Instructions to use Bedovyy/Anima-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Bedovyy/Anima-FP8 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# FP8 Quantized model of ANIMA
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There's two model. FP8 and FP8Mixed.
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## Quantized layers
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Tested on
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- RTX5090 (400W), ComfyUI with torch2.10.0+cu130
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- Generates 832x1216, 30steps, cfg 4.0, er
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| Dtype (Quant) | Sage Attn | it/s | Time (s) | Relative Speedup (%) |
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| ------------- | --------- | ---- | -------- | -------------------- |
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# FP8 Quantized model of ANIMA
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There's two model. FP8 and FP8Mixed.
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FP8Mixed quantized smaller layer, so expect better quality.
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## Quantized layers
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Tested on
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- RTX5090 (400W), ComfyUI with torch2.10.0+cu130
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- Generates 832x1216, 30steps, cfg 4.0, er sde, simple
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| Dtype (Quant) | Sage Attn | it/s | Time (s) | Relative Speedup (%) |
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| ------------- | --------- | ---- | -------- | -------------------- |
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