトアクション — Copy: クリップボードにコピー; GenUI:P/N: GenerateUI のポジティブ/ネガティブプロンプトにセット; Prompt:P/N: Prompt タブ Presets のポジティブ/ネガティブにセット",
|
||||
helpMetadata5: "対応フォーマット: ComfyUI PNG/WebP/JSON（標準形式 ＋ Flux.2 / Qwen-Image / Z-Image サブグラフ形式）・SD WebUI・SD Forge・Fooocus。",
|
||||
},
|
||||
|
||||
zh: {
|
||||
@@ -1382,14 +1482,26 @@ const LANGUAGES = {
|
||||
helpWf7: "徽章管理：添加、重命名、删除徽章并自定义颜色（与Models标签共享）— ⚙ Badge按钮",
|
||||
helpGen1: "连接/断开ComfyUI，检查连接状态",
|
||||
helpGen2: "从工作流标签页加载工作流（不支持App格式.app.json）",
|
||||
helpGen3: "3标签布局 — Input（提示词+图片）、Model、Settings — 每个标签含Raw JSON列实时预览",
|
||||
helpGen3: "4标签布局 — Input（提示词+图片）、Model、Settings、Feeder — Input/Model/Settings标签各含Raw JSON列实时预览",
|
||||
helpGen4: "Input标签：左列为Prompt（上）+ Image拖放（下）",
|
||||
helpGen5: "Model标签：Checkpoint/VAE/LoRA/ControlNet/UNET/TextEncoder选择器（含筛选）",
|
||||
helpGen6: "Settings标签：左列为KSampler（上）+ LatentImage（下）",
|
||||
helpGen6: "Settings标签：KSampler与Latent Image并排显示（各占50%宽度）",
|
||||
helpGen7: "Raw JSON在每个标签右列常驻显示 — 直接编辑并Apply即时重载工作流",
|
||||
helpGen8: "种子管理：随机/固定/递增/递减",
|
||||
helpGen9: "生成图片、进度显示、停止生成、查看结果",
|
||||
helpGen10: "Eagle集成：自动保存生成图片到Eagle",
|
||||
helpGen11: "Checkpoint Batch：从下拉框文件夹树中选择检查点 — 勾选文件夹可一键选中该文件夹内的所有文件，▶展开后也可单独选择；使用Filter筛选；Pause/Resume可在模型之间暂停和继续；Stop在当前生成完成后中止",
|
||||
helpFeederTitle: "GenerateUI Tab — Feeder 子标签",
|
||||
helpFeederDesc: "需要 comfyui-image-feeder 自定义节点。用于操控 ImageFeeder 节点，并对存储在 user/default/image-loop-data/ 中的图片库执行连续生成循环。",
|
||||
helpFeeder1: "左侧面板 — 节点设置：从下拉框选择目标 ImageFeeder 节点；编辑所有节点参数（Directory、Sort Mode、Index、Start/End Index、Batch Size、Seed、Use Selection）；点击 Apply 将更改写入当前工作流",
|
||||
helpFeeder2: "左侧面板 — 预设：将当前目录+选择文件保存为命名预设；加载或删除已保存的预设",
|
||||
helpFeeder3: "左侧面板 — Run：After gen 模式决定每次生成后的 index 行为 — Loop（回到0并无限循环）、Increment（递增 index，全部图片用完后自动停止）、Fixed（始终使用相同 index）；点击 Run 开始循环，Stop 中断",
|
||||
helpFeeder4: "中央面板 — 文件夹树：浏览 image-loop-data 内的子文件夹；点击文件夹加载图片；点击 ↺ 重新加载目录树",
|
||||
helpFeeder5: "中央面板 — 图片网格：缩略图显示所选文件夹内的所有图片；勾选图片加入选择集；All/None 按钮一键全选或清除；点击图片打开预览面板",
|
||||
helpFeeder6: "中央面板 — 预览面板：放大显示点击的图片，并显示文件名、分辨率和文件大小",
|
||||
helpFeeder7: "状态栏：显示当前文件夹路径，以及该文件夹内已选中图片数占总数的比例",
|
||||
helpFeeder8: "Run 时的种子：使用右侧面板的种子设置（随机/固定/递增/递减）— ImageFeeder 自身的 Seed 字段仅影响随机排序的顺序",
|
||||
helpFeeder9: "Index 同步：每次生成完成后节点通过 WebSocket 返回下一个 index；Index 字段自动更新，保持显示与执行状态一致",
|
||||
helpPrompt1: "AI助手（Ollama）：模型选择、聊天咨询提示词、图片附件（视觉模型）",
|
||||
helpPrompt2: "将AI回复应用到生成UI的提示词",
|
||||
helpPrompt3: "翻译功能：日\u2194英、中\u2194英",
|
||||
@@ -1397,6 +1509,8 @@ const LANGUAGES = {
|
||||
helpPrompt5: "预设管理器：浏览所有预设、收藏、按组筛选",
|
||||
helpPrompt6: "组管理：创建组、分配/移除预设、删除组",
|
||||
helpPrompt7: "GenUI Set：将预设提示词直接应用到生成UI",
|
||||
helpPrompt8: "通配符工具栏：一键插入通配符语法（{|}、{n$|}、__|__、<lora:>等）；支持包裹选中文本",
|
||||
helpPrompt9: "通配符文件管理：创建/编辑/删除.txt/.yaml通配符文件；点击文件名在光标处插入__文件名__",
|
||||
helpSettings1: "UI语言和摘要语言设置",
|
||||
helpSettings2: "主题选择（13种预设）+ 自定义：颜色调整、背景图案（条纹、波点、棋盘格、SVG平铺）、字体选择（含日文显示字体在内的16种Google Fonts）",
|
||||
helpSettings3: "工作流数据文件夹路径更改/重置",
|
||||
@@ -1406,6 +1520,7 @@ const LANGUAGES = {
|
||||
helpSettings7: "Eagle集成URL、自动保存开关",
|
||||
helpSettings8: "数据管理：将所有插件数据（设置、元数据、提示词等）导出为JSON文件，或导入以恢复。导入后请重启ComfyUI。",
|
||||
helpSettings9: "各部分可折叠展开",
|
||||
helpSettings10: "Wildcard Integration：将WFS通配符目录链接到ComfyUI-Impact-Pack的wildcards目录（Windows为目录联结，其他OS为符号链接）；现有文件自动迁移",
|
||||
helpNodes1: "节点浏览器：按名称/描述/别名/标签搜索，按分类、包、标签、组、收藏筛选",
|
||||
helpNodes2: "卡片和表格视图模式切换（带分页）",
|
||||
helpNodes3: "收藏节点，添加自定义标签进行整理",
|
||||
@@ -1428,12 +1543,13 @@ const LANGUAGES = {
|
||||
helpGallery2: "三列布局：文件夹树（左） | 图像网格（中） | 详情面板（右）",
|
||||
helpGallery3: "缩略图和表格视图模式；双击任何图像可在全屏灯箱中打开",
|
||||
helpGallery4: "工具栏过滤器：收藏 (★)、文本搜索、标签过滤、分组过滤、按日期/名称排序",
|
||||
helpGallery5: "使用 Ctrl+点击 多选 — 批量操作：添加到分组、全部收藏、取消全部收藏",
|
||||
helpGallery6: "详情面板 — 信息(Info)标签：文件名、大小、日期、标签（添加/移除）、包含保存功能的备注",
|
||||
helpGallery7: "详情面板 — 元数据(Metadata)标签：ComfyUI 嵌入的内置工作流 JSON 查看器及一键复制功能",
|
||||
helpGallery8: "详情面板 — 分组(Groups)标签：对每个图像进行组的创建、分配、移除、重命名和删除",
|
||||
helpGallery9: "支持 PNG（tEXt/iTXt 元数据）、JPEG、WebP、GIF；对于 PNG 会读取 ComfyUI 内置的 JSON 提取工作流",
|
||||
helpGallery10: "文件夹树：点击文件夹加载其包含的图像；使用 ▶ 箭头展开子文件夹",
|
||||
helpGallery5: "文件夹树：点击加载图像，▶展开；'+ New'在选定文件夹内创建子文件夹；'Del'删除该文件夹及其所有内容",
|
||||
helpGallery6: "使用Ctrl+点击多选 — 批量操作：添加到分组、全部收藏、取消全部收藏、移动到...、删除",
|
||||
helpGallery7: "详情面板 — 信息(Info)标签：文件名、大小、日期、标签（添加/移除）、备注；'移动到...'将图像移至另一文件夹；'删除'永久删除",
|
||||
helpGallery8: "详情面板 — 元数据(Metadata)标签：显示来自PNG嵌入数据（prompt / workflow键）或Generate UI标签保存的工作流JSON；一键复制到剪贴板",
|
||||
helpGallery9: "详情面板 — 分组(Groups)标签：对每个图像进行组的创建、分配、移除、重命名和删除",
|
||||
helpGallery10: "工作流自动保存：在Generate UI标签生成的图像，其工作流会自动保存到图库元数据，并在Metadata标签中显示",
|
||||
helpGallery11: "支持PNG（tEXt/iTXt）、JPEG、WebP、GIF；PNG格式读取ComfyUI嵌入的JSON（prompt / workflow键）提取工作流",
|
||||
helpSidepanelTitle: "Workflow Studio Library（ComfyUI侧面板）",
|
||||
helpSidepanel1: "从ComfyUI工具栏的Workflow Studio Library按钮打开",
|
||||
helpSidepanel2: "Workflows标签：All / ★ Favorites / Groups子标签，All视图中收藏项显示★",
|
||||
@@ -1447,6 +1563,9 @@ const LANGUAGES = {
|
||||
helpSidepanel10: "在各子标签内搜索快速查找项目",
|
||||
helpSidepanel11: "Models标签：All / ★ Favorites / Groups / By Type子标签",
|
||||
helpSidepanel12: "⚙ 主题按钮（标题栏）：可自定义面板背景、子标题背景、文字颜色、边框及辅助文字颜色，设置保存至localStorage并在下次打开时生效",
|
||||
helpSidepanel13: "I 标签（Information）：拖放 ComfyUI PNG/WebP/JSON 即可在侧面板内查看模型、LoRA 和提示词元数据 — 子标签：model / lora / Prompts；支持 UnetLoaderGGUF 和 QuadrupleCLIPLoader 节点类型",
|
||||
helpSidepanel14: "Information 标签 — 拖拽到画布：model 子标签拖拽可放置对应加载节点（Checkpoint → CheckpointLoaderSimple、VAE → VAELoader、Diffusion Model → UNETLoader、Text Encoder → CLIPLoader）；双击也可放置到画布中央",
|
||||
helpSidepanel15: "Information 标签 — lora 子标签：拖拽单个 LoRA 放置 LoraLoader；底部「Multiple LORA」区域可将全部 LoRA 一次性放入 Lora Loader (LoraManager) 节点；Prompts 子标签：拖拽提示词放置预填文本的 CLIPTextEncode 节点；点击可查看全文并复制",
|
||||
helpShortcutsTitle: "键盘操作",
|
||||
helpShortcuts1: "Escape：关闭弹窗/面板",
|
||||
helpShortcuts2: "Enter：确认重命名、发送聊天",
|
||||
@@ -1567,6 +1686,37 @@ const LANGUAGES = {
|
||||
themeFontTrainOne: "Train One",
|
||||
themeFontSpaceMono: "Space Mono",
|
||||
themeFontFiraCode: "Fira Code",
|
||||
|
||||
// -- Metadata tab --
|
||||
tabMetadata: "元数据",
|
||||
metaSectionCkpt: "Checkpoint",
|
||||
metaSectionVae: "VAE",
|
||||
metaSectionDiff: "扩散模型",
|
||||
metaSectionTe: "文本编码器",
|
||||
metaSectionLora: "LoRA",
|
||||
metaSectionPrompt: "提示词",
|
||||
metaDropMain: "拖放图片 / JSON",
|
||||
metaDropSub: "PNG · WebP · JSON",
|
||||
metaParsing: "解析中...",
|
||||
metaFileTooLarge: "文件过大（最大 50 MB）",
|
||||
metaNoMetadata: "未找到元数据",
|
||||
metaParseError: "元数据解析失败",
|
||||
metaPromptPositive: "正向提示",
|
||||
metaPromptNegative: "负向提示",
|
||||
metaPromptText: "文本",
|
||||
metaSelectPrompt: "选择上方提示词以查看全文...",
|
||||
metaFormatNoteTitle: "支持格式",
|
||||
metaFmtComfyui: "ComfyUI — PNG / WebP / JSON",
|
||||
metaFmtSdwebui: "SD WebUI / SD Forge — PNG（parameters）",
|
||||
metaFmtFooocus: "Fooocus — PNG（fooocus_scheme）",
|
||||
metaFormatTodo: "已支持 Flux.2 / Qwen-Image / Z-Image 子图工作流",
|
||||
helpMetadataTitle: "Metadata 标签页",
|
||||
helpMetadataDesc: "拖放 ComfyUI 生成的 PNG/WebP 或工作流 JSON，即可提取并显示其中的模型和提示词信息。",
|
||||
helpMetadata1: "左列：拖放区（PNG/WebP 显示图片预览）及文件信息与支持格式说明",
|
||||
helpMetadata2: "中列：从工作流中提取的 Checkpoint、VAE、扩散模型、文本编码器列表",
|
||||
helpMetadata3: "右列：LoRA 列表（含强度值）和提示词列表（点击在下方显示全文）",
|
||||
helpMetadata4: "提示词操作 — Copy：复制到剪贴板；GenUI:P/N：设置 GenerateUI 正/负向提示；Prompt:P/N：设置 Prompt 标签页预设正/负向提示",
|
||||
helpMetadata5: "支持格式：ComfyUI PNG/WebP/JSON（标准格式 + Flux.2 / Qwen-Image / Z-Image 子图工作流）、SD WebUI、SD Forge、Fooocus。",
|
||||
},
|
||||
};
|
||||
|
||||
|
||||
@@ -0,0 +1,752 @@
|
||||
/**
|
||||
* Metadata Tab
|
||||
* Drop a PNG/WebP/JSON file to extract and display model/prompt metadata.
|
||||
* Parsing logic adapted from model-and-prompt-from-metadata (workflow_utils.js).
