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Anime/illustration text-to-image (ANIMA 1.0, ~2B Cosmos DiT) — use for anime, manga, illustrated characters; accepts Danbooru tags + natural language; runs/trains on <6GB VRAM; includes anime inpainting via Anima-LLLite ControlNet
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Drive the LTX Director (Timeline) node — its Add Image/Text/Audio buttons are DOM-only and cannot be clicked by an agent; edit the hidden timeline_data JSON widget instead. Load when a workflow contains LTXDirector / LTXDirectorGuide / PromptRelayEncodeTimeline, or when asked to add, move, retime, or remove timeline segments (image / text / audio / motion).
Train a character/identity LoRA locally on FLUX.1-dev via the comfyui-mcp train_* tools (GPU Docker + ostris ai-toolkit). Use when the user wants to train a LoRA of a person/character from their photos on the local GPU — covers dataset prep, launch, monitoring, and using the result in ComfyUI. For WAN/Z-Image training via the ai-toolkit UI see ai-toolkit-trainer.
Core ComfyUI knowledge — workflow format, node types, pipeline patterns, and MCP tool usage
Discover Civitai models with the BUILT-IN search_civitai_models tool and install/generate them locally — find a checkpoint/LoRA/embedding on Civitai, download it into ComfyUI, and use its trigger words. Optionally pair the official Civitai MCP for community features (images browsing, posting, collections).
Run the ComfyUI agent locally for FREE — no subscription, no API key, fully offline — using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama. Use when the user asks about running locally, running for free, offline use, avoiding API costs, Ollama setup, or which local model to pick.
Debug a WRONG or imperfect render (not a hard error) by inspecting inputs and intermediate steps with run-to-node — render one branch up to an output, preview-tap latents/masks/preprocessor maps, localize the first bad stage, then fix. Use when a final image/video comes out wrong — artifacts, wrong subject/pose/composition/color, blur, a ControlNet/IPAdapter/mask/LoRA not taking, a two-stage refiner or upscale degrading the result — rather than the run failing with an error (for errors/OOM/missing nodes use the troubleshooting skill).
| name | anima-base |
| description | Anime/illustration text-to-image (ANIMA 1.0, ~2B Cosmos DiT) — use for anime, manga, illustrated characters; accepts Danbooru tags + natural language; runs/trains on <6GB VRAM; includes anime inpainting via Anima-LLLite ControlNet |
| globs | ["**/*.json"] |
Anima is a ~2B-parameter anime / illustration text-to-image base model from CircleStone Labs (in collaboration with Comfy Org). It is not SDXL-lineage: the architecture is NVIDIA Cosmos-Predict2-2B-Text2Image (a DiT / flow model), trained on several million anime images plus ~800k non-anime artistic images. It is best for anime, manga, and illustrated characters/styles (not realism).
Key traits:
Loaded in ComfyUI with standard split-file loaders (not a single checkpoint):
| Component | Node | Model file | Folder | Notes |
|---|---|---|---|---|
| Diffusion model | UNETLoader | anima-base-v1.0.safetensors | models/diffusion_models/ | weight_dtype default; ~4GB fp |
| Text encoder | CLIPLoader | qwen_3_06b_base.safetensors | models/text_encoders/ | Qwen3-0.6B base; type": "stable_diffusion" in this pack |
| VAE | VAELoader | qwen_image_vae.safetensors | models/vae/ | Qwen-Image VAE (~254MB) |
Verified from the pack's workflow JSON:
CLIPLoaderwidget values are["qwen_3_06b_base.safetensors", "stable_diffusion", "default"]. (The HF model card describes standard loaders; the exact CLIPtypestringstable_diffusionis what the Aitrepreneur "Anima Base Ultra" workflow ships — use it as-is.)
The "Anima Base Ultra" pack (by Aitrepreneur) installs custom nodes and downloads all models. Models are mirrored on https://huggingface.co/Aitrepreneur/FLX/resolve/main (the official source is https://huggingface.co/circlestone-labs/Anima).
