ComfyUI本体のAnimaLLLiteApplyとのノードID衝突を回避するためリネーム
ComfyUI本体がbeta版のAnima LLLiteノード(comfy_extras/nodes_model_patch.py の AnimaLLLiteApply)を追加したことで、本ノードのIDが衝突し登録がスキップされる ようになった(ComfyUIはビルトインとIDが重複するカスタムノードを黙って無視する)。 - ノードID / Pythonクラス名: AnimaLLLiteApply → AnimaLLLiteApply_sdscripts - 表示名: "Apply Anima ControlNet-LLLite (sd-scripts)" - READMEに破壊的変更の注意書きを追加(旧ワークフローはノードの置き直しが必要) - 本体ノードは同じv2重みフォーマットのネイティブ再実装である旨もREADMEに記載 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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co-authored by
Claude Fable 5
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@@ -12,6 +12,34 @@ This is intended as a **minimal reference implementation**. Community nodes
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with extra features (per-step scheduling, multi-cond, region masks, per-block
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selection, …) are welcome and can build on this codebase.
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## ⚠️ Breaking change: node renamed to `AnimaLLLiteApply_sdscripts`
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ComfyUI core has added its own (beta) Anima LLLite node named
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`AnimaLLLiteApply` (in `comfy_extras/nodes_model_patch.py`). ComfyUI silently
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skips custom-node registrations whose node ID collides with a built-in one,
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so this node's original ID `AnimaLLLiteApply` stopped loading. The node has
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therefore been renamed:
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* Node ID: `AnimaLLLiteApply` → **`AnimaLLLiteApply_sdscripts`**
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* Display name: **"Apply Anima ControlNet-LLLite (sd-scripts)"**
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**Existing workflows saved with the old node need to be fixed manually:**
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the old node type now resolves to the built-in core node, which has a
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different input signature (it takes a `MODEL_PATCH` from `ModelPatchLoader`
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instead of loading the weights file directly, and has no `mask` /
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`preserve_wrapper` inputs), so old workflows will fail validation. Delete
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the old node, add **Apply Anima ControlNet-LLLite (sd-scripts)**, and
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rewire it. There is unfortunately no way to keep the old ID as an alias
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because the built-in node now owns it.
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Note that the core node is a native reimplementation of the **same v2
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weight format** this node loads (sd-scripts-trained checkpoints work with
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both). The main practical differences: the core node loads weights from
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`models/model_patches/` via `ModelPatchLoader` (this node reads from
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`models/controlnet/`), integrates through ComfyUI's attention/MLP patch
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hooks instead of a `model_function_wrapper`, and currently supports
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single-frame (T=1) latents only.
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## Install
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Clone into `ComfyUI/custom_nodes/`:
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@@ -25,7 +53,8 @@ Place LLLite weights (`.safetensors`) under `ComfyUI/models/controlnet/`.
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## Node
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**Apply Anima ControlNet-LLLite** (`loaders` category)
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**Apply Anima ControlNet-LLLite (sd-scripts)** (`loaders` category, node ID
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`AnimaLLLiteApply_sdscripts`)
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| Input | Type | Notes |
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|---|---|---|
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@@ -70,7 +99,7 @@ silently substituting an empty mask.
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### Cascading multiple LLLite nodes
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Multiple **Apply Anima ControlNet-LLLite** nodes can be chained on the same
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Multiple **Apply Anima ControlNet-LLLite (sd-scripts)** nodes can be chained on the same
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`MODEL` to apply more than one LLLite at the same time (e.g. a pose LLLite
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and a depth LLLite, or several inpaint LLLites with different conditions).
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Just feed the output `MODEL` of one node into the `model` input of the next.
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@@ -119,7 +119,7 @@ def _build_inpaint_cond_image(rgb_pm1: torch.Tensor, mask01: torch.Tensor,
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return torch.cat([rgb_pm1, mask_pm1], dim=1)
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class AnimaLLLiteApply:
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class AnimaLLLiteApply_sdscripts:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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@@ -279,9 +279,9 @@ class AnimaLLLiteApply:
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NODE_CLASS_MAPPINGS = {
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"AnimaLLLiteApply": AnimaLLLiteApply,
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"AnimaLLLiteApply_sdscripts": AnimaLLLiteApply_sdscripts,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"AnimaLLLiteApply": "Apply Anima ControlNet-LLLite",
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"AnimaLLLiteApply_sdscripts": "Apply Anima ControlNet-LLLite (sd-scripts)",
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}
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