| 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 1.0 (Anima Base Ultra) Text-to-Image Workflows
Overview
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:
- Accepts Danbooru-style tags AND/OR natural language in the same prompt.
- Very low VRAM — generates (and trains) on <6GB VRAM; runs on any PC that can run SDXL/Illustrious.
- License: CircleStone Labs Non-Commercial License (with NVIDIA Open Model License terms on the weights/derivatives). Generated images are usable commercially per the model card — verify the current license text before relying on this.
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: CLIPLoader widget values are ["qwen_3_06b_base.safetensors", "stable_diffusion", "default"]. (The HF model card describes standard loaders; the exact CLIP type string stable_diffusion is what the Aitrepreneur "Anima Base Ultra" workflow ships — use it as-is.)
Installation
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).
Custom nodes (git clone into 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) |
Models (download URLs from the pack's .bat / .sh)
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.
Key Nodes
Loaders
{
"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" }}
}
Anima Turbo LoRA (the shipped default — 12-step fast mode)
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.
AnimaLLLiteApply (ControlNet + inpainting — from ComfyUI-Anima-LLLite)
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
}
}
Settings
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.
Resolutions
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 |
Prompt Style
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).
Complete Workflow: Text-to-Image (Turbo, 12-step)
{
"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.
Complete Workflow: Anime Inpainting (Anima-LLLite ControlNet)
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 control
Upscaling (optional)
The 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).
VRAM
- Anima is ~2B params → generates in <6GB VRAM (runs anywhere SDXL/Illustrious runs).
- Text encoder (Qwen3-0.6B) and VAE are both small.
- A GGUF quantized build exists for even lower memory (
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.
Troubleshooting
- Weird/distorted images → use a recommended resolution (1024x1024, 896x1152, 832x1216, 768x1344, 640x1536).
- Turbo result looks washed/flat → that's turbo at CFG 1; for max quality switch to base mode (drop turbo LoRA, 30–50 steps, CFG 4–5).
AnimaLLLiteApply missing → install ComfyUI-Anima-LLLite; it is not a standard ControlNet node.- CLIP loads but output is garbage → confirm
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).
- Inpainting ignores the mask → ensure both
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).
Training custom LoRAs
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.