ComfyUI/custom_nodes/)| Node pack | Repo | Used for |
|---|---|---|
| ComfyUI-Manager | https://github.com/ltdrdata/ComfyUI-Manager.git | management |
| ComfyUI-Impact-Pack | https://github.com/ltdrdata/ComfyUI-Impact-Pack | FaceDetailer / EditDetailerPipe |
| ComfyUI-Impact-Subpack | https://github.com/ltdrdata/ComfyUI-Impact-Subpack | UltralyticsDetectorProvider |
| rgthree-comfy | https://github.com/rgthree/rgthree-comfy | Power Lora Loader, Fast Groups, Any Switch |
| ComfyUI-KJNodes | https://github.com/kijai/ComfyUI-KJNodes | helpers |
| ComfyUI_UltimateSDUpscale | https://github.com/ssitu/ComfyUI_UltimateSDUpscale | tiled upscaling |
| ComfyUI_tinyterraNodes | https://github.com/TinyTerra/ComfyUI_tinyterraNodes | ttN seed |
| comfyui_controlnet_aux | https://github.com/Fannovel16/comfyui_controlnet_aux | DWPreprocessor, DepthAnythingV2 |
| ComfyUI-Anima-LLLite | https://github.com/kohya-ss/ComfyUI-Anima-LLLite | AnimaLLLiteApply (ControlNet + inpainting) |
Base $HF = https://huggingface.co/Aitrepreneur/FLX/resolve/main, $YOLO11 = https://huggingface.co/Ultralytics/YOLO11/resolve/main. Append ?download=true.
| Folder | File | Source |
|---|---|---|
diffusion_models/ | anima-base-v1.0.safetensors | $HF |
text_encoders/ | qwen_3_06b_base.safetensors | $HF |
vae/ | qwen_image_vae.safetensors | $HF |
controlnet/ | anima-lllite-inpainting-v1.safetensors | $HF |
controlnet/ | anima-lllite-depth-1.safetensors | $HF |
controlnet/ | anima-lllite-lineart-1.safetensors | $HF |
controlnet/ | anima-lllite-pose-1.safetensors | $HF |
controlnet/ | anima-lllite-any-test-like-1-step2000.safetensors | $HF |
loras/ | anima-turbo-lora-v0.1.safetensors | $HF |
loras/ | anima-highres-aesthetic-boost.safetensors | $HF |
loras/ | anima-preview-3-masterpieces-v5.safetensors | $HF |
loras/ | anima_p3_rdbt_v0.29.b.122.safetensors | $HF |
upscale_models/ | 4x_foolhardy_Remacri.pth, 4x-ClearRealityV1.pth | $HF |
ultralytics/bbox/ | face_yolov9c.pt, hand_yolov9c.pt, Eyeful_v2-Paired.pt | $HF |
ultralytics/segm/ | ntd11_anime_nsfw_segm_v5-variant1.pt | $HF |
ultralytics/segm/ | yolo11m-seg.pt | $YOLO11 |
sams/ | sam_vit_b_01ec64.pth | $HF |
The DWPreprocessor/DepthAnythingV2 aux models (dw-ll_ucoco_384_bs5.torchscript.pt, yolox_l.onnx, depth_anything_v2_vitl.pth) are auto-fetched by comfyui_controlnet_aux on first use.
{
"1": { "class_type": "UNETLoader", "inputs": { "unet_name": "anima-base-v1.0.safetensors", "weight_dtype": "default" }},
"2": { "class_type": "CLIPLoader", "inputs": { "clip_name": "qwen_3_06b_base.safetensors", "type": "stable_diffusion", "device": "default" }},
"3": { "class_type": "VAELoader", "inputs": { "vae_name": "qwen_image_vae.safetensors" }}
}
Applied with rgthree Power Lora Loader. The plain ComfyUI equivalent is LoraLoaderModelOnly:
{
"class_type": "LoraLoaderModelOnly",
"inputs": { "model": ["1", 0], "lora_name": "anima-turbo-lora-v0.1.safetensors", "strength_model": 1.0 }
}
Other LoRAs the pack ships (toggle on/off in Power Lora Loader): anima-highres-aesthetic-boost, anima-preview-3-masterpieces-v5, anima_p3_rdbt_v0.29.b.122. In the non-turbo groups these three are enabled and the turbo LoRA is off; in the turbo groups only the turbo LoRA is on.
Patches the MODEL (Anima uses LLLite-style control, not standard ControlNetApply conditioning). Inputs: model, image, mask; widget order [lllite_name, strength, start_percent, end_percent]; output: patched MODEL.
