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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## Quantized layers
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### fp8
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```json
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{
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"format": "comfy_quant",
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"block_names": ["net.blocks."],
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"rules": [
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{ "policy": "keep", "match": ["blocks.0", "blocks.1."] },
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{ "policy": "float8_e4m3fn", "match": ["q_proj", "k_proj", "v_proj", "
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{ "policy": "nvfp4", "match": [] }
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]
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}
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"format": "comfy_quant",
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"block_names": ["net.blocks."],
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"rules": [
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{ "policy": "keep", "match": ["blocks.0."] },
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{ "policy": "
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{ "policy": "nvfp4", "match": [
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]
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}
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```
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## Quantized layers
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quantized by [comfy-dit-quantizer](https://github.com/bedovyy/comfy-dit-quantizer)
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### fp8
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```json
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{
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"format": "comfy_quant",
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"block_names": ["net.blocks."],
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"rules": [
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{ "policy": "keep", "match": ["blocks.0.", "blocks.1.", "blocks.27.", "adaln_modulation"] },
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{ "policy": "float8_e4m3fn", "match": ["q_proj", "k_proj", "v_proj", "output_proj", ".mlp"] },
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{ "policy": "nvfp4", "match": [] }
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]
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}
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"format": "comfy_quant",
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"block_names": ["net.blocks."],
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"rules": [
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{ "policy": "keep", "match": ["blocks.0.", "blocks.1.", "blocks.27.", "adaln_modulation"] },
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{ "policy": "mxfp8", "match": ["q_proj", "k_proj", "v_proj", "output_proj", ".mlp"] },
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{ "policy": "nvfp4", "match": [] }
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]
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}
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```
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