anima-base

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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

AI & Automation 738 stars 120 forks Updated yesterday MIT

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# 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, made 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 suits anime, manga, and illustrated characters and styles, not realism. Key traits: - Accepts Danbooru-style tags and/or natural language in the same prompt. - Very low VRAM. It generates and trains on <6GB VRAM and runs on any PC that can run SDXL/Illustrious. - License: CircleStone Labs Non-Commercial License, with NVIDIA Open Model License terms on the weights and derivatives. Generated images are usable commercially per the model card. Verify the current license text before relying on this. ComfyUI loads it 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: `...

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Author
artokun
Repository
artokun/comfyui-mcp
Created
6 months ago
Last Updated
yesterday
Language
TypeScript
License
MIT

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