{
"class_type": "AnimaLLLiteApply",
"inputs": {
"model": ["<model>", 0],
"image": ["<control_or_source_image>", 0],
"mask": ["<mask>", 0],
"lllite_name": "anima-lllite-pose-1.safetensors",
"strength": 1.0, "start_percent": 0.0, "end_percent": 1.0
}
}
The base model and the turbo-LoRA path want different settings:
| Mode | Steps | CFG | Sampler | Scheduler | Denoise | Notes |
|---|---|---|---|---|---|---|
| Base (no turbo LoRA) | 30–50 | 4–5 | er_sde | simple | 1.0 | Author-recommended for the base model |
| Turbo LoRA (shipped default) | 12 | 1.0 | er_sde | simple | 1.0 | anima-turbo-lora-v0.1 enabled |
| Upscale pass (UltimateSDUpscale) | 12 | 1.0 | er_sde | simple | 0.28 | 4x_foolhardy_Remacri.pth, scale 2x |
Sampler character (from model card): er_sde = neutral style, flat colors, sharp lines; euler_ancestral = softer/thinner lines; dpmpp_2m_sde_gpu = similar with more variety. Optional beta57 scheduler for painterly looks.
The base model supports 512²–1536². The pack recommends these to avoid distortion:
| Aspect | Resolution |
|---|---|
| 1:1 | 1024x1024 |
| 3:4 | 896x1152 |
| 5:8 | 832x1216 |
| 9:16 | 768x1344 |
| 9:21 | 640x1536 |
Anima accepts Danbooru tags + natural language together. The pack's recommended formula:
masterpiece, best quality, score_7, safe, highres, official art,
1girl, solo,
@artist name,
clean lineart, detailed eyes, soft shading,
A young anime woman with long silver hair and blue eyes stands in a rainy neon city at night.
She wears a black futuristic jacket with glowing blue details. Medium close-up, wet pavement
reflections, soft background blur, cinematic lighting.
Structure: quality tags → subject/count tags → optional @artist name → anime style tags → 2–4 natural-language sentences describing subject, outfit, pose, composition, background, lighting, mood. Use lowercase tags with spaces (not underscores), except score tags like score_7. Artist tags use @artist name; browse names at the community Anima Style Explorer (https://thetacursed.github.io/Anima-Style-Explorer/).
Negative prompt (recommended):
worst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands,
missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark,
signature, simple background
Unlike Flux/Qwen, Anima does use a real negative prompt via a second CLIPTextEncode (CFG > 1 in base mode).
{
"1": { "class_type": "UNETLoader", "inputs": { "unet_name": "anima-base-v1.0.safetensors", "weight_dtype": "default" }},
"2": { "class_type": "CLIPLoader", "inputs": { "clip_name": "qwen_3_06b_base.safetensors", "type": "stable_diffusion", "device": "default" }},
"3": { "class_type": "VAELoader", "inputs": { "vae_name": "qwen_image_vae.safetensors" }},
"4": { "class_type": "LoraLoaderModelOnly", "inputs": { "model": ["1", 0], "lora_name": "anima-turbo-lora-v0.1.safetensors", "strength_model": 1.0 }},
"5": { "class_type": "CLIPTextEncode", "inputs": { "clip": ["2", 0], "text": "masterpiece, best quality, score_7, safe, highres, official art, 1girl, solo, clean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes stands in a rainy neon city at night, cinematic lighting." }},
"6": { "class_type": "CLIPTextEncode", "inputs": { "clip": ["2", 0], "text": "worst quality, low quality, score_1, score_2, score_3, bad anatomy, bad hands, extra fingers, text, watermark, signature, simple background" }},
"7": { "class_type": "EmptyLatentImage", "inputs": { "width": 896, "height": 1152, "batch_size": 1 }},
"8": { "class_type": "KSampler", "inputs": {
"model": ["4", 0],
"positive": ["5", 0],
"negative": ["6", 0],
"latent_image": ["7", 0],
"seed": 42, "steps": 12, "cfg": 1, "sampler_name": "er_sde", "scheduler": "simple", "denoise": 1
}},
"9": { "class_type": "VAEDecode", "inputs": { "samples": ["8", 0], "vae": ["3", 0] }},
"10": { "class_type": "SaveImage", "inputs": { "images": ["9", 0], "filename_prefix": "anima" }}
}
Base-quality variant (no turbo): drop node 4 (feed ["1", 0] into KSampler), set steps: 30, cfg: 4.5. Optionally enable the three quality LoRAs (anima-highres-aesthetic-boost, anima-preview-3-masterpieces-v5, anima_p3_rdbt_v0.29.b.122) by chaining LoraLoaderModelOnly nodes.
