chore(release): v0.7.3 - GenerateUIタブにQwen Image 2.1対応を追加

TextEncodeQwenImage21ノード(Comfy-OrgのQwen-Image-2.1テンプレート、T2I/Edit兼用)のprompt/negative_prompt/resolutionをanalyzeWorkflow()で認識し、Input タブのPrompt欄・Settings欄から編集できるようにした。モデルロード・複数参照画像のLoadImageカードは既存の汎用ロジックで無改修対応。

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

DEVLOG.index.md

@@ -2,6 +2,7 @@
 
 Condensed version-by-version index of DEVLOG.md (each line: version + one-line summary of what changed and why). Full rationale, code details, and "How to apply" lessons live in the excluded DEVLOG.md itself; this index exists so graphify can extract a queryable semantic node per release without feeding the full log to the local Ollama model. Regenerate with `python tools/generate_doc_index.py devlog` whenever DEVLOG.md changes.
 
+- **v0.7.3（2026-09-24）** — GenerateUIタブにQwen Image 2.1（TextEncodeQwenImage21）対応を追加
 - **v0.7.2（2026-09-18）** — Workflowタブにソート機能追加（Date/Name 昇順降順）
 - **v0.7.1（2026-09-17）** — セキュリティ修正: Tagger VLM の Unsloth 経路でAPIキーがSSRFにより外部送信され得る不備を修正
 - **v0.7.0（2026-09-17）** — プレビュー枠の高さ固定・AssetサブタブをPlan/Editと並ぶ中央下部へ移設・トリムパネルにClipchamp風スクラバー追加・Frame保存のVideo Assets登録とAsset→Plan画像連携

DEVLOG.md

@@ -2,6 +2,22 @@
 
 ---
 
+## v0.7.3（2026-09-24）
+
+### GenerateUIタブにQwen Image 2.1（TextEncodeQwenImage21）対応を追加
+
+Comfy-Orgのnightly workflowテンプレート`qwen_image2.1_t2i.json`系（`TextEncodeQwenImage21`ノードでprompt/negative_prompt/resolutionとimage_1〜image_10参照画像を一手に扱う、T2IとEdit兼用のsubgraph構成）をGenerateUIタブで使えるようにした。
+
+**変更内容**: `comfyui-workflow.js`の`analyzeWorkflow()`に`TextEncodeQwenImage21`の分岐を追加。`TextEncodeBooguEdit`と同じ「1ノードにprompt/negative_prompt両方を持ち、ロールは固定（KSampler側の配線をたどらない）」パターンで`prompt_nodes`へ登録し、Input タブのPositive/Negative Prompt欄に反映されるようにした。あわせて`_getWidgetMapping()`に`TextEncodeQwenImage21: ["prompt", "negative_prompt", "resolution"]`を追加し、Settings欄からの書き戻しにも対応。
+
+**調査で判明した既存アーキテクチャ**: GenerateUIのModel/Diffusion Model/Text Encoder/VAE/KSampler/EmptyLatentImage検出は元々ノードタイプ非依存の汎用ロジックなので、UNETLoader＋CLIPLoader＋VAELoaderの3分割ロード構成（Flux/Qwen Image系で共通）は無改修でそのまま動作した。また画像アップロードUI（Input タブのImageサブパネル）は`generate-tab.js`ではなく`comfyui-editor.js`が担当しており、`analysis.load_image_nodes`に載る全LoadImageノード（1個に限らず）に対して個別カードを描画する汎用実装だったため、Qwen Image 2.1の複数参照画像編集（image_1・image_2をそれぞれ別のLoadImageで接続したワークフロー）もコード変更なしでそのまま動作した——ユーザー提供のI2Iテストワークフローで実機確認済み。
+
+**How to apply**: 新しい「1ノードでprompt+negative_prompt+複数画像入力」型の text-encoder ノードをGenerateUIに対応させる際は、まず`analyzeWorkflow()`のprompt_nodes検出だけ確認すればよい場合が多い——モデルロード・サンプラー・LoadImageカードは大抵ノードタイプに依存しない汎用ロジックが既にカバーしている。画像アップロードUIを探すときは`generate-tab.js`ではなく`comfyui-editor.js`を見ること（両者は別ファイル）。
+
+関連: [[project_v071_unsloth_ssrf_fix_and_outer_gitignore]]
+
+---
+
 ## v0.7.2（2026-09-18）
 
 ### Workflowタブにソート機能追加（Date/Name 昇順降順）

README.index.md

@@ -37,7 +37,7 @@ Thumbnail / Table views, Thumbnail side panel, Badge filtering, Search, Side pan
 One-click capture, Auto-save as thumbnail, Embedded workflow metadata, Auto-import
 
 ### GenerateUI Tab (v0.3.5)
-6-tab layout, Save button, Input tab, Model tab, Settings tab, Always-visible Raw JSON, Bypass/Mute node handling, One-click generation, Seed control, Style selector, Create Catalog / Catalog buttons, Batch type selector, Batch tab, UI-to-API conversion, Video workflow support, Eagle integration
+6-tab layout, Save button, Input tab, Model tab, Settings tab, Always-visible Raw JSON, Bypass/Mute node handling, One-click generation, Seed control, Style selector, Create Catalog / Catalog buttons, Batch type selector, Batch tab, UI-to-API conversion, Video workflow support, Eagle integration, Qwen Image 2.1 support
 