|
||||
*/
|
||||
|
||||
import { t } from "./i18n.js";
|
||||
|
||||
// ── File size limit ───────────────────────────────────────────
|
||||
const MAX_FILE_SIZE = 50 * 1024 * 1024;
|
||||
|
||||
// ── Sanitize JSON (NaN/Infinity → null) ──────────────────────
|
||||
function sanitizeJSON(text) {
|
||||
return text
|
||||
.replace(/-Infinity\b/g, "null")
|
||||
.replace(/\bInfinity\b/g, "null")
|
||||
.replace(/\bNaN\b/g, "null");
|
||||
}
|
||||
|
||||
// ── WebP EXIF ────────────────────────────────────────────────
|
||||
async function readWebPEXIFChunk(file) {
|
||||
const buffer = await file.arrayBuffer();
|
||||
const bytes = new Uint8Array(buffer);
|
||||
const view = new DataView(buffer);
|
||||
const ascii = new TextDecoder("latin1");
|
||||
if (bytes.byteLength < 12) return null;
|
||||
if (ascii.decode(bytes.slice(0, 4)) !== "RIFF") return null;
|
||||
if (ascii.decode(bytes.slice(8, 12)) !== "WEBP") return null;
|
||||
let offset = 12;
|
||||
while (offset + 8 <= buffer.byteLength) {
|
||||
const fourcc = ascii.decode(bytes.slice(offset, offset + 4));
|
||||
const chunkSize = view.getUint32(offset + 4, true);
|
||||
if (fourcc === "EXIF") return bytes.slice(offset + 8, offset + 8 + chunkSize);
|
||||
offset += 8 + chunkSize;
|
||||
if (chunkSize % 2 === 1) offset++;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
function extractWorkflowFromEXIF(exifBytes) {
|
||||
const utf8 = new TextDecoder("utf-8", { fatal: false });
|
||||
const text = utf8.decode(exifBytes);
|
||||
for (const key of ["workflow:", "prompt:"]) {
|
||||
const idx = text.indexOf(key + "{");
|
||||
if (idx < 0) continue;
|
||||
let jsonStr = text.slice(idx + key.length);
|
||||
const nullIdx = jsonStr.indexOf("\x00");
|
||||
if (nullIdx >= 0) jsonStr = jsonStr.slice(0, nullIdx);
|
||||
try { return JSON.parse(sanitizeJSON(jsonStr)); } catch {
|
||||
const lb = jsonStr.lastIndexOf("}");
|
||||
if (lb > 0) { try { return JSON.parse(sanitizeJSON(jsonStr.slice(0, lb + 1))); } catch {} }
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
// ── PNG text chunks ───────────────────────────────────────────
|
||||
function findNull(arr, start = 0) {
|
||||
for (let i = start; i < arr.length; i++) if (arr[i] === 0) return i;
|
||||
return -1;
|
||||
}
|
||||
function parseTEXtChunk(data, latin1) {
|
||||
const np = findNull(data);
|
||||
if (np === -1) return null;
|
||||
return { keyword: latin1.decode(data.slice(0, np)), text: latin1.decode(data.slice(np + 1)) };
|
||||
}
|
||||
function parseITXtChunk(data, latin1, utf8) {
|
||||
const np = findNull(data);
|
||||
if (np === -1) return null;
|
||||
const keyword = latin1.decode(data.slice(0, np));
|
||||
let pos = np + 3;
|
||||
pos = findNull(data, pos); if (pos === -1) return null; pos++;
|
||||
pos = findNull(data, pos); if (pos === -1) return null; pos++;
|
||||
return { keyword, text: utf8.decode(data.slice(pos)) };
|
||||
}
|
||||
async function readAllPNGTextChunks(file) {
|
||||
const buffer = await file.arrayBuffer();
|
||||
const bytes = new Uint8Array(buffer);
|
||||
const PNG_SIG = [0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a];
|
||||
for (let i = 0; i < 8; i++) if (bytes[i] !== PNG_SIG[i]) return null;
|
||||
const view = new DataView(buffer);
|
||||
const latin1 = new TextDecoder("latin1");
|
||||
const utf8 = new TextDecoder("utf-8");
|
||||
let offset = 8;
|
||||
const chunks = {};
|
||||
while (offset + 12 <= buffer.byteLength) {
|
||||
const length = view.getUint32(offset);
|
||||
if (offset + 12 + length > buffer.byteLength) break;
|
||||
const type = latin1.decode(bytes.slice(offset + 4, offset + 8));
|
||||
const data = bytes.slice(offset + 8, offset + 8 + length);
|
||||
if (type === "tEXt") { const c = parseTEXtChunk(data, latin1); if (c) chunks[c.keyword] = c.text; }
|
||||
else if (type === "iTXt") { const c = parseITXtChunk(data, latin1, utf8); if (c) chunks[c.keyword] = c.text; }
|
||||
offset += 12 + length;
|
||||
}
|
||||
return chunks;
|
||||
}
|
||||
|
||||
// ── Workflow extraction helpers ───────────────────────────────
|
||||
function collectUnique(arr) {
|
||||
const seen = new Set(), out = [];
|
||||
for (const v of arr) { if (v && typeof v === "string" && !seen.has(v)) { seen.add(v); out.push(v); } }
|
||||
return out;
|
||||
}
|
||||
function collectAllNodes(workflow) {
|
||||
if (!Array.isArray(workflow.nodes)) return [];
|
||||
const all = [...workflow.nodes];
|
||||
for (const sg of workflow.definitions?.subgraphs ?? []) if (Array.isArray(sg.nodes)) all.push(...sg.nodes);
|
||||
return all;
|
||||
}
|
||||
const META_NODE_TYPES = new Set(["ImageMetadataCheckpointLoader", "ImageMetadataPromptLoader"]);
|
||||
const VAE_NONE = "None";
|
||||
|
||||
function extractCheckpoints(wf) {
|
||||
if (!wf || typeof wf !== "object") return [];
|
||||
if (Array.isArray(wf.nodes)) return collectUnique(collectAllNodes(wf).filter(n => n.type?.toLowerCase().includes("checkpoint") || META_NODE_TYPES.has(n.type)).map(n => n.widgets_values?.[0]));
|
||||
return collectUnique(Object.values(wf).filter(n => n?.class_type?.toLowerCase().includes("checkpoint") || META_NODE_TYPES.has(n?.class_type)).map(n => n.inputs?.ckpt_name));
|
||||
}
|
||||
function extractVAEs(wf) {
|
||||
if (!wf || typeof wf !== "object") return [];
|
||||
if (Array.isArray(wf.nodes)) return collectUnique(collectAllNodes(wf).flatMap(n => { if (n.type === "VAELoader") return [n.widgets_values?.[0]]; if (META_NODE_TYPES.has(n.type ?? "")) { const v = n.widgets_values?.[1]; return v && v !== VAE_NONE ? [v] : []; } return []; }));
|
||||
return collectUnique(Object.values(wf).flatMap(n => { if (!n || typeof n !== "object") return []; if (n.class_type === "VAELoader") return [n.inputs?.vae_name]; if (META_NODE_TYPES.has(n.class_type ?? "")) { const v = n.inputs?.vae_name; return v && v !== VAE_NONE ? [v] : []; } return []; }));
|
||||
}
|
||||
function extractDiffusionModels(wf) {
|
||||
if (!wf || typeof wf !== "object") return [];
|
||||
const UNET_TYPES = new Set(["UNETLoader", "UnetLoaderGGUF", "UNETLoaderGGUF"]);
|
||||
if (Array.isArray(wf.nodes)) return collectUnique(collectAllNodes(wf).filter(n => UNET_TYPES.has(n.type)).map(n => n.widgets_values?.[0]));
|
||||
return collectUnique(Object.values(wf).filter(n => UNET_TYPES.has(n?.class_type)).map(n => n.inputs?.unet_name));
|
||||
}
|
||||
function extractTextEncoders(wf) {
|
||||
if (!wf || typeof wf !== "object") return [];
|
||||
const names = [];
|
||||
if (Array.isArray(wf.nodes)) {
|
||||
for (const n of collectAllNodes(wf)) {
|
||||
if (n.type === "CLIPLoader") { if (n.widgets_values?.[0]) names.push(n.widgets_values[0]); }
|
||||
else if (n.type === "DualCLIPLoader") { [0,1].forEach(i => { if (n.widgets_values?.[i]) names.push(n.widgets_values[i]); }); }
|
||||
else if (n.type === "TripleCLIPLoader") { [0,1,2].forEach(i => { if (n.widgets_values?.[i]) names.push(n.widgets_values[i]); }); }
|
||||
else if (n.type === "QuadrupleCLIPLoader") { [0,1,2,3].forEach(i => { if (n.widgets_values?.[i]) names.push(n.widgets_values[i]); }); }
|
||||
}
|
||||
} else {
|
||||
for (const n of Object.values(wf)) {
|
||||
if (!n || typeof n !== "object") continue;
|
||||
const ct = n.class_type ?? "";
|
||||
if (ct === "CLIPLoader") { if (n.inputs?.clip_name) names.push(n.inputs.clip_name); }
|
||||
else if (ct === "DualCLIPLoader") { if (n.inputs?.clip_name1) names.push(n.inputs.clip_name1); if (n.inputs?.clip_name2) names.push(n.inputs.clip_name2); }
|
||||
else if (ct === "TripleCLIPLoader") { ["clip_name1","clip_name2","clip_name3"].forEach(k => { if (n.inputs?.[k]) names.push(n.inputs[k]); }); }
|
||||
else if (ct === "QuadrupleCLIPLoader") { ["clip_name1","clip_name2","clip_name3","clip_name4"].forEach(k => { if (n.inputs?.[k]) names.push(n.inputs[k]); }); }
|
||||
}
|
||||
}
|
||||
return collectUnique(names);
|
||||
}
|
||||
function extractLoRAs(wf) {
|
||||
if (!wf || typeof wf !== "object") return [];
|
||||
const results = [], seen = new Set();
|
||||
function add(name, sm, sc) {
|
||||
if (!name || typeof name !== "string" || name === "None" || seen.has(name)) return;
|
||||
seen.add(name);
|
||||
results.push({ name, strength_model: typeof sm === "number" ? sm : 1.0, strength_clip: typeof sc === "number" ? sc : 1.0 });
|
||||
}
|
||||
if (Array.isArray(wf.nodes)) {
|
||||
for (const n of collectAllNodes(wf)) {
|
||||
const type = n.type ?? "";
|
||||
if (type === "LoraLoader") add(n.widgets_values?.[0], n.widgets_values?.[1], n.widgets_values?.[2]);
|
||||
else if (type === "LoraLoaderModelOnly") add(n.widgets_values?.[0], n.widgets_values?.[1], 1.0);
|
||||
else if (type === "ImageMetadataLoRALoader") { for (let i = 0; i < 3; i++) add(n.widgets_values?.[i*3], n.widgets_values?.[i*3+1], n.widgets_values?.[i*3+2]); }
|
||||
else if (type === "Lora Loader (LoraManager)") { const list = n.widgets_values?.find(v => Array.isArray(v)); if (list) for (const l of list) { if (l?.active !== false) add(l?.name, l?.strength ?? 1.0, l?.clipStrength ?? l?.strength ?? 1.0); } }
|
||||
}
|
||||
} else {
|
||||
for (const n of Object.values(wf)) {
|
||||
if (!n || typeof n !== "object") continue;
|
||||
const ct = n.class_type ?? "";
|
||||
if (ct === "LoraLoader") add(n.inputs?.lora_name, n.inputs?.strength_model, n.inputs?.strength_clip);
|
||||
else if (ct === "LoraLoaderModelOnly") add(n.inputs?.lora_name, n.inputs?.strength, 1.0);
|
||||
}
|
||||
}
|
||||
return results;
|
||||
}
|
||||
|
||||
function isTextEncoderNode(ct) { return ct === "CLIPTextEncode" || ct.includes("TextEncode") || ct.includes("TextEncoderSD"); }
|
||||
function isSamplerNode(ct) { return ct === "KSampler" || ct === "KSamplerAdvanced" || ct.includes("KSampler") || ct.includes("Sampler"); }
|
||||
function isPromptStylerNode(ct) { return ct.includes("PromptStyler"); }
|
||||
|
||||
function extractPrompts(wf) {
|
||||
if (!wf || typeof wf !== "object") return { positives: [], negatives: [] };
|
||||
return Array.isArray(wf.nodes) ? extractPromptsLiteGraph(wf) : extractPromptsAPI(wf);
|
||||
}
|
||||
|
||||
// CLIPTextEncode + KSampler でプロンプト抽出（トップレベル・サブグラフ共用）
|
||||
// サンプラーが見つかりテキストが取れた場合のみ非null を返す
|
||||
function extractPromptsFromNodeSet(nodes, links) {
|
||||
const nodeMap = new Map();
|
||||
for (const n of nodes) nodeMap.set(n.id, n);
|
||||
const linkOrigin = new Map(), linkSlot = new Map();
|
||||
if (Array.isArray(links)) {
|
||||
for (const lk of links) {
|
||||
if (Array.isArray(lk)) {
|
||||
linkOrigin.set(lk[0], lk[1]);
|
||||
linkSlot.set(lk[0], lk[2] ?? 0);
|
||||
} else if (lk && typeof lk === "object") {
|
||||
const id = lk.id ?? lk[0], origin = lk.origin_id ?? lk[1], slot = lk.origin_slot ?? lk[2] ?? 0;
|
||||
if (id != null && origin != null) { linkOrigin.set(id, origin); linkSlot.set(id, slot); }
|
||||
}
|
||||
}
|
||||
}
|
||||
const textMap = new Map();
|
||||
for (const n of nodes) {
|
||||
if (!isTextEncoderNode(n.type ?? "")) continue;
|
||||
const text = n.widgets_values?.[0];
|
||||
if (text && typeof text === "string") {
|
||||
textMap.set(n.id, text);
|
||||
} else if (Array.isArray(n.inputs)) {
|
||||
const textInput = n.inputs.find(inp => inp.name === "text" || inp.name === "text_g" || inp.name === "prompt");
|
||||
if (textInput?.link != null) {
|
||||
const originId = linkOrigin.get(textInput.link);
|
||||
const originSlot = linkSlot.get(textInput.link) ?? 0;
|
||||
const srcNode = originId != null ? nodeMap.get(originId) : null;
|
||||
if (srcNode) {
|
||||
const srcType = srcNode.type ?? "";
|
||||
if (isPromptStylerNode(srcType)) {
|
||||
const v = srcNode.widgets_values?.[originSlot];
|
||||
if (v && typeof v === "string") textMap.set(n.id, v);
|
||||
} else {
|
||||
// WFS_PromptText, PrimitiveStringMultiline, ComfySwitchNode 等、任意の STRING 出力ノード
|
||||
const v = srcNode.widgets_values?.[originSlot] ?? srcNode.widgets_values?.[0];
|
||||
if (v && typeof v === "string") textMap.set(n.id, v);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
const pos = new Set(), neg = new Set();
|
||||
let foundSampler = false;
|
||||
for (const n of nodes) {
|
||||
if (!isSamplerNode(n.type ?? "") || !Array.isArray(n.inputs)) continue;
|
||||
foundSampler = true;
|
||||
for (const inp of n.inputs) {
|
||||
if (!inp || inp.link == null) continue;
|
||||
const originId = linkOrigin.get(inp.link);
|
||||
if (originId == null) continue;
|
||||
const text = textMap.get(originId);
|
||||
if (!text) continue;
|
||||
const name = inp.name ?? "";
|
||||
if (name === "positive" || name.startsWith("positive")) pos.add(text);
|
||||
else if (name === "negative" || name.startsWith("negative")) neg.add(text);
|
||||
}
|
||||
}
|
||||
if (!foundSampler) return null;
|
||||
// SamplerCustomAdvanced などで positive/negative 直結がない場合、判別不能テキストとして返す
|
||||
if (pos.size === 0 && neg.size === 0) {
|
||||
const allTexts = [...textMap.values()].filter(t => t.trim());
|
||||
if (allTexts.length > 0) return { positives: [], negatives: [], texts: allTexts };
|
||||
return null;
|
||||
}
|
||||
return { positives: [...pos], negatives: [...neg] };
|
||||
}
|
||||
|
||||
// MarkdownNote の **section** → - [name](url) パターンからモデルを抽出
|
||||
// flux/qwen/z-image などのサブグラフ形式ワークフロー向け補完用
|
||||
function extractMarkdownNoteModels(wf) {
|
||||
const allNodes = [];
|
||||
if (Array.isArray(wf.nodes)) allNodes.push(...wf.nodes);
|
||||
for (const sg of wf.definitions?.subgraphs ?? []) if (Array.isArray(sg.nodes)) allNodes.push(...sg.nodes);
|
||||
const result = { checkpoints: [], vaes: [], diffusionModels: [], textEncoders: [], loras: [] };
