anima-base

Featured

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 450 stars 76 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
88
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# 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) | > **Verifie...

Details

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

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category