 ### Feeder subtab (v0.3.5 / v0.3.42)
 ImageFeeder node control, Image library, Selection management, Presets, Continuous Run loop, Index sync, Seed, WFS_GalleryFeeder node, Node & group selector, Image grid, After Gen modes, Run / Stop controls

README.md

@@ -122,6 +122,7 @@ A comprehensive workflow, asset management, and generation UI plugin for [ComfyU
 - **Video workflow support** (v0.5.2) — loading a MiniMax H3 (or other all-in-one video-generation) workflow now works from GenerateUI too, not just the dedicated Video tab: the Input tab's Prompt field picks up its `prompt` widget, the Image tab picks up its LoadImage-based `first_frame` the same way any other I2I workflow does, and generation runs with a longer timeout since video generation takes much longer than a still image; the result preview shows the generated mp4 inline (`<video>`) instead of trying to render it as an image
   - **LTX-2.5 / Wan2.2 support** (v0.5.4) — these follow ComfyUI's regular node-graph pattern rather than an all-in-one node, so they needed their own detection: Positive/Negative Prompt now traces through LTX-2.5's `LTXVDualCFGGuider`/`LTXVConditioning` nodes to the actual prompt text, and the Settings tab's Latent Image section recognizes Wan2.2's `EmptyHunyuanLatentVideo` and LTX-2.5's `EmptyLTXVLatentVideo` (width/height/batch size, plus an added **Length (frames)** field) instead of showing "No EmptyLatentImage node found"; the extended generation timeout now also triggers off a `SaveVideo`/`CreateVideo` node anywhere in the graph, not just an all-in-one node
 - **Eagle integration** — auto-save generated images to [Eagle](https://eagle.cool/) with metadata
+- **Qwen Image 2.1 support** (v0.7.3) — `TextEncodeQwenImage21` (the unified T2I/Edit encoder used by Comfy-Org's Qwen-Image-2.1 workflow templates) is now recognized: its `prompt`/`negative_prompt` widgets populate the Input tab's Positive/Negative Prompt textareas and are editable like any other prompt node; its `resolution` (a pixel-budget int, not width/height) is exposed for Raw JSON editing. No extra work was needed for the model's up to 10 reference images (`image_1`…`image_10`, used for image editing) — each one arrives as an ordinary LoadImage node, so it already gets its own card in the Input tab's Image sub-panel via the existing generic LoadImage detection
 
 </details>
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-workflow-studio"
 description = "A comprehensive workflow, asset management, and generation UI plugin for ComfyUI. Manage workflows, models, images, and prompts; batch generation and Image Feeder in the GenerateUI tab; library side panel with canvas drag & drop and AI tools."
-version = "0.7.2"
+version = "0.7.3"
 license = { file = "LICENSE" }
 requires-python = ">= 3.10"
 dependencies = ["jinja2"]

static/js/comfyui-workflow.js

@@ -1296,6 +1296,28 @@ export const comfyWorkflow = {
                 }
             }
 
+            // TextEncodeQwenImage21 (Qwen Image 2.1 unified T2I/Edit encoder) — prompt +
+            // negative_prompt in one node (fixed roles, same shape as TextEncodeBooguEdit).
+            // Also carries a "resolution" pixel-budget int (not width/height) and up to 10
+            // optional images.image_N reference inputs (image_1 is the edit target when wired;
+            // with no images connected the node behaves as pure T2I). The reference images
+            // themselves need no special handling here — they arrive as ordinary LoadImage
+            // nodes already picked up generically by the load_image_nodes pass below.
+            if (ct === "TextEncodeQwenImage21") {
+                if (typeof inputs.prompt === "string") {
+                    result.prompt_nodes.push({
+                        id, type: ct, title: `${title} [positive]`, role: "positive",
+                        text: inputs.prompt, textKey: "prompt",
+                    });
+                }
+                if (typeof inputs.negative_prompt === "string") {
+                    result.prompt_nodes.push({
+                        id, type: ct, title: `${title} [negative]`, role: "negative",
+                        text: inputs.negative_prompt, textKey: "negative_prompt",
+                    });
+                }
+            }
+
             // Mage-Flow text encoder — prompt + negative_prompt in one node (fixed roles,
             // unlike KSampler-derived getRole() since both wires originate from this node)
             if (ct === "TextEncodeMageFlowEdit") {
@@ -1651,6 +1673,7 @@ function _getWidgetMapping(nodeType) {
         ImpactWildcardProcessor: ["wildcard_text"],
         ImpactWildcardEncode: ["wildcard_text"],
         WFS_PromptText: ["positive", "negative"],
+        TextEncodeQwenImage21: ["prompt", "negative_prompt", "resolution"],
     };
     return mappings[nodeType] || null;
 }