|
||||
const seen = { checkpoints: new Set(), vaes: new Set(), diffusionModels: new Set(), textEncoders: new Set(), loras: new Set() };
|
||||
function addU(arr, set, name) { if (name && typeof name === "string" && !set.has(name)) { set.add(name); arr.push(name); } }
|
||||
for (const n of allNodes) {
|
||||
if (n.type !== "MarkdownNote") continue;
|
||||
const raw = n.widgets_values;
|
||||
const text = Array.isArray(raw) ? raw[0] : (typeof raw === "string" ? raw : null);
|
||||
if (!text) continue;
|
||||
const sRe = /\*\*([^*\n]+)\*\*/g;
|
||||
let sm;
|
||||
while ((sm = sRe.exec(text)) !== null) {
|
||||
const sec = sm[1].trim().toLowerCase().replace(/\s+/g, "_");
|
||||
if (!["text_encoders", "diffusion_models", "vae", "checkpoints", "loras"].includes(sec)) continue;
|
||||
const rest = text.slice(sm.index + sm[0].length);
|
||||
const end = rest.search(/\n\*\*|\n##/);
|
||||
const content = end >= 0 ? rest.slice(0, end) : rest;
|
||||
const lRe = /^- \[([^\]]+)\]/gm;
|
||||
let lm;
|
||||
while ((lm = lRe.exec(content)) !== null) {
|
||||
const name = lm[1].trim();
|
||||
if (sec === "text_encoders") addU(result.textEncoders, seen.textEncoders, name);
|
||||
else if (sec === "diffusion_models") addU(result.diffusionModels, seen.diffusionModels, name);
|
||||
else if (sec === "vae") addU(result.vaes, seen.vaes, name);
|
||||
else if (sec === "checkpoints") addU(result.checkpoints, seen.checkpoints, name);
|
||||
else if (sec === "loras") addU(result.loras, seen.loras, name);
|
||||
}
|
||||
}
|
||||
}
|
||||
const hasAny = result.checkpoints.length || result.vaes.length || result.diffusionModels.length || result.textEncoders.length || result.loras.length;
|
||||
return hasAny ? result : null;
|
||||
}
|
||||
|
||||
// API形式: リンク参照 [srcNodeId, slot] からテキストを解決
|
||||
function resolveLinkedText(wf, srcId, slot) {
|
||||
const src = wf[String(srcId)];
|
||||
if (!src || typeof src !== "object") return null;
|
||||
const ct = src.class_type ?? "";
|
||||
// PromptStyler系: slot 0 = text_positive, slot 1 = text_negative
|
||||
if (isPromptStylerNode(ct)) {
|
||||
const v = slot === 0 ? src.inputs?.text_positive : src.inputs?.text_negative;
|
||||
return (v && typeof v === "string") ? v : null;
|
||||
}
|
||||
// 汎用テキストキー
|
||||
const keys = slot === 0
|
||||
? ["text_positive", "text", "text_g", "prompt"]
|
||||
: ["text_negative", "text_l"];
|
||||
for (const k of keys) {
|
||||
const v = src.inputs?.[k];
|
||||
if (v && typeof v === "string") return v;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
function extractPromptsAPI(wf) {
|
||||
const metaNodes = Object.values(wf).filter(n => n?.class_type === "ImageMetadataPromptLoader");
|
||||
if (metaNodes.length > 0) {
|
||||
const pos = new Set(), neg = new Set();
|
||||
for (const n of metaNodes) { if (n.inputs?.positive_text) pos.add(n.inputs.positive_text); if (n.inputs?.negative_text) neg.add(n.inputs.negative_text); }
|
||||
if (pos.size > 0 || neg.size > 0) return { positives: [...pos], negatives: [...neg] };
|
||||
}
|
||||
const textMap = new Map();
|
||||
for (const [id, n] of Object.entries(wf)) {
|
||||
if (!n || !isTextEncoderNode(n.class_type ?? "")) continue;
|
||||
const raw = n.inputs?.text ?? n.inputs?.text_g ?? null;
|
||||
if (raw && typeof raw === "string") {
|
||||
textMap.set(id, raw);
|
||||
} else if (Array.isArray(raw)) {
|
||||
// リンク参照 [srcNodeId, slot] → 解決
|
||||
const text = resolveLinkedText(wf, raw[0], raw[1] ?? 0);
|
||||
if (text) textMap.set(id, text);
|
||||
}
|
||||
}
|
||||
const pos = new Set(), neg = new Set();
|
||||
let foundSampler = false;
|
||||
for (const n of Object.values(wf)) {
|
||||
if (!n || !isSamplerNode(n.class_type ?? "")) continue;
|
||||
foundSampler = true;
|
||||
for (const [key, val] of Object.entries(n.inputs ?? {})) {
|
||||
if (!Array.isArray(val)) continue;
|
||||
const text = textMap.get(String(val[0]));
|
||||
if (!text) continue;
|
||||
if (key === "positive" || key.startsWith("positive")) pos.add(text);
|
||||
else if (key === "negative" || key.startsWith("negative")) neg.add(text);
|
||||
}
|
||||
}
|
||||
if (!foundSampler || (pos.size === 0 && neg.size === 0)) { const all = [...textMap.values()].filter(t => t && t.trim()); return { positives: [], negatives: [], texts: all }; }
|
||||
return { positives: [...pos], negatives: [...neg] };
|
||||
}
|
||||
|
||||
function extractPromptsLiteGraph(wf) {
|
||||
const { nodes, links } = wf;
|
||||
if (!Array.isArray(nodes)) return { positives: [], negatives: [] };
|
||||
|
||||
// 1. ImageMetadataPromptLoader (WFS専用)
|
||||
const metaNodes = nodes.filter(n => n.type === "ImageMetadataPromptLoader");
|
||||
if (metaNodes.length > 0) {
|
||||
const pos = new Set(), neg = new Set();
|
||||
for (const n of metaNodes) { const p = n.widgets_values?.[2], ng = n.widgets_values?.[3]; if (p) pos.add(p); if (ng) neg.add(ng); }
|
||||
if (pos.size > 0 || neg.size > 0) return { positives: [...pos], negatives: [...neg] };
|
||||
}
|
||||
|
||||
// 2. WFS_PromptText (WFS専用)
|
||||
const wfsNodes = nodes.filter(n => n.type === "WFS_PromptText");
|
||||
if (wfsNodes.length > 0) {
|
||||
const pos = new Set(), neg = new Set();
|
||||
for (const n of wfsNodes) { const p = n.widgets_values?.[0], ng = n.widgets_values?.[1]; if (p) pos.add(p); if (ng) neg.add(ng); }
|
||||
if (pos.size > 0 || neg.size > 0) return { positives: [...pos], negatives: [...neg] };
|
||||
}
|
||||
|
||||
// 3. トップレベルの CLIPTextEncode + KSampler
|
||||
const topResult = extractPromptsFromNodeSet(nodes, links ?? []);
|
||||
if (topResult) return topResult;
|
||||
|
||||
// 4. PrimitiveStringMultiline（flux2-klein / ernie など）- サブグラフ内も探す
|
||||
const primTexts = [];
|
||||
for (const n of collectAllNodes(wf)) {
|
||||
if (n.type !== "PrimitiveStringMultiline") continue;
|
||||
const t = Array.isArray(n.widgets_values) ? n.widgets_values[0] : n.widgets_values;
|
||||
if (t && typeof t === "string" && t.trim()) primTexts.push(t.trim());
|
||||
}
|
||||
if (primTexts.length > 0) return { positives: [], negatives: [], texts: primTexts };
|
||||
|
||||
// 5. サブグラフ内の CLIPTextEncode + KSampler（z-image / qwen / flux など）
|
||||
for (const sg of wf.definitions?.subgraphs ?? []) {
|
||||
if (!Array.isArray(sg.nodes)) continue;
|
||||
const sgResult = extractPromptsFromNodeSet(sg.nodes, sg.links ?? []);
|
||||
if (sgResult) return sgResult;
|
||||
}
|
||||
|
||||
// 6. PromptStyler フォールバック
|
||||
const stylerPos = new Set(), stylerNeg = new Set();
|
||||
for (const n of nodes) {
|
||||
if (!isPromptStylerNode(n.type ?? "")) continue;
|
||||
const vals = n.widgets_values ?? [];
|
||||
for (let i = 0; i < vals.length; i++) {
|
||||
if (typeof vals[i] !== "string" || !vals[i].trim()) continue;
|
||||
if (i % 2 === 0) stylerPos.add(vals[i]);
|
||||
else stylerNeg.add(vals[i]);
|
||||
}
|
||||
}
|
||||
if (stylerPos.size > 0 || stylerNeg.size > 0) return { positives: [...stylerPos], negatives: [...stylerNeg] };
|
||||
|
||||
// 7. テキストエンコーダー全テキスト（最終フォールバック）- サブグラフも含む・判別不能
|
||||
const all = [];
|
||||
for (const n of collectAllNodes(wf)) {
|
||||
if (!isTextEncoderNode(n.type ?? "")) continue;
|
||||
const t = n.widgets_values?.[0];
|
||||
if (t && typeof t === "string" && t.trim()) all.push(t);
|
||||
}
|
||||
return { positives: [], negatives: [], texts: all };
|
||||
}
|
||||
|
||||
// ── SD/Fooocus prompt extraction ──────────────────────────────
|
||||
function parseSDAParameters(raw) {
|
||||
const text = raw.replace(/\r\n/g, "\n").replace(/\r/g, "\n");
|
||||
const stepsMatch = text.match(/\nSteps:\s+\d/);
|
||||
if (!stepsMatch) return null;
|
||||
const paramsStart = stepsMatch.index + 1;
|
||||
const promptSection = text.slice(0, paramsStart - 1);
|
||||
const paramsLine = text.slice(paramsStart);
|
||||
const negSep = "\nNegative prompt: ";
|
||||
const negIdx = promptSection.indexOf(negSep);
|
||||
let positive = "", negative = "";
|
||||
if (negIdx !== -1) { positive = promptSection.slice(0, negIdx).trim(); negative = promptSection.slice(negIdx + negSep.length).trim(); }
|
||||
else positive = promptSection.trim();
|
||||
const params = {};
|
||||
const re = /,?\s*([A-Za-z][A-Za-z0-9 ]*):\s*("(?:[^"\\]|\\.)*"|[^,]+)/g;
|
||||
let m;
|
||||
while ((m = re.exec(paramsLine)) !== null) params[m[1].trim()] = m[2].trim().replace(/^"|"$/g, "");
|
||||
return { positive, negative, params };
|
||||
}
|
||||
function parseFooocusMetadata(raw) {
|
||||
let obj; try { obj = JSON.parse(raw); } catch { return null; }
|
||||
if (!obj?.base_model) return null;
|
||||
const toArray = v => !v ? [] : Array.isArray(v) ? v.filter(Boolean) : [String(v)];
|
||||
return { checkpoint: obj.base_model, vae: (obj.vae && obj.vae !== "Default") ? obj.vae : null, positives: toArray(obj.full_prompt ?? obj.prompt), negatives: toArray(obj.full_negative_prompt ?? obj.negative_prompt) };
|
||||
}
|
||||
|
||||
// ── Master extractAllMetadata ─────────────────────────────────
|
||||
async function extractAllMetadata(file) {
|
||||
const name = file.name.toLowerCase();
|
||||
const isJSON = file.type === "application/json" || name.endsWith(".json");
|
||||
const isWebP = file.type === "image/webp" || name.endsWith(".webp");
|
||||
|
||||
function fromWorkflow(wf, source) {
|
||||
const base = { source, checkpoints: extractCheckpoints(wf), vaes: extractVAEs(wf), diffusionModels: extractDiffusionModels(wf), textEncoders: extractTextEncoders(wf), loras: extractLoRAs(wf), ...extractPrompts(wf) };
|
||||
// MarkdownNote からモデル情報を補完（subgraph形式の flux/qwen/z-image など）
|
||||
const mdm = extractMarkdownNoteModels(wf);
|
||||
if (mdm) {
|
||||
if (!base.checkpoints.length) base.checkpoints = mdm.checkpoints;
|
||||
if (!base.vaes.length) base.vaes = mdm.vaes;
|
||||
if (!base.diffusionModels.length) base.diffusionModels = mdm.diffusionModels;
|
||||
if (!base.textEncoders.length) base.textEncoders = mdm.textEncoders;
|
||||
if (!base.loras.length) base.loras = mdm.loras;
|
||||
}
|
||||
return base;
|
||||
}
|
||||
|
||||
if (isJSON) {
|
||||
let wf; try { wf = JSON.parse(sanitizeJSON(await file.text())); } catch { return null; }
|
||||
return wf ? fromWorkflow(wf, "comfyui") : null;
|
||||
}
|
||||
if (isWebP) {
|
||||
const exif = await readWebPEXIFChunk(file);
|
||||
if (!exif) return null;
|
||||
const wf = extractWorkflowFromEXIF(exif);
|
||||
return wf ? fromWorkflow(wf, "comfyui") : null;
|
||||
}
|
||||
// PNG
|
||||
const chunks = await readAllPNGTextChunks(file);
|
||||
if (!chunks) return null;
|
||||
|
||||
if (chunks.prompt) { let wf; try { wf = JSON.parse(sanitizeJSON(chunks.prompt)); } catch { return null; } return wf ? fromWorkflow(wf, "comfyui") : null; }
|
||||
if (chunks.workflow) { let wf; try { wf = JSON.parse(sanitizeJSON(chunks.workflow)); } catch { return null; } return wf ? fromWorkflow(wf, "comfyui") : null; }
|
||||
|
||||
if (chunks.fooocus_scheme === "fooocus" && chunks.parameters) {
|
||||
const f = parseFooocusMetadata(chunks.parameters);
|
||||
if (!f) return null;
|
||||
return { source: "fooocus", checkpoints: [f.checkpoint], vaes: f.vae ? [f.vae] : [], diffusionModels: [], textEncoders: [], loras: [], positives: f.positives, negatives: f.negatives };
|
||||
}
|
||||
if (chunks.parameters) {
|
||||
const p = parseSDAParameters(chunks.parameters);
|
||||
if (!p) return null;
|
||||
const { positive, negative, params } = p;
|
||||
const modelName = params["Model"];
|
||||
if (!modelName) return null;
|
||||
if (params["Module 2"] != null) {
|
||||
const textEncoders = [];
|
||||
for (let i = 2; i <= 9; i++) { const mod = params[`Module ${i}`]; if (!mod) break; textEncoders.push(mod); }
|
||||
return { source: "sd_forge", checkpoints: [], vaes: params["Module 1"] ? [params["Module 1"]] : [], diffusionModels: [modelName], textEncoders, loras: [], positives: positive ? [positive] : [], negatives: negative ? [negative] : [] };
|
||||
}
|
||||
const vaeValue = params["Module 1"] ?? params["VAE"] ?? null;
|
||||
return { source: "sd", checkpoints: [modelName], vaes: vaeValue ? [vaeValue] : [], diffusionModels: [], textEncoders: [], loras: [], positives: positive ? [positive] : [], negatives: negative ? [negative] : [] };
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
// ── UI helpers ────────────────────────────────────────────────
|
||||
function escapeHtml(s) { return String(s).replace(/&/g, "&").replace(/</g, "<").replace(/>/g, ">"); }
|
||||
|
||||
function buildModelItem(label) {
|
||||
const el = document.createElement("div");
|
||||
el.className = "wfm-meta-item";
|
||||
el.title = label;
|
||||
el.innerHTML = `<span class="wfm-meta-item-name">${escapeHtml(label)}</span>`;
|
||||
return el;
|
||||
}
|
||||
|
||||
function buildLoRAItem(lora) {
|
||||
const el = document.createElement("div");
|
||||
el.className = "wfm-meta-item";
|
||||
el.title = lora.name;
|
||||
const sm = lora.strength_model.toFixed(2);
|
||||
const sc = lora.strength_clip.toFixed(2);
|
||||
el.innerHTML = `<span class="wfm-meta-item-name">${escapeHtml(lora.name)}</span><span class="wfm-meta-item-badge">${sm}/${sc}</span>`;
|
||||
return el;
|
||||
}
|
||||
|
||||
function buildPromptItem(label, type, full, fullArea, fullLabel, listEl) {
|
||||
const el = document.createElement("div");
|
||||
el.className = "wfm-meta-item wfm-meta-item-clickable";
|
||||
const snippet = label.length > 60 ? label.slice(0, 60) + "…" : label;
|
||||
const typeBadge = type === "positive" ? `<span class="wfm-meta-badge-pos">POS</span>`
|
||||
