| --- |
| license: other |
| license_name: circlestone-labs-non-commercial-license |
| license_link: https://huggingface.co/circlestone-labs/Anima/resolve/main/LICENSE.md |
| language: |
| - en |
| base_model: |
| - circlestone-labs/Anima |
| library_name: diffusion-single-file |
| tags: |
| - comfyui |
| pipeline_tag: text-to-image |
| --- |
| |
| ## Anima-2.9B is officially supported in ComfyUI and Forge-Neo! |
| ## LoRA training is now supported: https://github.com/gazingstars123/Anima-Standalone-Trainer |
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| You can also try sd-scripts fork: https://github.com/gazingstars123/sd-scripts |
|
|
| **Status: Training in progress.** |
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| Next step: Pretraining on general 10M samples on various concepts to improve prompt understanding, while also expand significantly on the main anime/illustration dataset (I will update the knowledge as recently as possible) |
|
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| If you'd like to support me or to support the training progress: |
|
|
| [](https://ko-fi.com/gazingstars) |
| [](https://paypal.me/gazingstars123) |
|
|
| Vast.ai: thangquay347@gmail.com |
|
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| **Every bit of support helps expand the model's scope and capability even further!** |
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| You may still need to install [ComfyUI-Anima-2.9B](https://github.com/gazingstars123/ComfyUI-Anima-2.9B) to the custom node folder if your comfyui are not up-to-date (version 0.33.1). Plug and play, there is no custom node needed. Sometimes may not work with other custom nodes |
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|  |
|
|
| ## Overview |
|
|
| Anima-2.9B is a fine-tune and layer-expansion of [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima). The base Anima model targets anime, illustration, and non-photorealistic art; this release continues training on that foundation with the expanded architecture. |
| The model is trained on an additional 1.7M anime/illustration samples, with knowledge cutoff in July 2026, making Anima-2.9B one of the most up-to-date anime/illustration model at release. |
|
|
| ## Versions |
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| - **Anima-2.9B-preview-v1**: initial release |
|
|
| ## Training/Dataset |
|
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| - Trained using Muon optimizer on a 8x 5080s cluster, with earlier steps trained locally on my PC |
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| - As of preview v1, only the new layers have been trained, with roughly 70% of the compute spent on 1024px |
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| - Knowledge cutoff is July 2026, training data included both new and old samples prior to September 2025 |
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| - Mixed captioning, including both tags and natural languages, using a mix of Gemini 3.1 Flash-Lite, Gemini 3.5 Flash-Lite, and Claude Sonnet 5 |
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| - **NO score tags** |
|
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| ## Architecture |
|
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| - **Transformer depth expansion**: expanded from 28 transformers layers to 40, growing the model to ~2.9B parameters. |
| Each new layer is added by deep-copying its neighboring layer's weights, using interleaved insertion with zeroed-out output projections, making the new model functionally identical to Anima-base at initialization. |
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|
| ## Prompting tips : |
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| Follow Anima prompting tips: quality tags, year/period tags, @artist tags, character count (1girl, 1boy), character tags (follow Danbooru and Gelbooru tags), series/copyrights, base appearance. |
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| Character name/tags should be follow with series/copyrights tags or else the model might confuse. |
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| For multi-character images, attribute the character and names with their respective tags/appearance. |
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| The model does improve the base art style slightly, but I'd still recommend using artist tags. |
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| The dataset does not include **scores** in its captions, however, you can still use them. |
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| **(IMPORTANT) THE MORE DETAILED THE PROMPT, THE BETTER**, short prompt will often generate a bland simple background, and may not able to produce the desire results |
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|
| ## Generation (Recommendation) |
| - Sampler: Euler/Res-multistep/Er-sde |
| - Scheduler: sgm-uniform/beta/beta57/linear-quadratic |
| - Resolution: 812x1216, 1152x1536, 1536x1536 (iffy) |
| - Steps: 28-50 |
| - CFG: 3.5-5 |
|
|
| My personal usage is **euler + sgm-uniform**, which has a good balance between composition and fine details. Additionally **res-multistep + linear-quadratic** spend more time at high noise steps, which does lead to visibly better composition. |
| My recommendation for the highest quality is 50 steps, there are some images where 3.5 CFG do better than 5 CFG and vice versa. Experiment yourself! |
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|
|
| ## License |
|
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| Model weights are released under the [CircleStone Labs Non-Commercial License](https://huggingface.co/circlestone-labs/Anima/blob/main/LICENSE.md), falling under **derivative model** category. |
|
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| ## Acknowledgements |
|
|
| Built on [nvidia/Cosmos-Predict2-2B-Text2Image](https://huggingface.co/nvidia/Cosmos-Predict2-2B-Text2Image) and [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima). |
|
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| [LLaMA Pro: Progressive LLaMA with Block Expansion](https://arxiv.org/abs/2401.02415). |
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| Training infrastructure built on [sd-scripts](https://github.com/kohya-ss/sd-scripts). |
