metadata
license: other
license_name: nvidia-open-model-license
license_link: >-
https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
language:
- en
pipeline_tag: text-to-image
tags:
- comfyui
- diffusion-single-file
base_model:
- nvidia/Cosmos-Predict2-2B-Text2Image
base_model_relation: quantized
For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11
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.
How to Use
ComfyUI
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.
diffusers
Refer to this model instead.
Compression Details
This is the pattern_dict for compression:
pattern_dict_comfyui = {
"t_embedder\.1": (
"linear_1",
"linear_2",
),
r"blocks\.\d+": (
"self_attn.q_proj",
"self_attn.k_proj",
"self_attn.v_proj",
"self_attn.output_proj",
"cross_attn.q_proj",
"cross_attn.k_proj",
"cross_attn.v_proj",
"cross_attn.output_proj",
"mlp.layer1",
"mlp.layer2",
"adaln_modulation_self_attn.1",
"adaln_modulation_self_attn.2",
"adaln_modulation_cross_attn.1",
"adaln_modulation_cross_attn.2",
"adaln_modulation_mlp.1",
"adaln_modulation_mlp.2",
)
}