: type === "negative" ? `<span class="wfm-meta-badge-neg">NEG</span>`
|
||||
: ``;
|
||||
el.innerHTML = `${typeBadge}<span class="wfm-meta-item-name">${escapeHtml(snippet)}</span>`;
|
||||
el.addEventListener("click", () => {
|
||||
listEl.querySelectorAll(".wfm-meta-item-clickable").forEach(e => e.classList.remove("selected"));
|
||||
el.classList.add("selected");
|
||||
fullArea.value = full;
|
||||
fullLabel.textContent = type === "positive" ? t("metaPromptPositive")
|
||||
: type === "negative" ? t("metaPromptNegative")
|
||||
: t("metaPromptText") || "Text";
|
||||
});
|
||||
return el;
|
||||
}
|
||||
|
||||
function renderSection(sectionEl, listEl, items, buildFn) {
|
||||
listEl.innerHTML = "";
|
||||
if (items.length === 0) { sectionEl.classList.add("wfm-meta-section-empty"); return; }
|
||||
sectionEl.classList.remove("wfm-meta-section-empty");
|
||||
for (const item of items) listEl.appendChild(buildFn(item));
|
||||
}
|
||||
|
||||
// ── Tab initialization ────────────────────────────────────────
|
||||
export function initMetadataTab() {
|
||||
const dropZone = document.getElementById("wfm-meta-drop");
|
||||
const dropLabel = document.getElementById("wfm-meta-drop-label");
|
||||
const previewImg = document.getElementById("wfm-meta-preview-img");
|
||||
const fileInfo = document.getElementById("wfm-meta-file-info");
|
||||
const fileInput = document.getElementById("wfm-meta-file-input");
|
||||
|
||||
const ckptSection = document.getElementById("wfm-meta-ckpt-section");
|
||||
const vaeSection = document.getElementById("wfm-meta-vae-section");
|
||||
const diffSection = document.getElementById("wfm-meta-diff-section");
|
||||
const teSection = document.getElementById("wfm-meta-te-section");
|
||||
const loraSection = document.getElementById("wfm-meta-lora-section");
|
||||
const promptSection = document.getElementById("wfm-meta-prompt-section");
|
||||
|
||||
const ckptList = document.getElementById("wfm-meta-ckpt-list");
|
||||
const vaeList = document.getElementById("wfm-meta-vae-list");
|
||||
const diffList = document.getElementById("wfm-meta-diff-list");
|
||||
const teList = document.getElementById("wfm-meta-te-list");
|
||||
const loraList = document.getElementById("wfm-meta-lora-list");
|
||||
const promptList = document.getElementById("wfm-meta-prompt-list");
|
||||
const promptFull = document.getElementById("wfm-meta-prompt-full");
|
||||
const promptFullLabel = document.getElementById("wfm-meta-prompt-full-label");
|
||||
|
||||
if (!dropZone) return;
|
||||
|
||||
// Apply i18n to section titles
|
||||
const titleMap = {
|
||||
"wfm-meta-ckpt-section": "metaSectionCkpt",
|
||||
"wfm-meta-vae-section": "metaSectionVae",
|
||||
"wfm-meta-diff-section": "metaSectionDiff",
|
||||
"wfm-meta-te-section": "metaSectionTe",
|
||||
"wfm-meta-lora-section": "metaSectionLora",
|
||||
"wfm-meta-prompt-section": "metaSectionPrompt",
|
||||
};
|
||||
for (const [id, key] of Object.entries(titleMap)) {
|
||||
const title = document.querySelector(`#${id} .wfm-meta-section-title`);
|
||||
if (title) { const tx = t(key); if (tx && tx !== key) title.textContent = tx; }
|
||||
}
|
||||
|
||||
// Apply i18n to format note
|
||||
const i18nIds = {
|
||||
"wfm-meta-format-note-title": "metaFormatNoteTitle",
|
||||
"wfm-meta-fmt-comfyui": "metaFmtComfyui",
|
||||
"wfm-meta-fmt-sdwebui": "metaFmtSdwebui",
|
||||
"wfm-meta-fmt-fooocus": "metaFmtFooocus",
|
||||
"wfm-meta-format-todo": "metaFormatTodo",
|
||||
};
|
||||
for (const [id, key] of Object.entries(i18nIds)) {
|
||||
const el = document.getElementById(id);
|
||||
if (el) { const tx = t(key); if (tx && tx !== key) el.textContent = tx; }
|
||||
}
|
||||
|
||||
// Apply i18n to help card
|
||||
const helpIds = {
|
||||
"wfm-help-metadata-title": "helpMetadataTitle",
|
||||
"wfm-help-metadata-desc": "helpMetadataDesc",
|
||||
"wfm-help-metadata-1": "helpMetadata1",
|
||||
"wfm-help-metadata-2": "helpMetadata2",
|
||||
"wfm-help-metadata-3": "helpMetadata3",
|
||||
"wfm-help-metadata-4": "helpMetadata4",
|
||||
"wfm-help-metadata-5": "helpMetadata5",
|
||||
};
|
||||
for (const [id, key] of Object.entries(helpIds)) {
|
||||
const el = document.getElementById(id);
|
||||
if (el) { const tx = t(key); if (tx && tx !== key) el.textContent = tx; }
|
||||
}
|
||||
|
||||
function clearAll() {
|
||||
[ckptList, vaeList, diffList, teList, loraList, promptList].forEach(l => { if (l) l.innerHTML = ""; });
|
||||
[ckptSection, vaeSection, diffSection, teSection, loraSection, promptSection].forEach(s => { if (s) s.classList.add("wfm-meta-section-empty"); });
|
||||
if (promptFull) promptFull.value = "";
|
||||
if (promptFullLabel) promptFullLabel.textContent = "";
|
||||
}
|
||||
|
||||
async function handleFile(file) {
|
||||
if (!file) return;
|
||||
if (file.size > MAX_FILE_SIZE) {
|
||||
fileInfo.textContent = t("metaFileTooLarge");
|
||||
fileInfo.style.color = "var(--wfm-warning)";
|
||||
return;
|
||||
}
|
||||
|
||||
fileInfo.textContent = t("metaParsing");
|
||||
fileInfo.style.color = "var(--wfm-text-secondary)";
|
||||
clearAll();
|
||||
|
||||
// Show preview for images
|
||||
const isImage = file.type.startsWith("image/") || file.name.toLowerCase().match(/\.(png|webp|jpg|jpeg)$/);
|
||||
if (isImage) {
|
||||
const url = URL.createObjectURL(file);
|
||||
previewImg.src = url;
|
||||
previewImg.style.display = "block";
|
||||
dropLabel.style.display = "none";
|
||||
previewImg.onload = () => URL.revokeObjectURL(url);
|
||||
} else {
|
||||
previewImg.style.display = "none";
|
||||
dropLabel.style.display = "flex";
|
||||
}
|
||||
|
||||
let meta;
|
||||
try {
|
||||
meta = await extractAllMetadata(file);
|
||||
} catch (err) {
|
||||
console.error("[MetadataTab]", err);
|
||||
fileInfo.textContent = t("metaParseError");
|
||||
fileInfo.style.color = "var(--wfm-danger)";
|
||||
return;
|
||||
}
|
||||
|
||||
if (!meta) {
|
||||
fileInfo.textContent = t("metaNoMetadata");
|
||||
fileInfo.style.color = "var(--wfm-warning)";
|
||||
return;
|
||||
}
|
||||
|
||||
const sizeKB = (file.size / 1024).toFixed(1);
|
||||
const sourceLabel = { comfyui: "ComfyUI", sd: "SD WebUI", sd_forge: "SD Forge", fooocus: "Fooocus" }[meta.source] ?? meta.source;
|
||||
fileInfo.textContent = `${file.name} (${sizeKB} KB · ${sourceLabel})`;
|
||||
fileInfo.style.color = "var(--wfm-text-secondary)";
|
||||
|
||||
renderSection(ckptSection, ckptList, meta.checkpoints, n => buildModelItem(n));
|
||||
renderSection(vaeSection, vaeList, meta.vaes, n => buildModelItem(n));
|
||||
renderSection(diffSection, diffList, meta.diffusionModels, n => buildModelItem(n));
|
||||
renderSection(teSection, teList, meta.textEncoders, n => buildModelItem(n));
|
||||
renderSection(loraSection, loraList, meta.loras, l => buildLoRAItem(l));
|
||||
|
||||
// Prompts
|
||||
promptList.innerHTML = "";
|
||||
const allPrompts = [
|
||||
...meta.positives.map(p => ({ type: "positive", text: p })),
|
||||
...meta.negatives.map(p => ({ type: "negative", text: p })),
|
||||
...(meta.texts ?? []).map(p => ({ type: "text", text: p })),
|
||||
];
|
||||
if (allPrompts.length > 0) {
|
||||
promptSection.classList.remove("wfm-meta-section-empty");
|
||||
for (const { type, text } of allPrompts) {
|
||||
promptList.appendChild(buildPromptItem(text, type, text, promptFull, promptFullLabel, promptList));
|
||||
}
|
||||
// Auto-select first positive
|
||||
const firstPositive = promptList.querySelector(".wfm-meta-item-clickable");
|
||||
if (firstPositive) firstPositive.click();
|
||||
} else {
|
||||
promptSection.classList.add("wfm-meta-section-empty");
|
||||
}
|
||||
}
|
||||
|
||||
// ── Prompt action buttons ─────────────────────────────────
|
||||
function getPromptText() { return promptFull?.value ?? ""; }
|
||||
|
||||
function flashBtn(btn) {
|
||||
btn.classList.add("wfm-meta-btn-flash");
|
||||
setTimeout(() => btn.classList.remove("wfm-meta-btn-flash"), 600);
|
||||
}
|
||||
|
||||
function setTextareaValue(id, text) {
|
||||
const el = document.getElementById(id);
|
||||
if (!el) return false;
|
||||
el.value = text;
|
||||
el.dispatchEvent(new Event("input", { bubbles: true }));
|
||||
return true;
|
||||
}
|
||||
|
||||
document.getElementById("wfm-meta-copy-btn")?.addEventListener("click", function () {
|
||||
const text = getPromptText();
|
||||
if (!text) return;
|
||||
navigator.clipboard.writeText(text).then(() => flashBtn(this));
|
||||
});
|
||||
|
||||
document.getElementById("wfm-meta-genui-pos-btn")?.addEventListener("click", function () {
|
||||
const text = getPromptText();
|
||||
if (!text) return;
|
||||
if (setTextareaValue("wfm-prompt-pos-text", text)) flashBtn(this);
|
||||
});
|
||||
|
||||
document.getElementById("wfm-meta-genui-neg-btn")?.addEventListener("click", function () {
|
||||
const text = getPromptText();
|
||||
if (!text) return;
|
||||
if (setTextareaValue("wfm-prompt-neg-text", text)) flashBtn(this);
|
||||
});
|
||||
|
||||
document.getElementById("wfm-meta-preset-pos-btn")?.addEventListener("click", function () {
|
||||
const text = getPromptText();
|
||||
if (!text) return;
|
||||
if (setTextareaValue("wfm-preset-pos", text)) flashBtn(this);
|
||||
});
|
||||
|
||||
document.getElementById("wfm-meta-preset-neg-btn")?.addEventListener("click", function () {
|
||||
const text = getPromptText();
|
||||
if (!text) return;
|
||||
if (setTextareaValue("wfm-preset-neg", text)) flashBtn(this);
|
||||
});
|
||||
|
||||
// Drag & Drop
|
||||
dropZone.addEventListener("dragover", e => { e.preventDefault(); e.stopPropagation(); dropZone.classList.add("drag-over"); });
|
||||
dropZone.addEventListener("dragleave", e => { e.stopPropagation(); dropZone.classList.remove("drag-over"); });
|
||||
dropZone.addEventListener("drop", e => { e.preventDefault(); e.stopPropagation(); dropZone.classList.remove("drag-over"); handleFile(e.dataTransfer.files?.[0]); });
|
||||
dropZone.addEventListener("click", e => { if (e.target === previewImg) return; fileInput.click(); });
|
||||
fileInput.addEventListener("change", () => { handleFile(fileInput.files?.[0]); fileInput.value = ""; });
|
||||
|
||||
// Prevent scroll passthrough in lists
|
||||
[ckptList, vaeList, diffList, teList, loraList, promptList].forEach(l => {
|
||||
if (l) l.addEventListener("wheel", e => e.stopPropagation(), { passive: true });
|
||||
});
|
||||
|
||||
clearAll();
|
||||
}
|
||||
@@ -593,6 +593,233 @@ function applyToGenerateUI(text) {
|
||||
showToast(t("appliedToGenerateUI"), "success");
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// Wildcard API helpers
|
||||
// ============================================
|
||||
|
||||
async function wcFetchFiles() {
|
||||
try {
|
||||
const res = await fetch("/api/wfm/wildcards");
|
||||
return res.ok ? await res.json() : [];
|
||||
} catch { return []; }
|
||||
}
|
||||
|
||||
async function wcFetchContent(filename) {
|
||||
try {
|
||||
const res = await fetch(`/api/wfm/wildcards/content?filename=${encodeURIComponent(filename)}`);
|
||||
const data = await res.json();
|
||||
return data.content ?? null;
|
||||
} catch { return null; }
|
||||
}
|
||||
|
||||
async function wcSaveFile(filename, content) {
|
||||
try {
|
||||
const res = await fetch("/api/wfm/wildcards/save", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ filename, content }),
|
||||
});
|
||||
const data = await res.json();
|
||||
return data.status === "ok" ? data.file : null;
|
||||
} catch { return null; }
|
||||
}
|
||||
|
||||
async function wcDeleteFile(filename) {
|
||||
try {
|
||||
await fetch("/api/wfm/wildcards/delete", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ filename }),
|
||||
});
|
||||
} catch { /* ignore */ }
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// Wildcard state & helpers
|
||||
// ============================================
|
||||
|
||||
let wcFiles = [];
|
||||
let wcEditingFilename = null; // null = new file
|
||||
|
||||
// Insert text at cursor; if open+close provided wraps selection
|
||||
function wcInsertAtCursor(textarea, open, close = "") {
|
||||
const start = textarea.selectionStart;
|
||||
const end = textarea.selectionEnd;
|
||||
const selected = textarea.value.substring(start, end);
|
||||
let inserted, cursorStart, cursorEnd;
|
||||
|
||||
if (selected && close) {
|
||||
inserted = open + selected + close;
|
||||
cursorStart = start + open.length;
|
||||
cursorEnd = cursorStart + selected.length;
|
||||
} else if (close) {
|
||||
inserted = open + close;
|
||||
cursorStart = start + open.length;
|
||||
cursorEnd = cursorStart;
|
||||
} else {
|
||||
inserted = open;
|
||||
cursorStart = start + open.length;
|
||||
cursorEnd = cursorStart;
|
||||
}
|
||||
|
||||
textarea.value =
|
||||
textarea.value.substring(0, start) +
|
||||
inserted +
|
||||
textarea.value.substring(end);
|
||||
textarea.setSelectionRange(cursorStart, cursorEnd);
|
||||
textarea.focus();
|
||||
textarea.dispatchEvent(new Event("input"));
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// Wildcard file list rendering
|
||||
// ============================================
|
||||
|
||||
function wcRenderFileList() {
|
||||
const list = document.getElementById("wfm-wc-file-list");
|
||||
if (!list) return;
|
||||
list.innerHTML = "";
|
||||
|
||||
if (wcFiles.length === 0) {
|
||||
list.innerHTML = `<div class="wfm-pm-empty" style="font-size:12px;">No wildcard files yet.<br><small>Click "+ New" to create one.</small></div>`;
|
||||
return;
|
||||
}
|
||||
|
||||
// Group by directory; root ("") first, then alphabetical
|
||||
