| --- |
| license: other |
| license_name: circlestone-labs-non-commercial-license |
| license_link: LICENSE.md |
| tags: |
| - text-to-image |
| - diffusers |
| - cosmos |
| library_name: diffusers |
| pipeline_tag: text-to-image |
| base_model: circlestone-labs/Anima |
| --- |
| |
| # Anima 1.0 Base (SD.Next Diffusers Conversion) |
|
|
| Diffusers-format conversion of [Anima 1.0 Base](https://huggingface.co/circlestone-labs/Anima) for use with SD.Next. |
|
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| Anima is a 2 billion parameter text-to-image model created via a collaboration between CircleStone Labs and Comfy Org. It is focused on anime concepts, characters, and styles, and on non-photorealistic illustration in general; it is not intended for realism. The Base version is the pretrained, unrefined base model, with maximum flexibility, diversity, and style adherence; its default style is plain and neutral, especially without artist or quality tags. LoRAs should be trained on this version. |
|
|
| **Original model:** [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) (`split_files/diffusion_models/anima-base-v1.0.safetensors`) |
|
|
| ## Architecture |
|
|
| - **Transformer:** CosmosTransformer3DModel (2B params, 28 layers) |
| - **Text Encoder:** Qwen3-0.6B (replacing Cosmos T5-11B) |
| - **LLM Adapter:** Custom cross-attention adapter bridging Qwen3 to the transformer |
| - **VAE:** AutoencoderKLWan |
|
|
| ## Recommended Settings |
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| - 30-50 steps, CFG 4-5 |
| - Resolutions between 512x512 and 1536x1536 |
|
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| ## Prompting |
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| - Trained on Danbooru-style tags, natural language captions, and combinations of both. Tags are lowercase with spaces instead of underscores; score tags are the only tags that use underscores. |
| - Recommended positive prefix: "masterpiece, best quality, score_7, safe, " |
| - Recommended negative: "worst quality, low quality, score_1, score_2, score_3, artist name, blurry, jpeg artifacts, chromatic aberration" |
| - Artist tags require an @ prefix (e.g. "@artist name"); without it the effect is very weak. |
|
|
| ## Finetuning |
|
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| - The LLM adapter should not be trained (set `llm_adapter_lr=0` or the trainer's equivalent); it strongly influences outputs and degrades easily. |
| - A low learning rate is recommended: around 2e-5 for a rank 32 LoRA, adjusted from there. |
|
|
| ## License |
|
|
| CircleStone Labs Non-Commercial License v1.2 (see LICENSE.md). As a derivative of Cosmos-Predict2-2B-Text2Image, the model is also subject to the NVIDIA Open Model License. The non-commercial restriction applies to the model weights, not to generated images. |
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