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mingyi456/
Z-Image-Distilled-DF11-ComfyUI

Name: Z-Image-Distilled-DF11-ComfyUI
Availability: InStock

diffusion-single-file

comfyui

text-to-image

GuangyuanSD/Z-Image-Distilled

quantized

apache-2.0

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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

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:

python

pattern_dict_comfyui = {
    r"noise_refiner\.\d+": (
        "attention.qkv",
        "attention.out",
        "feed_forward.w1",
        "feed_forward.w2",
        "feed_forward.w3",
        "adaLN_modulation.0"
    ),
    r"context_refiner\.\d+": (
        "attention.qkv",
        "attention.out",
        "feed_forward.w1",
        "feed_forward.w2",
        "feed_forward.w3",
    ),
    r"layers\.\d+": (
        "attention.qkv",
        "attention.out",
        "feed_forward.w1",
        "feed_forward.w2",
        "feed_forward.w3",
        "adaLN_modulation.0"
    )
}

mingyi456/Z-Image-Distilled-DF11-ComfyUI

How to Use

ComfyUI

diffusers

Compression Details

mingyi456/
Z-Image-Distilled-DF11-ComfyUI

`diffusers`