const grouped = {};
|
||||
for (const f of wcFiles) {
|
||||
const dir = f.dir || "";
|
||||
if (!grouped[dir]) grouped[dir] = [];
|
||||
grouped[dir].push(f);
|
||||
}
|
||||
const dirs = Object.keys(grouped).sort((a, b) => {
|
||||
if (a === "") return -1;
|
||||
if (b === "") return 1;
|
||||
return a.localeCompare(b);
|
||||
});
|
||||
|
||||
function addFileItem(f, indented) {
|
||||
const item = document.createElement("div");
|
||||
item.className = "wfm-wc-file-item" + (indented ? " wfm-wc-file-item--sub" : "");
|
||||
item.innerHTML = `
|
||||
<div class="wfm-wc-file-item-info">
|
||||
<span class="wfm-wc-file-name">${esc(f.name)}</span>
|
||||
<span class="wfm-wc-file-ext">.${esc(f.ext)}</span>
|
||||
</div>
|
||||
<div class="wfm-wc-file-item-actions">
|
||||
<button class="wfm-pm-action-btn wfm-wc-use-btn" title="Insert __${esc(f.wc_name)}__ at cursor">Use</button>
|
||||
<button class="wfm-pm-action-btn wfm-wc-edit-btn" title="Edit file">✎</button>
|
||||
</div>
|
||||
`;
|
||||
item.querySelector(".wfm-wc-use-btn").addEventListener("click", (e) => {
|
||||
e.stopPropagation();
|
||||
const ta = document.getElementById("wfm-wc-prompt");
|
||||
if (ta) wcInsertAtCursor(ta, `__${f.wc_name}__`);
|
||||
});
|
||||
item.querySelector(".wfm-wc-edit-btn").addEventListener("click", async (e) => {
|
||||
e.stopPropagation();
|
||||
const content = await wcFetchContent(f.filename);
|
||||
wcOpenEditor(f.wc_name, f.ext, content ?? "", f.filename);
|
||||
});
|
||||
item.addEventListener("click", () => {
|
||||
const ta = document.getElementById("wfm-wc-prompt");
|
||||
if (ta) wcInsertAtCursor(ta, `__${f.wc_name}__`);
|
||||
});
|
||||
list.appendChild(item);
|
||||
}
|
||||
|
||||
for (const dir of dirs) {
|
||||
if (dir) {
|
||||
const header = document.createElement("div");
|
||||
header.className = "wfm-wc-dir-header";
|
||||
header.textContent = dir + "/";
|
||||
list.appendChild(header);
|
||||
}
|
||||
for (const f of grouped[dir]) {
|
||||
addFileItem(f, dir !== "");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// Wildcard file editor
|
||||
// ============================================
|
||||
|
||||
function wcOpenEditor(name, ext, content, existingFilename) {
|
||||
wcEditingFilename = existingFilename || null;
|
||||
|
||||
const editor = document.getElementById("wfm-wc-editor");
|
||||
const nameInput = document.getElementById("wfm-wc-editor-name");
|
||||
const extSelect = document.getElementById("wfm-wc-editor-ext");
|
||||
const contentTA = document.getElementById("wfm-wc-editor-content");
|
||||
const deleteBtn = document.getElementById("wfm-wc-editor-delete-btn");
|
||||
|
||||
if (!editor) return;
|
||||
nameInput.value = name || "";
|
||||
extSelect.value = ext || "txt";
|
||||
contentTA.value = content || "";
|
||||
deleteBtn.style.display = existingFilename ? "" : "none";
|
||||
editor.style.display = "";
|
||||
nameInput.focus();
|
||||
}
|
||||
|
||||
function wcCloseEditor() {
|
||||
wcEditingFilename = null;
|
||||
const editor = document.getElementById("wfm-wc-editor");
|
||||
if (editor) editor.style.display = "none";
|
||||
}
|
||||
|
||||
async function wcRefreshFiles() {
|
||||
wcFiles = await wcFetchFiles();
|
||||
wcRenderFileList();
|
||||
wcUpdateFilePicker();
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// Wildcard file picker popup
|
||||
// ============================================
|
||||
|
||||
function wcUpdateFilePicker() {
|
||||
const picker = document.getElementById("wfm-wc-file-picker");
|
||||
if (!picker) return;
|
||||
picker.innerHTML = "";
|
||||
if (wcFiles.length === 0) {
|
||||
picker.innerHTML = `<div style="padding:8px;font-size:11px;color:var(--wfm-text-secondary);">No wildcard files</div>`;
|
||||
return;
|
||||
}
|
||||
// Group by directory same as file list
|
||||
const grouped = {};
|
||||
for (const f of wcFiles) {
|
||||
const dir = f.dir || "";
|
||||
if (!grouped[dir]) grouped[dir] = [];
|
||||
grouped[dir].push(f);
|
||||
}
|
||||
const dirs = Object.keys(grouped).sort((a, b) => {
|
||||
if (a === "") return -1;
|
||||
if (b === "") return 1;
|
||||
return a.localeCompare(b);
|
||||
});
|
||||
for (const dir of dirs) {
|
||||
if (dir) {
|
||||
const sep = document.createElement("div");
|
||||
sep.className = "wfm-wc-picker-dir";
|
||||
sep.textContent = dir + "/";
|
||||
picker.appendChild(sep);
|
||||
}
|
||||
for (const f of grouped[dir]) {
|
||||
const btn = document.createElement("button");
|
||||
btn.className = "wfm-wc-picker-item" + (dir ? " wfm-wc-picker-item--sub" : "");
|
||||
btn.textContent = `__${f.wc_name}__`;
|
||||
btn.addEventListener("click", () => {
|
||||
const ta = document.getElementById("wfm-wc-prompt");
|
||||
if (ta) wcInsertAtCursor(ta, `__${f.wc_name}__`);
|
||||
picker.style.display = "none";
|
||||
});
|
||||
picker.appendChild(btn);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// Initialize
|
||||
// ============================================
|
||||
@@ -853,4 +1080,157 @@ export function initPromptTab() {
|
||||
pmSearchText = e.target.value.trim();
|
||||
renderPresetManager();
|
||||
});
|
||||
|
||||
// ── Center column tab switching ──────────────────────────
|
||||
document.querySelectorAll(".wfm-prompt-center-tab").forEach(btn => {
|
||||
btn.addEventListener("click", () => {
|
||||
const target = btn.dataset.ptab;
|
||||
document.querySelectorAll(".wfm-prompt-center-tab").forEach(b => b.classList.remove("active"));
|
||||
btn.classList.add("active");
|
||||
document.querySelectorAll(".wfm-prompt-center-pane").forEach(p => {
|
||||
p.style.display = p.id === `wfm-ptab-${target}` ? "" : "none";
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
// ── Wildcard syntax buttons ──────────────────────────────
|
||||
document.querySelectorAll(".wfm-wc-btn[data-wc-open]").forEach(btn => {
|
||||
btn.addEventListener("click", () => {
|
||||
const ta = document.getElementById("wfm-wc-prompt");
|
||||
if (!ta) return;
|
||||
const open = btn.dataset.wcOpen || "";
|
||||
const close = btn.dataset.wcClose || "";
|
||||
wcInsertAtCursor(ta, open, close);
|
||||
});
|
||||
});
|
||||
|
||||
// LoRA LBW template button
|
||||
document.getElementById("wfm-wc-lora-btn")?.addEventListener("click", () => {
|
||||
const ta = document.getElementById("wfm-wc-prompt");
|
||||
if (!ta) return;
|
||||
wcInsertAtCursor(ta, "<lora::1:LBW=;>");
|
||||
// Move cursor to after "lora:" for the name
|
||||
const pos = ta.selectionStart - "<lora::1:LBW=;>".length + 6;
|
||||
ta.setSelectionRange(pos, pos);
|
||||
ta.focus();
|
||||
});
|
||||
|
||||
// n$${ } button — asks for n then inserts multi-pick template
|
||||
document.getElementById("wfm-wc-nset-btn")?.addEventListener("click", () => {
|
||||
const ta = document.getElementById("wfm-wc-prompt");
|
||||
if (!ta) return;
|
||||
const n = prompt("Number of items to pick (n):", "2");
|
||||
if (n === null) return;
|
||||
const num = parseInt(n, 10);
|
||||
if (isNaN(num) || num < 1) { showToast("Enter a positive integer", "error"); return; }
|
||||
const template = "{" + num + "$$|}";
|
||||
const start = ta.selectionStart;
|
||||
wcInsertAtCursor(ta, template);
|
||||
// Move cursor between $$ and |
|
||||
const inner = start + ("{" + num + "$$").length;
|
||||
ta.setSelectionRange(inner, inner);
|
||||
ta.focus();
|
||||
});
|
||||
|
||||
// File picker toggle
|
||||
const filePickBtn = document.getElementById("wfm-wc-filepick-btn");
|
||||
const filePicker = document.getElementById("wfm-wc-file-picker");
|
||||
filePickBtn?.addEventListener("click", (e) => {
|
||||
e.stopPropagation();
|
||||
if (!filePicker) return;
|
||||
const isOpen = filePicker.style.display !== "none";
|
||||
filePicker.style.display = isOpen ? "none" : "";
|
||||
if (!isOpen) wcUpdateFilePicker();
|
||||
});
|
||||
document.addEventListener("click", () => {
|
||||
if (filePicker) filePicker.style.display = "none";
|
||||
});
|
||||
|
||||
// ── Wildcard prompt actions ──────────────────────────────
|
||||
document.getElementById("wfm-wc-copy-btn")?.addEventListener("click", () => {
|
||||
const ta = document.getElementById("wfm-wc-prompt");
|
||||
const text = ta?.value || "";
|
||||
if (!text.trim()) { showToast(t("noTextToCopy"), "error"); return; }
|
||||
navigator.clipboard.writeText(text).then(() => showToast(t("copiedToClipboard"), "success"));
|
||||
});
|
||||
|
||||
document.getElementById("wfm-wc-to-pos-btn")?.addEventListener("click", () => {
|
||||
const src = document.getElementById("wfm-wc-prompt");
|
||||
const dst = document.getElementById("wfm-preset-pos");
|
||||
if (!src || !dst) return;
|
||||
dst.value = src.value;
|
||||
dst.dispatchEvent(new Event("input", { bubbles: true }));
|
||||
showToast("Sent to Positive Prompt", "success");
|
||||
});
|
||||
|
||||
document.getElementById("wfm-wc-to-neg-btn")?.addEventListener("click", () => {
|
||||
const src = document.getElementById("wfm-wc-prompt");
|
||||
const dst = document.getElementById("wfm-preset-neg");
|
||||
if (!src || !dst) return;
|
||||
dst.value = src.value;
|
||||
dst.dispatchEvent(new Event("input", { bubbles: true }));
|
||||
showToast("Sent to Negative Prompt", "success");
|
||||
});
|
||||
|
||||
document.getElementById("wfm-wc-clear-btn")?.addEventListener("click", () => {
|
||||
const ta = document.getElementById("wfm-wc-prompt");
|
||||
if (ta) { ta.value = ""; ta.focus(); }
|
||||
});
|
||||
|
||||
// ── Wildcard file manager ────────────────────────────────
|
||||
document.getElementById("wfm-wc-new-file-btn")?.addEventListener("click", () => {
|
||||
wcOpenEditor("", "txt", "", null);
|
||||
});
|
||||
|
||||
document.getElementById("wfm-wc-files-refresh-btn")?.addEventListener("click", () => {
|
||||
wcRefreshFiles();
|
||||
});
|
||||
|
||||
// Editor: save
|
||||
document.getElementById("wfm-wc-editor-save-btn")?.addEventListener("click", async () => {
|
||||
const nameInput = document.getElementById("wfm-wc-editor-name");
|
||||
const extSelect = document.getElementById("wfm-wc-editor-ext");
|
||||
const contentTA = document.getElementById("wfm-wc-editor-content");
|
||||
|
||||
// Normalize separators and strip leading/trailing slashes
|
||||
const rawName = (nameInput?.value || "").trim().replace(/\\/g, "/").replace(/\/+/g, "/").replace(/^\/|\/$/g, "");
|
||||
const ext = extSelect?.value || "txt";
|
||||
const content = contentTA?.value || "";
|
||||
|
||||
if (!rawName) { showToast("Enter a filename", "error"); return; }
|
||||
// Validate each path component (allow letters, numbers, -, _, ., space)
|
||||
const nameParts = rawName.split("/");
|
||||
if (nameParts.some(p => !p || !/^[\w\-. ]+$/.test(p))) {
|
||||
showToast("Invalid path. Use folder/name format, each part: letters, numbers, -, _, . only", "error");
|
||||
return;
|
||||
}
|
||||
const name = rawName;
|
||||
const filename = `${name}.${ext}`;
|
||||
const saved = await wcSaveFile(filename, content);
|
||||
if (saved) {
|
||||
showToast(`Saved: ${filename}`, "success");
|
||||
wcCloseEditor();
|
||||
wcRefreshFiles();
|
||||
} else {
|
||||
showToast("Failed to save file", "error");
|
||||
}
|
||||
});
|
||||
|
||||
// Editor: delete
|
||||
document.getElementById("wfm-wc-editor-delete-btn")?.addEventListener("click", async () => {
|
||||
if (!wcEditingFilename) return;
|
||||
if (!confirm(`Delete "${wcEditingFilename}"?`)) return;
|
||||
await wcDeleteFile(wcEditingFilename);
|
||||
showToast(`Deleted: ${wcEditingFilename}`, "success");
|
||||
wcCloseEditor();
|
||||
wcRefreshFiles();
|
||||
});
|
||||
|
||||
// Editor: cancel
|
||||
document.getElementById("wfm-wc-editor-cancel-btn")?.addEventListener("click", () => {
|
||||
wcCloseEditor();
|
||||
});
|
||||
|
||||
// Initial wildcard file load
|
||||
wcRefreshFiles();
|
||||
}
|
||||
|
||||
@@ -314,6 +314,30 @@ function clearCustomOverrides() {
|
||||
if (fontEl) fontEl.remove();
|
||||
}
|
||||
|
||||
const TEXTAREA_FONT_SIZE_DEFAULT = 13;
|
||||
const TEXTAREA_FONT_SIZE_STYLE_ID = "wfm-ta-font-size-style";
|
||||
const TEXTAREA_FONT_SIZE_TARGETS = [
|
||||
"#wfm-prompt-pos-text",
|
||||
"#wfm-prompt-neg-text",
|
||||
"#wfm-ollama-input",
|
||||
"#wfm-preset-pos",
|
||||
"#wfm-preset-neg",
|
||||
"#wfm-wc-prompt",
|
||||
"#wfm-wc-editor-content",
|
||||
"#wfm-meta-prompt-full",
|
||||
].join(",\n ");
|
||||
|
||||
export function applyTextareaFontSize(size) {
|
||||
const px = Math.max(10, Math.min(28, parseInt(size) || TEXTAREA_FONT_SIZE_DEFAULT));
|
||||
let el = document.getElementById(TEXTAREA_FONT_SIZE_STYLE_ID);
|
||||
if (!el) {
|
||||
el = document.createElement("style");
|
||||
el.id = TEXTAREA_FONT_SIZE_STYLE_ID;
|
||||
document.head.appendChild(el);
|
||||
}
|
||||
el.textContent = `${TEXTAREA_FONT_SIZE_TARGETS} { font-size: ${px}px !important; }`;
|
||||
}
|
||||
|
||||
export function applyTheme(themeId) {
|
||||
if (themeId) {
|
||||
document.documentElement.setAttribute("data-theme", themeId);
|
||||
@@ -485,6 +509,24 @@ export async function initSettingsTab() {
|
||||
</div>
|
||||
</details>
|
||||
|
||||
<!-- Text Size -->
|
||||
<details class="wfm-settings-section" open>
|
||||
<summary class="wfm-settings-summary">${t("textSizeLabel") || "Text Size"}</summary>
|
||||
<div class="wfm-form-group">
|
||||
<label style="display:flex;align-items:center;justify-content:space-between;">
|
||||
<span>${t("textSizeTextarea") || "Prompt / Chat Textarea"}</span>
|
||||
<span id="wfm-ta-font-size-val" style="font-size:12px;color:var(--wfm-text-secondary);">${settings.textareaFontSize || TEXTAREA_FONT_SIZE_DEFAULT}px</span>