The pack's "INPAINTING CONTROLNET" group: load an image with a painted mask, VAEEncode it, apply SetLatentNoiseMask, patch the model with the inpainting LLLite (fed the same image + mask), then sample. The mask region is regenerated from the prompt while the rest is preserved.
{
"1": { "class_type": "UNETLoader", "inputs": { "unet_name": "anima-base-v1.0.safetensors", "weight_dtype": "default" }},
"2": { "class_type": "CLIPLoader", "inputs": { "clip_name": "qwen_3_06b_base.safetensors", "type": "stable_diffusion", "device": "default" }},
"3": { "class_type": "VAELoader", "inputs": { "vae_name": "qwen_image_vae.safetensors" }},
"4": { "class_type": "LoraLoaderModelOnly", "inputs": { "model": ["1", 0], "lora_name": "anima-turbo-lora-v0.1.safetensors", "strength_model": 1.0 }},
"5": { "class_type": "LoadImage", "inputs": { "image": "<masked_image.png>" }},
"6": { "class_type": "AnimaLLLiteApply", "inputs": {
"model": ["4", 0], "image": ["5", 0], "mask": ["5", 1],
"lllite_name": "anima-lllite-inpainting-v1.safetensors",
"strength": 1.0, "start_percent": 0.0, "end_percent": 1.0
}},
"7": { "class_type": "CLIPTextEncode", "inputs": { "clip": ["2", 0], "text": "<what to paint into the masked area>" }},
"8": { "class_type": "CLIPTextEncode", "inputs": { "clip": ["2", 0], "text": "worst quality, low quality, bad anatomy, text, watermark" }},
"9": { "class_type": "VAEEncode", "inputs": { "pixels": ["5", 0], "vae": ["3", 0] }},
"10": { "class_type": "SetLatentNoiseMask", "inputs": { "samples": ["9", 0], "mask": ["5", 1] }},
"11": { "class_type": "KSampler", "inputs": {
"model": ["6", 0],
"positive": ["7", 0],
"negative": ["8", 0],
"latent_image": ["10", 0],
"seed": 42, "steps": 12, "cfg": 1, "sampler_name": "er_sde", "scheduler": "simple", "denoise": 1
}},
"12": { "class_type": "VAEDecode", "inputs": { "samples": ["11", 0], "vae": ["3", 0] }},
"13": { "class_type": "SaveImage", "inputs": { "images": ["12", 0], "filename_prefix": "anima_inpaint" }}
}
Other LLLite ControlNets (same AnimaLLLiteApply node, swap lllite_name, feed a preprocessed control image; mask can be a full-white/blank mask when not inpainting):
anima-lllite-pose-1.safetensors ← DWPreprocessor (OpenPose)anima-lllite-depth-1.safetensors ← DepthAnythingV2Preprocessoranima-lllite-lineart-1.safetensors / anima-lllite-any-test-like-1-step2000.safetensors ← lineart / generic controlThe pack upscales with UltimateSDUpscale (4x_foolhardy_Remacri.pth, 2x, denoise 0.28, 12 steps, er_sde/simple) and refines faces/hands/eyes with Impact-Pack FaceDetailer driven by UltralyticsDetectorProvider (face_yolov9c.pt, hand_yolov9c.pt, Eyeful_v2-Paired.pt) + SAM (sam_vit_b_01ec64.pth).
Abiray/Anima-base-v1.0-GGUF) — would need a GGUF loader node (e.g. ComfyUI-GGUF), not included in this pack. Unverified against this workflow.AnimaLLLiteApply missing → install ComfyUI-Anima-LLLite; it is not a standard ControlNet node.CLIPLoader type is stable_diffusion and the file is qwen_3_06b_base.safetensors (the Qwen3-0.6B base, not the chat/edit Qwen models).SetLatentNoiseMask AND the inpainting AnimaLLLiteApply receive the painted mask; encode the source image with VAEEncode (denoise 1.0 is fine because the noise mask preserves unmasked pixels).To train your own Anima LoRA (character/style) on <6GB VRAM, use the Citron Anima LoRA Trainer — see the anima-lora-trainer skill. Trained .safetensors LoRAs drop into models/loras/ and load via Power Lora Loader / LoraLoaderModelOnly exactly like the bundled LoRAs above.