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README.md
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base_model:
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- nvidia/Cosmos-Predict2-2B-Text2Image
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base_model_relation: quantized
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---
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base_model:
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- nvidia/Cosmos-Predict2-2B-Text2Image
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base_model_relation: quantized
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---
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For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11
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Feel free to request for other models for compression as well, although models whose architecture I am unfamiliar with might be slightly tricky for me.
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### How to Use
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#### ComfyUI
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Install the ComfyUI DFloat11 Extended node via the ComfyUI manager. After installing, simply replace the "Load Diffusion Model" node of an existing workflow with the "Load Diffusion Model" node. If you run into any issues, feel free to leave a comment.
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#### `diffusers`
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Refer to this [model](https://huggingface.co/mingyi456/Cosmos-Predict2-2B-Text2Image-DF11) instead.
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### Compression Details
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This is the `pattern_dict` for compression:
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```python
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pattern_dict_comfyui = {
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"t_embedder\.1": (
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"linear_1",
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"linear_2",
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),
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r"blocks\.\d+": (
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"self_attn.q_proj",
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"self_attn.k_proj",
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"self_attn.v_proj",
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"self_attn.output_proj",
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"cross_attn.q_proj",
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"cross_attn.k_proj",
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"cross_attn.v_proj",
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"cross_attn.output_proj",
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"mlp.layer1",
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"mlp.layer2",
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"adaln_modulation_self_attn.1",
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"adaln_modulation_self_attn.2",
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"adaln_modulation_cross_attn.1",
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"adaln_modulation_cross_attn.2",
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"adaln_modulation_mlp.1",
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"adaln_modulation_mlp.2",
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)
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}
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```
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