|
||||
</label>
|
||||
<input type="range" class="wfm-range" id="wfm-ta-font-size"
|
||||
min="10" max="28" step="1"
|
||||
value="${settings.textareaFontSize || TEXTAREA_FONT_SIZE_DEFAULT}"
|
||||
style="width:100%;margin-top:4px;">
|
||||
<small style="color:var(--wfm-text-secondary);font-size:11px;display:block;margin-top:4px;">
|
||||
${t("textSizeHint") || "Applies to: Generate UI prompts, AI Assistant chat, Preset prompts, Wildcard textarea, Metadata prompt preview"}
|
||||
</small>
|
||||
</div>
|
||||
</details>
|
||||
|
||||
<!-- Workflow Data Folder -->
|
||||
<details class="wfm-settings-section">
|
||||
<summary class="wfm-settings-summary">${t("workflowsDir")}</summary>
|
||||
@@ -620,6 +662,12 @@ export async function initSettingsTab() {
|
||||
<div id="wfm-settings-data-status" style="font-size:12px;margin-top:8px;"></div>
|
||||
</details>
|
||||
|
||||
<!-- Wildcard Integration -->
|
||||
<details class="wfm-settings-section" id="wfm-wildcard-integration-section">
|
||||
<summary class="wfm-settings-summary">Wildcard Integration</summary>
|
||||
<div id="wfm-wildcard-link-status" style="font-size:13px;color:var(--wfm-text-secondary);">Loading...</div>
|
||||
</details>
|
||||
|
||||
<!-- Save Button -->
|
||||
<button class="wfm-btn wfm-btn-primary" id="wfm-settings-save" style="min-width:120px;">${t("saveSettings")}</button>
|
||||
|
||||
@@ -1026,8 +1074,17 @@ export async function initSettingsTab() {
|
||||
showToast(t("defaultWorkflowCleared"), "success");
|
||||
});
|
||||
|
||||
// --- Textarea font size slider ---
|
||||
document.getElementById("wfm-ta-font-size")?.addEventListener("input", (e) => {
|
||||
const px = parseInt(e.target.value);
|
||||
const valEl = document.getElementById("wfm-ta-font-size-val");
|
||||
if (valEl) valEl.textContent = `${px}px`;
|
||||
applyTextareaFontSize(px);
|
||||
});
|
||||
|
||||
// Save (local settings)
|
||||
document.getElementById("wfm-settings-save")?.addEventListener("click", () => {
|
||||
const taFontSize = parseInt(document.getElementById("wfm-ta-font-size")?.value) || TEXTAREA_FONT_SIZE_DEFAULT;
|
||||
const patch = {
|
||||
comfyuiUrl: document.getElementById("wfm-settings-comfyui-url")?.value.trim() || "",
|
||||
eagleUrl: document.getElementById("wfm-settings-eagle-url")?.value.trim() || "http://localhost:41595",
|
||||
@@ -1035,6 +1092,7 @@ export async function initSettingsTab() {
|
||||
uiLang: getLang(),
|
||||
summaryLang: getSummaryLang(),
|
||||
theme: document.documentElement.getAttribute("data-theme") || "",
|
||||
textareaFontSize: taFontSize,
|
||||
};
|
||||
|
||||
saveLocalSettings(patch);
|
||||
@@ -1051,6 +1109,89 @@ export async function initSettingsTab() {
|
||||
comfyUI.updateUrl(savedUrl);
|
||||
}
|
||||
|
||||
// --- Wildcard Integration ---
|
||||
async function wcLoadLinkStatus() {
|
||||
const el = document.getElementById("wfm-wildcard-link-status");
|
||||
if (!el) return;
|
||||
try {
|
||||
const res = await fetch("/api/wfm/wildcards/link-status");
|
||||
const data = await res.json();
|
||||
wcRenderLinkStatus(el, data);
|
||||
} catch (e) {
|
||||
el.innerHTML = `<span style="color:var(--wfm-error,#f44336)">Error: ${e.message}</span>`;
|
||||
}
|
||||
}
|
||||
|
||||
function wcRenderLinkStatus(el, data) {
|
||||
if (!data.impact_pack_installed) {
|
||||
el.innerHTML = `
|
||||
<p style="margin:0 0 8px;">ComfyUI-Impact-Pack がインストールされていません。</p>
|
||||
<p style="margin:0;font-size:12px;color:var(--wfm-text-secondary);">
|
||||
ワイルドカードを Impact Pack と共有するには、先に
|
||||
<a href="https://github.com/ltdrdata/ComfyUI-Impact-Pack" target="_blank" rel="noopener"
|
||||
style="color:var(--wfm-accent);">ComfyUI-Impact-Pack</a>
|
||||
をインストールしてください。
|
||||
</p>`;
|
||||
return;
|
||||
}
|
||||
|
||||
if (data.is_linked) {
|
||||
el.innerHTML = `
|
||||
<p style="margin:0 0 4px;color:var(--wfm-success,#4caf50);">✓ リンク済み</p>
|
||||
<p style="margin:0 0 8px;font-size:12px;color:var(--wfm-text-secondary);">
|
||||
WFS wildcard → ${data.link_target || data.impact_pack_wildcards_dir}
|
||||
</p>
|
||||
<button class="wfm-btn wfm-btn-sm wfm-btn-danger" id="wfm-wc-remove-link">リンクを解除</button>
|
||||
<div id="wfm-wc-link-msg" style="font-size:12px;margin-top:8px;"></div>`;
|
||||
document.getElementById("wfm-wc-remove-link")?.addEventListener("click", async () => {
|
||||
const msg = document.getElementById("wfm-wc-link-msg");
|
||||
try {
|
||||
const r = await fetch("/api/wfm/wildcards/remove-link", { method: "POST" });
|
||||
const d = await r.json();
|
||||
if (!r.ok) throw new Error(d.error || r.statusText);
|
||||
msg.textContent = "リンクを解除しました。";
|
||||
msg.style.color = "var(--wfm-success,#4caf50)";
|
||||
setTimeout(wcLoadLinkStatus, 800);
|
||||
} catch (e) {
|
||||
msg.textContent = "エラー: " + e.message;
|
||||
msg.style.color = "var(--wfm-error,#f44336)";
|
||||
}
|
||||
});
|
||||
} else {
|
||||
el.innerHTML = `
|
||||
<p style="margin:0 0 4px;">Impact Pack wildcards ディレクトリ:</p>
|
||||
<p style="margin:0 0 8px;font-size:12px;color:var(--wfm-text-secondary);">${data.impact_pack_wildcards_dir}</p>
|
||||
<p style="margin:0 0 8px;font-size:12px;color:var(--wfm-text-secondary);">
|
||||
WFS の wildcard ディレクトリを Impact Pack の wildcards ディレクトリへのリンクに置き換えます。
|
||||
既存の WFS ワイルドカードファイルは Impact Pack ディレクトリへ移行されます。
|
||||
</p>
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-wc-create-link">リンクを作成</button>
|
||||
<div id="wfm-wc-link-msg" style="font-size:12px;margin-top:8px;"></div>`;
|
||||
document.getElementById("wfm-wc-create-link")?.addEventListener("click", async () => {
|
||||
const msg = document.getElementById("wfm-wc-link-msg");
|
||||
try {
|
||||
const r = await fetch("/api/wfm/wildcards/create-link", { method: "POST" });
|
||||
const d = await r.json();
|
||||
if (!r.ok) throw new Error(d.error || r.statusText);
|
||||
const migrated = d.migrated_files?.length
|
||||
? ` (移行: ${d.migrated_files.join(", ")})`
|
||||
: "";
|
||||
msg.textContent = "リンクを作成しました。" + migrated;
|
||||
msg.style.color = "var(--wfm-success,#4caf50)";
|
||||
setTimeout(wcLoadLinkStatus, 800);
|
||||
} catch (e) {
|
||||
msg.textContent = "エラー: " + e.message;
|
||||
msg.style.color = "var(--wfm-error,#f44336)";
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Load wildcard link status when section is opened
|
||||
document.getElementById("wfm-wildcard-integration-section")?.addEventListener("toggle", (e) => {
|
||||
if (e.target.open) wcLoadLinkStatus();
|
||||
});
|
||||
|
||||
// --- Data Export ---
|
||||
document.getElementById("wfm-settings-export")?.addEventListener("click", async () => {
|
||||
const statusEl = document.getElementById("wfm-settings-data-status");
|
||||
|
||||
+377
-55
@@ -20,6 +20,7 @@
|
||||
<button class="wfm-tab" data-tab="models">Models</button>
|
||||
<button class="wfm-tab" data-tab="generate">GenerateUI</button>
|
||||
<button class="wfm-tab" data-tab="prompt">Prompt</button>
|
||||
<button class="wfm-tab" data-tab="metadata">Metadata</button>
|
||||
<button class="wfm-tab" data-tab="gallery">Gallery</button>
|
||||
<button class="wfm-tab" data-tab="settings">Settings</button>
|
||||
<button class="wfm-tab" data-tab="help">Help</button>
|
||||
@@ -264,6 +265,7 @@
|
||||
<button class="wfm-gen-subtab-btn active" data-subtab="input">Input</button>
|
||||
<button class="wfm-gen-subtab-btn" data-subtab="model">Model</button>
|
||||
<button class="wfm-gen-subtab-btn" data-subtab="settings">Settings</button>
|
||||
<button class="wfm-gen-subtab-btn" data-subtab="feeder">Feeder</button>
|
||||
</div>
|
||||
|
||||
<!-- Tab: Input — left sub-col: Prompt(top)+Image(bottom), right sub-col: Raw JSON -->
|
||||
@@ -310,6 +312,121 @@
|
||||
<div class="wfm-gen-rawjson-col" id="wfm-gen-rawjson-col-settings"></div>
|
||||
</div>
|
||||
</div>
|
||||
<!-- Tab: Feeder — full-width: settings(left) + library(center) -->
|
||||
<div id="wfm-gen-subtab-feeder" class="wfm-gen-subtab-content">
|
||||
<div class="wfm-feeder-layout">
|
||||
<!-- Left: Node selector + params + presets -->
|
||||
<div class="wfm-feeder-settings">
|
||||
<div class="wfm-feeder-pane-header">ImageFeeder Node</div>
|
||||
<div style="display:flex;gap:6px;align-items:center;margin-bottom:8px;">
|
||||
<select id="wfm-feeder-node-sel" class="wfm-select" style="flex:1;min-width:0;"></select>
|
||||
<button id="wfm-feeder-apply-btn" class="wfm-btn wfm-btn-primary" style="white-space:nowrap;">Apply</button>
|
||||
</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">Directory</label>
|
||||
<input type="text" id="wfm-feeder-dir-input" class="wfm-input wfm-feeder-input" placeholder="e.g. subdir">
|
||||
</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">Sort Mode</label>
|
||||
<select id="wfm-feeder-sort" class="wfm-select wfm-feeder-input">
|
||||
<option value="ascending">ascending</option>
|
||||
<option value="descending">descending</option>
|
||||
<option value="random">random</option>
|
||||
</select>
|
||||
</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">Index</label>
|
||||
<input type="number" id="wfm-feeder-index" class="wfm-input wfm-feeder-input" value="0" min="0">
|
||||
</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">Start Index</label>
|
||||
<input type="number" id="wfm-feeder-start" class="wfm-input wfm-feeder-input" value="0" min="0">
|
||||
</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">End Index</label>
|
||||
<input type="number" id="wfm-feeder-end" class="wfm-input wfm-feeder-input" value="0" min="0">
|
||||
</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">Batch Size</label>
|
||||
<input type="number" id="wfm-feeder-batch" class="wfm-input wfm-feeder-input" value="1" min="1">
|
||||
</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">Seed</label>
|
||||
<input type="number" id="wfm-feeder-seed" class="wfm-input wfm-feeder-input" value="0">
|
||||
</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">Use Selection</label>
|
||||
<input type="checkbox" id="wfm-feeder-use-sel" checked style="width:16px;height:16px;accent-color:var(--wfm-primary);">
|
||||
</div>
|
||||
|
||||
<div class="wfm-feeder-pane-header" style="margin-top:12px;">Presets</div>
|
||||
<div style="display:flex;gap:6px;margin-bottom:6px;">
|
||||
<input type="text" id="wfm-feeder-preset-name" class="wfm-input" style="flex:1;min-width:0;" placeholder="Preset name">
|
||||
<button id="wfm-feeder-preset-save" class="wfm-btn wfm-btn-sm" style="white-space:nowrap;">Save</button>
|
||||
</div>
|
||||
<div style="display:flex;gap:6px;">
|
||||
<select id="wfm-feeder-preset-sel" class="wfm-select" style="flex:1;min-width:0;"></select>
|
||||
<button id="wfm-feeder-preset-load" class="wfm-btn wfm-btn-sm wfm-btn-primary" style="white-space:nowrap;">Load</button>
|
||||
<button id="wfm-feeder-preset-del" class="wfm-btn wfm-btn-sm wfm-btn-danger" style="white-space:nowrap;">Del</button>
|
||||
</div>
|
||||
|
||||
<div class="wfm-feeder-pane-header" style="margin-top:12px;">Run</div>
|
||||
<div class="wfm-feeder-field-row">
|
||||
<label class="wfm-feeder-label">After gen</label>
|
||||
<select id="wfm-feeder-control-after" class="wfm-select wfm-feeder-input">
|
||||
<option value="loop">Loop</option>
|
||||
<option value="increment">Increment</option>
|
||||
<option value="fixed">Fixed</option>
|
||||
</select>
|
||||
</div>
|
||||
<div style="display:flex;gap:8px;margin-top:4px;">
|
||||
<button id="wfm-feeder-run-btn" class="wfm-btn wfm-btn-primary" style="flex:1;">▶ Run</button>
|
||||
<button id="wfm-feeder-stop-btn" class="wfm-btn wfm-btn-danger" style="flex:1;" disabled>■ Stop</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Center: Image Library -->
|
||||
<div class="wfm-feeder-library">
|
||||
<!-- Status bar -->
|
||||
<div id="wfm-feeder-status" class="wfm-feeder-status-bar">Select a folder</div>
|
||||
|
||||
<div class="wfm-feeder-library-body">
|
||||
<!-- Folder tree -->
|
||||
<div class="wfm-feeder-tree-pane">
|
||||
<div class="wfm-feeder-pane-header" style="display:flex;align-items:center;justify-content:space-between;">
|
||||
<span>Folders</span>
|
||||
<button id="wfm-feeder-reload-tree" class="wfm-btn wfm-btn-sm" title="Reload">↺</button>
|
||||
</div>
|
||||
<div id="wfm-feeder-tree" class="wfm-feeder-tree-scroll">
|
||||
<div class="wfm-feeder-tree-msg">Loading...</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Image grid -->
|
||||
<div class="wfm-feeder-grid-pane">
|
||||
<div class="wfm-feeder-pane-header" style="display:flex;align-items:center;justify-content:space-between;">
|
||||
<span>Images</span>
|
||||
<div style="display:flex;gap:4px;">
|
||||
<button id="wfm-feeder-sel-all" class="wfm-btn wfm-btn-sm">All</button>
|
||||
<button id="wfm-feeder-desel-all" class="wfm-btn wfm-btn-sm">None</button>
|
||||
</div>
|
||||
</div>
|
||||
<div id="wfm-feeder-grid" class="wfm-feeder-grid">
|
||||
<div class="wfm-feeder-grid-msg">Select a folder</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Preview -->
|
||||
<div class="wfm-feeder-preview-pane">
|
||||
<div class="wfm-feeder-pane-header">Preview</div>
|
||||
<img id="wfm-feeder-preview-img" class="wfm-feeder-preview-img" style="display:none;" alt="">
|
||||
<div id="wfm-feeder-preview-name" class="wfm-feeder-preview-name"></div>
|
||||
<pre id="wfm-feeder-preview-info" class="wfm-feeder-preview-info"></pre>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Right Column: Generation Controls & Results -->
|
||||
@@ -352,12 +469,23 @@
|
||||
</div>
|
||||
<div id="wfm-ckpt-batch-body" style="display:none;margin-top:8px;">
|
||||
<div style="margin-bottom:6px;">
|
||||
<div style="font-size:11px;color:var(--wfm-text-secondary);margin-bottom:3px;">Include Folders (empty = all, comma-separated)</div>
|
||||
<input type="text" id="wfm-ckpt-batch-include" class="wfm-input" placeholder="e.g. sdxl, flux">
|
||||
</div>
|
||||
<div style="margin-bottom:6px;">
|
||||
<div style="font-size:11px;color:var(--wfm-text-secondary);margin-bottom:3px;">Exclude Folders (comma-separated)</div>
|
||||
<input type="text" id="wfm-ckpt-batch-exclude" class="wfm-input" placeholder="e.g. old, test">
|
||||
<div style="font-size:11px;color:var(--wfm-text-secondary);margin-bottom:3px;">Checkpoints</div>
|
||||
<div class="wfm-ckpt-dropdown-wrap" id="wfm-ckpt-dropdown-wrap">
|
||||
<button type="button" id="wfm-ckpt-dropdown-btn" class="wfm-ckpt-dropdown-trigger">
|
||||
<span id="wfm-ckpt-dropdown-label">All checkpoints</span>
|
||||
<span class="wfm-ckpt-dropdown-arrow">▼</span>
|
||||
</button>
|
||||
<div id="wfm-ckpt-dropdown-panel" class="wfm-ckpt-dropdown-panel" style="display:none;">
|
||||
<div style="padding:6px 8px 4px;">
|
||||
<input type="text" id="wfm-ckpt-search" class="wfm-input" style="height:28px;padding:4px 8px;font-size:11px;" placeholder="Filter...">
|
||||
</div>
|
||||
<div style="display:flex;gap:4px;padding:0 8px 4px;">
|
||||
<button type="button" id="wfm-ckpt-select-all" class="wfm-btn wfm-btn-sm" style="flex:1;font-size:10px;">All</button>
|
||||
<button type="button" id="wfm-ckpt-deselect-all" class="wfm-btn wfm-btn-sm" style="flex:1;font-size:10px;">None</button>
|
||||
</div>
|
||||
<div id="wfm-ckpt-list" class="wfm-ckpt-dropdown-list"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="wfm-ckpt-batch-info" style="font-size:11px;color:var(--wfm-text-secondary);"></div>
|
||||
<div id="wfm-ckpt-batch-progress" style="margin-top:8px;display:none;">
|
||||
@@ -368,6 +496,9 @@
|
||||
<div class="wfm-gen-progress-track">
|
||||
<div id="wfm-ckpt-batch-bar" class="wfm-gen-progress-bar" style="background:var(--wfm-warning,#f59e0b);"></div>
|
||||
</div>
|
||||
<div style="margin-top:6px;">
|
||||
<button id="wfm-ckpt-batch-pause-btn" class="wfm-btn wfm-btn-sm" style="width:100%;">Pause</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -386,8 +517,16 @@
|
||||
<span class="wfm-gen-rawjson-label">Raw JSON</span>
|
||||
<button id="wfm-gen-apply-raw-btn" class="wfm-btn wfm-btn-sm">Apply</button>
|
||||
</div>
|
||||
<div class="wfm-rawjson-search">
|
||||
<input type="text" id="wfm-gen-raw-search" class="wfm-rawjson-search-input" placeholder="Search...">
|
||||
<span id="wfm-gen-raw-search-count" class="wfm-rawjson-search-count"></span>
|
||||
<button id="wfm-gen-raw-search-prev" class="wfm-rawjson-search-btn" title="Previous match">↑</button>
|
||||
<button id="wfm-gen-raw-search-next" class="wfm-rawjson-search-btn" title="Next match">↓</button>
|
||||
<button id="wfm-gen-raw-search-clear" class="wfm-rawjson-search-btn wfm-rawjson-search-clear" title="Clear search">✕</button>
|
||||
</div>
|
||||
<div class="wfm-json-container wfm-gen-rawjson-editor">
|
||||
<pre id="wfm-gen-raw-json-highlight" class="wfm-json-highlight"></pre>
|
||||
<pre id="wfm-gen-raw-json-search-overlay" class="wfm-json-highlight wfm-json-search-overlay"></pre>
|
||||
<textarea id="wfm-gen-raw-json" class="wfm-json-editor" spellcheck="false" placeholder="Paste workflow JSON here..."></textarea>
|
||||
</div>
|
||||
</div>
|
||||
@@ -434,61 +573,209 @@
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Col 2: Preset Editor -->
|
||||
<!-- Col 2: Presets + Preset Manager (tabbed) -->
|
||||
<div class="wfm-prompt-split-col">
|
||||
<div class="wfm-prompt-split-header">Presets</div>
|
||||
<div class="wfm-preset-panel">
|
||||
<div style="display:flex;gap:6px;margin-bottom:10px;align-items:center;">
|
||||
<select id="wfm-preset-select" class="wfm-select" style="flex:1;">
|
||||
<option value="">New Preset (none selected)</option>
|
||||
</select>
|
||||
<button id="wfm-preset-apply-btn" class="wfm-btn wfm-btn-sm wfm-btn-primary">GenUI Set</button>
|
||||
<!-- Center column tab navigation -->
|
||||
<div class="wfm-prompt-center-tabnav">
|
||||
<button class="wfm-prompt-center-tab active" data-ptab="presets">Presets</button>
|
||||
<button class="wfm-prompt-center-tab" data-ptab="manager">Preset Manager</button>
|
||||
</div>
|
||||
|
||||
<!-- Presets pane -->
|
||||
<div id="wfm-ptab-presets" class="wfm-prompt-center-pane">
|
||||
<div class="wfm-preset-panel">
|
||||
<div style="display:flex;gap:6px;margin-bottom:10px;align-items:center;">
|
||||
<select id="wfm-preset-select" class="wfm-select" style="flex:1;">
|
||||
<option value="">New Preset (none selected)</option>
|
||||
</select>
|
||||
<button id="wfm-preset-apply-btn" class="wfm-btn wfm-btn-sm wfm-btn-primary">GenUI Set</button>
|
||||
</div>
|
||||
<div class="wfm-form-group">
|
||||
<label>Preset Name</label>
|
||||
<input type="text" id="wfm-preset-name" class="wfm-input" placeholder="Enter preset name...">
|
||||
</div>
|
||||
<div class="wfm-form-group">
|
||||
<label>Category</label>
|
||||
<input type="text" id="wfm-preset-category" class="wfm-input" placeholder="e.g. Portrait, Landscape...">
|
||||
</div>
|
||||
<div class="wfm-form-group" style="flex:1;min-height:0;display:flex;flex-direction:column;">
|
||||
<label>Positive Prompt</label>
|
||||
<textarea id="wfm-preset-pos" class="wfm-textarea" style="flex:1;" placeholder="Positive prompt..."></textarea>
|
||||
</div>
|
||||
<div class="wfm-form-group" style="flex:1;min-height:0;display:flex;flex-direction:column;">
|
||||
<label>Negative Prompt</label>
|
||||
<textarea id="wfm-preset-neg" class="wfm-textarea" style="flex:1;" placeholder="Negative prompt..."></textarea>
|
||||
</div>
|
||||
<div style="display:flex; gap:4px;">
|
||||
<button id="wfm-preset-copy-pos-btn" class="wfm-btn" style="flex:2;" title="Copy Positive Prompt">PP Copy</button>
|
||||
<button id="wfm-preset-copy-neg-btn" class="wfm-btn" style="flex:2;" title="Copy Negative Prompt">NP Copy</button>
|
||||
<button id="wfm-preset-save-btn" class="wfm-btn wfm-btn-primary" style="flex:1;">Save</button>
|
||||
</div>
|
||||
<div style="display:flex; gap:4px; margin-top:4px;">
|
||||
<select id="wfm-preset-group-select" class="wfm-select" style="flex:1;">
|
||||
<option value="">Select group...</option>
|
||||
</select>
|
||||
<button id="wfm-preset-add-to-group-btn" class="wfm-btn wfm-btn-sm">Add to Group</button>
|
||||
<button id="wfm-preset-new-group-btn" class="wfm-btn wfm-btn-sm">+ Group</button>
|
||||
<button id="wfm-preset-del-group-btn" class="wfm-btn wfm-btn-sm wfm-btn-danger" title="Delete selected group">Del Group</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="wfm-form-group">
|
||||
<label>Preset Name</label>
|
||||
<input type="text" id="wfm-preset-name" class="wfm-input" placeholder="Enter preset name...">
|
||||
</div>
|
||||
<div class="wfm-form-group">
|
||||
<label>Category</label>
|
||||
<input type="text" id="wfm-preset-category" class="wfm-input" placeholder="e.g. Portrait, Landscape...">
|
||||
</div>
|
||||
<div class="wfm-form-group" style="flex:1;min-height:0;display:flex;flex-direction:column;">
|
||||
<label>Positive Prompt</label>
|
||||
<textarea id="wfm-preset-pos" class="wfm-textarea" style="flex:1;" placeholder="Positive prompt..."></textarea>
|
||||
</div>
|
||||
<div class="wfm-form-group" style="flex:1;min-height:0;display:flex;flex-direction:column;">
|
||||
<label>Negative Prompt</label>
|
||||
<textarea id="wfm-preset-neg" class="wfm-textarea" style="flex:1;" placeholder="Negative prompt..."></textarea>
|
||||
</div>
|
||||
<div style="display:flex; gap:4px;">
|
||||
<button id="wfm-preset-copy-pos-btn" class="wfm-btn" style="flex:2;" title="Copy Positive Prompt">PP Copy</button>
|
||||
<button id="wfm-preset-copy-neg-btn" class="wfm-btn" style="flex:2;" title="Copy Negative Prompt">NP Copy</button>
|
||||
<button id="wfm-preset-save-btn" class="wfm-btn wfm-btn-primary" style="flex:1;">Save</button>
|
||||
</div>
|
||||
<div style="display:flex; gap:4px; margin-top:4px;">
|
||||
<select id="wfm-preset-group-select" class="wfm-select" style="flex:1;">
|
||||
<option value="">Select group...</option>
|
||||
</select>
|
||||
<button id="wfm-preset-add-to-group-btn" class="wfm-btn wfm-btn-sm">Add to Group</button>
|
||||
<button id="wfm-preset-new-group-btn" class="wfm-btn wfm-btn-sm">+ Group</button>
|
||||
<button id="wfm-preset-del-group-btn" class="wfm-btn wfm-btn-sm wfm-btn-danger" title="Delete selected group">Del Group</button>
|
||||
</div>
|
||||
|
||||
<!-- Preset Manager pane -->
|
||||
<div id="wfm-ptab-manager" class="wfm-prompt-center-pane" style="display:none;">
|
||||
<div class="wfm-preset-manager">
|
||||
<div class="wfm-pm-tabs">
|
||||
<button class="wfm-pm-tab active" data-pmtab="all">All</button>
|
||||
<button class="wfm-pm-tab" data-pmtab="favorites">★</button>
|
||||
<button class="wfm-pm-tab" data-pmtab="groups">Groups</button>
|
||||
</div>
|
||||
<div class="wfm-pm-search">
|
||||
<input type="text" id="wfm-pm-search-input" class="wfm-input" placeholder="Search presets...">
|
||||
</div>
|
||||
<div id="wfm-pm-list" class="wfm-pm-list"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Col 3: Preset Manager (list, favorites, groups) -->
|
||||
<!-- Col 3: Wildcard support -->
|
||||
<div class="wfm-prompt-split-col">
|
||||
<div class="wfm-prompt-split-header">Preset Manager</div>
|
||||
<div class="wfm-preset-manager">
|
||||
<div class="wfm-pm-tabs">
|
||||
<button class="wfm-pm-tab active" data-pmtab="all">All</button>
|
||||
<button class="wfm-pm-tab" data-pmtab="favorites">★</button>
|
||||
<button class="wfm-pm-tab" data-pmtab="groups">Groups</button>
|
||||
<div class="wfm-prompt-split-header">Wildcard</div>
|
||||
<div class="wfm-wc-panel">
|
||||
|
||||
<!-- Input assistance section -->
|
||||
<div class="wfm-wc-input-section">
|
||||
<!-- Wildcard syntax buttons -->
|
||||
<div class="wfm-wc-toolbar">
|
||||
<button class="wfm-wc-btn" data-wc-open="{" data-wc-close="}" title="Random pick set e.g. {cat|dog}">{ }</button>
|
||||
<button class="wfm-wc-btn" data-wc-open="|" title="Separator">|</button>
|
||||
<button class="wfm-wc-btn" data-wc-open="__" data-wc-close="__" title="Wildcard file reference e.g. __animals__">__</button>
|
||||
<button class="wfm-wc-btn" data-wc-open=":" title="Colon">:</button>
|
||||
<button class="wfm-wc-btn" data-wc-open=";" title="Semicolon">;</button>
|
||||
<button class="wfm-wc-btn" data-wc-open="$$" title="Multi-pick e.g. {2$$cat|dog|bird}">$$</button>
|
||||
<button class="wfm-wc-btn" data-wc-open="[" data-wc-close="]" title="Bracket set e.g. [cat|dog]">[ ]</button>
|
||||
<button class="wfm-wc-btn" id="wfm-wc-lora-btn" title="LoRA with LBW e.g. <lora:name:1:LBW=...;...>"><lora></button>
|
||||
<button class="wfm-wc-btn" id="wfm-wc-nset-btn" title="Multi-pick set e.g. {2$$cat|dog|bird}">n$${ }</button>
|
||||
<div class="wfm-wc-file-picker-wrap">
|
||||
<button class="wfm-wc-btn" id="wfm-wc-filepick-btn" title="Insert wildcard file reference">📂 File</button>
|
||||
<div id="wfm-wc-file-picker" class="wfm-wc-file-picker" style="display:none;"></div>
|
||||
</div>
|
||||
</div>
|
||||
<!-- Prompt textarea -->
|
||||
<textarea id="wfm-wc-prompt" class="wfm-textarea wfm-wc-prompt-ta" rows="4" placeholder="Compose wildcard prompt here... e.g. a photo of {cat|dog}, __colors__ background"></textarea>
|
||||
<!-- Action buttons -->
|
||||
<div class="wfm-wc-prompt-actions">
|
||||
<button id="wfm-wc-copy-btn" class="wfm-btn wfm-btn-sm">Copy</button>
|
||||
<button id="wfm-wc-to-pos-btn" class="wfm-btn wfm-btn-sm wfm-btn-primary" title="Send to Preset Positive Prompt">→ Pos</button>
|
||||
<button id="wfm-wc-to-neg-btn" class="wfm-btn wfm-btn-sm" title="Send to Preset Negative Prompt">→ Neg</button>
|
||||
<button id="wfm-wc-clear-btn" class="wfm-btn wfm-btn-sm" style="margin-left:auto;">Clear</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="wfm-pm-search">
|
||||
<input type="text" id="wfm-pm-search-input" class="wfm-input" placeholder="Search presets...">
|
||||
|
||||
<!-- Wildcard file manager section -->
|
||||
<div class="wfm-wc-files-section">
|
||||
<div class="wfm-wc-files-header">
|
||||
<span class="wfm-wc-files-title">Wildcard Files</span>
|
||||
<div style="display:flex;gap:4px;">
|
||||
<button id="wfm-wc-new-file-btn" class="wfm-btn wfm-btn-sm wfm-btn-primary">+ New</button>
|
||||
<button id="wfm-wc-files-refresh-btn" class="wfm-btn wfm-btn-sm" title="Reload file list">↻</button>
|
||||
</div>
|
||||
</div>
|
||||
<!-- File list -->
|
||||
<div id="wfm-wc-file-list" class="wfm-wc-file-list">
|
||||
<p class="wfm-placeholder" style="padding:12px;font-size:12px;">Loading...</p>
|
||||
</div>
|
||||
<!-- Editor (shown when a file is selected or New is clicked) -->
|
||||
<div id="wfm-wc-editor" class="wfm-wc-editor" style="display:none;">
|
||||
<div class="wfm-wc-editor-header">
|
||||
<input type="text" id="wfm-wc-editor-name" class="wfm-input" placeholder="name or folder/name" style="flex:1;min-width:0;">
|
||||
<select id="wfm-wc-editor-ext" class="wfm-select" style="width:70px;">
|
||||
<option value="txt">txt</option>
|
||||
<option value="yaml">yaml</option>
|
||||
</select>
|
||||
</div>
|
||||
<div class="wfm-wc-editor-hint">
|
||||
txt: one item per line | yaml: key: [item1, item2, ...]
|
||||
</div>
|
||||
<textarea id="wfm-wc-editor-content" class="wfm-textarea wfm-wc-editor-ta" rows="8" placeholder="one item per line (txt) or YAML format (yaml)"></textarea>
|
||||
<div class="wfm-wc-editor-actions">
|
||||
<button id="wfm-wc-editor-save-btn" class="wfm-btn wfm-btn-sm wfm-btn-primary">Save</button>
|
||||
<button id="wfm-wc-editor-delete-btn" class="wfm-btn wfm-btn-sm wfm-btn-danger" style="display:none;">Delete</button>
|
||||
<button id="wfm-wc-editor-cancel-btn" class="wfm-btn wfm-btn-sm" style="margin-left:auto;">Cancel</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- Metadata Tab -->
|
||||
<section id="wfm-tab-metadata" class="wfm-tab-content">
|
||||
<div class="wfm-metadata-layout">
|
||||
<!-- Col1: Drop zone + preview -->
|
||||
<div class="wfm-metadata-col1">
|
||||
<div class="wfm-metadata-drop-zone" id="wfm-meta-drop">
|
||||
<div class="wfm-meta-drop-label" id="wfm-meta-drop-label">
|
||||
<div class="wfm-meta-drop-main">Drop image / JSON</div>
|
||||
<div class="wfm-meta-drop-sub">PNG · WebP · JSON</div>
|
||||
</div>
|
||||
<img id="wfm-meta-preview-img" class="wfm-meta-preview-img" style="display:none;" alt="preview">
|
||||
</div>
|
||||
<div class="wfm-meta-file-info" id="wfm-meta-file-info"></div>
|
||||
<div class="wfm-meta-format-note" id="wfm-meta-format-note">
|
||||
<div class="wfm-meta-format-note-title" id="wfm-meta-format-note-title">Supported formats</div>
|
||||
<ul class="wfm-meta-format-list">
|
||||
<li id="wfm-meta-fmt-comfyui">ComfyUI — PNG / WebP / JSON</li>
|
||||
<li id="wfm-meta-fmt-sdwebui">SD WebUI / SD Forge — PNG (parameters)</li>
|
||||
<li id="wfm-meta-fmt-fooocus">Fooocus — PNG (fooocus_scheme)</li>
|
||||
</ul>
|
||||
<div class="wfm-meta-format-todo" id="wfm-meta-format-todo">Flux.2 / Qwen-Image / Z-Image subgraph workflows supported</div>
|
||||
</div>
|
||||
<input type="file" id="wfm-meta-file-input" accept="image/png,image/webp,.json,application/json" style="display:none;">
|
||||
</div>
|
||||
|
||||
<!-- Col2: Model info -->
|
||||
<div class="wfm-metadata-col2">
|
||||
<div class="wfm-meta-section" id="wfm-meta-ckpt-section">
|
||||
<div class="wfm-meta-section-title">Checkpoint</div>
|
||||
<div class="wfm-meta-list" id="wfm-meta-ckpt-list"></div>
|
||||
</div>
|
||||
<div class="wfm-meta-section" id="wfm-meta-vae-section">
|
||||
<div class="wfm-meta-section-title">VAE</div>
|
||||
<div class="wfm-meta-list" id="wfm-meta-vae-list"></div>
|
||||
</div>
|
||||
<div class="wfm-meta-section" id="wfm-meta-diff-section">
|
||||
<div class="wfm-meta-section-title">Diffusion Model</div>
|
||||
<div class="wfm-meta-list" id="wfm-meta-diff-list"></div>
|
||||
</div>
|
||||
<div class="wfm-meta-section" id="wfm-meta-te-section">
|
||||
<div class="wfm-meta-section-title">Text Encoder</div>
|
||||
<div class="wfm-meta-list" id="wfm-meta-te-list"></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Col3: LoRA + Prompt -->
|
||||
<div class="wfm-metadata-col3">
|
||||
<div class="wfm-meta-section" id="wfm-meta-lora-section">
|
||||
<div class="wfm-meta-section-title">LoRA</div>
|
||||
<div class="wfm-meta-list" id="wfm-meta-lora-list"></div>
|
||||
</div>
|
||||
<div class="wfm-meta-section wfm-meta-prompt-section" id="wfm-meta-prompt-section">
|
||||
<div class="wfm-meta-section-title">Prompt</div>
|
||||
<div class="wfm-meta-list" id="wfm-meta-prompt-list"></div>
|
||||
<div class="wfm-meta-prompt-full-wrap">
|
||||
<div class="wfm-meta-prompt-full-label" id="wfm-meta-prompt-full-label"></div>
|
||||
<textarea class="wfm-meta-prompt-full" id="wfm-meta-prompt-full" readonly placeholder="Select a prompt above to view full text..."></textarea>
|
||||
<div class="wfm-meta-prompt-actions">
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-meta-copy-btn">Copy</button>
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-meta-genui-pos-btn">GenUI:P</button>
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-meta-genui-neg-btn">GenUI:N</button>
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-meta-preset-pos-btn">Prompt:P</button>
|
||||
<button class="wfm-btn wfm-btn-sm" id="wfm-meta-preset-neg-btn">Prompt:N</button>
|
||||
</div>
|
||||
</div>
|
||||
<div id="wfm-pm-list" class="wfm-pm-list"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -534,15 +821,31 @@
|
||||
<ul>
|
||||
<li id="wfm-help-gen-1">Connect/disconnect ComfyUI and check connection status</li>
|
||||
<li id="wfm-help-gen-2">Load workflows from Workflow tab (App format .app.json not supported)</li>
|
||||
<li id="wfm-help-gen-3">3-tab layout — Input (Prompt + Image), Model, Settings — each with a Raw JSON column for instant preview and direct editing</li>
|
||||
<li id="wfm-help-gen-3">4-tab layout — Input (Prompt + Image), Model, Settings, Feeder — Input/Model/Settings each include a Raw JSON column for instant preview and direct editing</li>
|
||||
<li id="wfm-help-gen-4">Input tab: Prompt (top) and Image drag-and-drop (bottom) in the left column</li>
|
||||
<li id="wfm-help-gen-5">Model tab: Checkpoint, VAE, LoRA, ControlNet, UNET, TextEncoder selectors with filter</li>
|
||||
<li id="wfm-help-gen-6">Settings tab: KSampler (top) and LatentImage (bottom) in the left column</li>
|
||||
<li id="wfm-help-gen-6">Settings tab: KSampler and Latent Image side by side, each at 50% width</li>
|
||||
<li id="wfm-help-gen-7">Raw JSON always visible in the right column of each tab — edit directly and Apply to reload the workflow</li>
|
||||
<li id="wfm-help-gen-8">Seed control: random, fixed, increment, decrement — seed input and mode selector stacked vertically for readability</li>
|
||||
<li id="wfm-help-gen-9">Generate, progress display, stop, and view results</li>
|
||||
<li id="wfm-help-gen-10">Eagle integration: auto-save generated images to Eagle</li>
|
||||
<li id="wfm-help-gen-11">Checkpoint Batch: enable via checkbox in the right panel to auto-generate once per checkpoint model; filter by include folders (comma-separated), exclude folders, or leave blank to use all checkpoints; Stop button aborts the loop after the current generation; per-model progress bar shown in amber</li>
|
||||
<li id="wfm-help-gen-11">Checkpoint Batch: select checkpoints by folder from the dropdown — check a folder to select all its files, or expand with ▶ to check individual files; use Filter to search; Pause/Resume suspends and continues between models; Stop aborts after the current generation</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
<div class="wfm-help-card">
|
||||
<h3 id="wfm-help-feeder-title">GenerateUI Tab — Feeder subtab</h3>
|
||||
<p id="wfm-help-feeder-desc">Requires the comfyui-image-feeder custom node. Controls ImageFeeder nodes and runs continuous generation loops over an image library stored in user/default/image-loop-data/.</p>
|
||||
<ul>
|
||||
<li id="wfm-help-feeder-1">Left pane — Node settings: select the target ImageFeeder node from the dropdown; edit all node parameters (Directory, Sort Mode, Index, Start/End Index, Batch Size, Seed, Use Selection); click Apply to write changes to the loaded workflow</li>
|
||||
<li id="wfm-help-feeder-2">Left pane — Presets: save the current directory + selection as a named preset; load or delete saved presets</li>
|
||||
<li id="wfm-help-feeder-3">Left pane — Run: After gen mode determines index behavior after each generation — Loop (wrap back to 0 and continue indefinitely), Increment (advance index and stop when all images are exhausted), Fixed (always use the same index); click Run to start the loop, Stop to interrupt</li>
|
||||
<li id="wfm-help-feeder-4">Center pane — Folder tree: browse subfolders inside image-loop-data; click a folder to load its images; click ↺ to reload the tree</li>
|
||||
<li id="wfm-help-feeder-5">Center pane — Image grid: displays thumbnails of all images in the selected folder; check individual images to add them to the selection; All / None buttons select or clear the entire folder; click an image to open the preview panel</li>
|
||||
<li id="wfm-help-feeder-6">Center pane — Preview panel: shows the clicked image at larger size with filename, resolution, and file size</li>
|
||||
<li id="wfm-help-feeder-7">Status bar: shows the current folder path and how many images are selected out of the total in the folder</li>
|
||||
<li id="wfm-help-feeder-8">Seed during Run: uses the right-pane seed setting (Random / Fixed / Increment / Decrement) — the ImageFeeder's own Seed field controls random sort order only</li>
|
||||
<li id="wfm-help-feeder-9">Index sync: after each generation the node returns the next index via WebSocket; the Index field updates automatically so the display stays in sync</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
@@ -556,6 +859,20 @@
|
||||
<li id="wfm-help-prompt-5">Preset Manager: browse all presets, favorites, and group-based filtering</li>
|
||||
<li id="wfm-help-prompt-6">Group management: create groups, assign/remove presets, delete groups</li>
|
||||
<li id="wfm-help-prompt-7">GenUI Set: apply preset prompts directly to GenerateUI</li>
|
||||
<li id="wfm-help-prompt-8">Wildcard toolbar: one-click buttons to insert wildcard syntax ({|}, {n$|}, __|__, <lora:>, etc.); wraps selected text</li>
|
||||
<li id="wfm-help-prompt-9">Wildcard file manager: create/edit/delete .txt/.yaml wildcard files; click filename to insert __filename__ at cursor</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
<div class="wfm-help-card">
|
||||
<h3 id="wfm-help-metadata-title">Metadata Tab</h3>
|
||||
<p id="wfm-help-metadata-desc">Drop a ComfyUI-generated PNG/WebP or workflow JSON to instantly extract and view the embedded model and prompt information.</p>
|
||||
<ul>
|
||||
<li id="wfm-help-metadata-1">Left column: drop zone (image preview for PNG/WebP) and file info; click or drop to load</li>
|
||||
<li id="wfm-help-metadata-2">Center column: Checkpoint, VAE, Diffusion Model, and Text Encoder lists extracted from the workflow</li>
|
||||
<li id="wfm-help-metadata-3">Right column: LoRA list (with strength values) and Prompt list (click to view full text below)</li>
|
||||
<li id="wfm-help-metadata-4">Prompt actions — Copy: copy to clipboard; GenUI:P/N: set GenerateUI positive/negative prompt; Prompt:P/N: set Prompt tab preset positive/negative</li>
|
||||
<li id="wfm-help-metadata-5">Supported: ComfyUI PNG/WebP/JSON (standard + Flux.2 / Qwen-Image / Z-Image subgraph workflows), SD WebUI, SD Forge, Fooocus. Model extraction covers UNETLoader, UnetLoaderGGUF, UNETLoaderGGUF (e.g. HiDream GGUF), CLIPLoader, DualCLIPLoader, TripleCLIPLoader, and QuadrupleCLIPLoader (e.g. HiDream 4-CLIP).</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
@@ -571,6 +888,8 @@
|
||||
<li id="wfm-help-settings-7">Eagle integration URL and auto-save toggle</li>
|
||||
<li id="wfm-help-settings-8">Data Management: export all plugin data to JSON / import to restore</li>
|
||||
<li id="wfm-help-settings-9">All sections are collapsible accordion panels</li>
|
||||
<li id="wfm-help-settings-10">Wildcard Integration: link WFS wildcard dir to ComfyUI-Impact-Pack wildcards (junction/symlink); existing files migrated automatically</li>
|
||||
<li id="wfm-help-settings-11">Text Size: one slider (10–28 px) adjusts font size for all prompt and chat textareas at once — Generate UI positive/negative prompts, AI Assistant chat input, Preset positive/negative, Wildcard prompt and file editor, and Metadata prompt full preview; takes effect immediately and saved with Save Settings</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
@@ -635,6 +954,9 @@
|
||||
<li id="wfm-help-sidepanel-9">Double-click items to load/place without dragging</li>
|
||||
<li id="wfm-help-sidepanel-10">Search within each sub-tab to quickly find items</li>
|
||||
<li id="wfm-help-sidepanel-12">⚙ Theme button (header): customize panel background, text, border colors — saved to localStorage</li>
|
||||
<li id="wfm-help-sidepanel-13">I tab (Information): drop a ComfyUI PNG/WebP/JSON to inspect model, LoRA, and prompt metadata in the side panel — sub-tabs: model / lora / Prompts; supports UnetLoaderGGUF and QuadrupleCLIPLoader node types</li>
|
||||
<li id="wfm-help-sidepanel-14">Information tab — drag items to canvas: model sub-tab places the loader node (Checkpoint → CheckpointLoaderSimple, VAE → VAELoader, Diffusion Model → UNETLoader, Text Encoder → CLIPLoader); double-click also places at canvas center</li>
|
||||
<li id="wfm-help-sidepanel-15">Information tab — LoRA sub-tab: drag individual LoRA to place LoraLoader; "Multiple LORA" section at bottom places all LoRAs in a single Lora Loader (LoraManager) node; Prompts sub-tab: drag a prompt to place CLIPTextEncode node with text pre-filled; click prompt to view full text and copy</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
|
||||
+998
-12
File diff suppressed because it is too large
Load Diff
@@ -605,50 +605,33 @@ app.registerExtension({
|
||||
};
|
||||
injectStyles();
|
||||
|
||||
const applyButtonIcon = (button, className, getIconFn, extraStyles) => {
|
||||
if (button.querySelector("svg")) return;
|
||||
button.classList.add(className);
|
||||
button.innerHTML = getIconFn();
|
||||
button.style.borderRadius = "4px";
|
||||
button.style.padding = "6px";
|
||||
if (extraStyles) Object.assign(button.style, extraStyles);
|
||||
const svg = button.querySelector("svg");
|
||||
if (svg) {
|
||||
svg.style.width = "20px";
|
||||
svg.style.height = "20px";
|
||||
}
|
||||
};
|
||||
|
||||
const buttonConfigs = [
|
||||
{ tooltip: BUTTON_TOOLTIP, className: "wfm-top-menu-button", getIcon: getWfmIcon, styles: { backgroundColor: "var(--primary-bg)" } },
|
||||
{ tooltip: SNAPSHOT_TOOLTIP, className: "wfm-snapshot-button", getIcon: getSnapshotIcon, styles: null },
|
||||
{ tooltip: NODE_SETS_TOOLTIP, className: "wfm-node-sets-btn", getIcon: getNodeSetsIcon, styles: null },
|
||||
];
|
||||
|
||||
const replaceAllIcons = () => {
|
||||
const replaceButtonIcons = () => {
|
||||
let foundAny = false;
|
||||
for (const cfg of buttonConfigs) {
|
||||
document.querySelectorAll(`button[aria-label="${cfg.tooltip}"]`).forEach((btn) => {
|
||||
applyButtonIcon(btn, cfg.className, cfg.getIcon, cfg.styles);
|
||||
foundAny = true;
|
||||
btn.classList.add(cfg.className);
|
||||
btn.innerHTML = cfg.getIcon();
|
||||
btn.style.borderRadius = "4px";
|
||||
btn.style.padding = "6px";
|
||||
if (cfg.styles) Object.assign(btn.style, cfg.styles);
|
||||
const svg = btn.querySelector("svg");
|
||||
if (svg) {
|
||||
svg.style.width = "20px";
|
||||
svg.style.height = "20px";
|
||||
}
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
const waitAndObserve = () => {
|
||||
const firstBtn = document.querySelector(`button[aria-label="${BUTTON_TOOLTIP}"]`);
|
||||
if (!firstBtn) {
|
||||
requestAnimationFrame(waitAndObserve);
|
||||
return;
|
||||
}
|
||||
replaceAllIcons();
|
||||
|
||||
const container = firstBtn.closest(".actionbar-container") || firstBtn.parentElement;
|
||||
if (container) {
|
||||
new MutationObserver(() => replaceAllIcons()).observe(container, {
|
||||
childList: true,
|
||||
subtree: true,
|
||||
});
|
||||
if (!foundAny) {
|
||||
requestAnimationFrame(replaceButtonIcons);
|
||||
}
|
||||
};
|
||||
requestAnimationFrame(waitAndObserve);
|
||||
requestAnimationFrame(replaceButtonIcons);
|
||||
},
|
||||
});
|
||||
|
||||
Reference in New Issue
Block a user