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Lens Turbo DF11

For more information (including how to compress models yourself), check out and

Sourcehuggingface.co/mingyi456/Lens-Turbo-DF11-ComfyUI/tree/f0d16b713667c4468246386fa870d0400efcc163
KindUNetBase modelmicrosoft/Lens-TurboVersionBF16Bgrade

Model source

Kind
UNet
File size
5.37 GB
Base model
microsoft/Lens-Turbo
Version
vBF16
Updated
Oct 2, 2026
Downloads
9
Source
Hugging Face

Source description

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

Currently, this model is not supported in diffusers.

Compression Details

This is the pattern_dict for compression:

pattern_dict_comfyui = {
    r"txt_in": [],
    r"transformer_blocks\.\d+": (
        "attn.img_qkv",
        "attn.txt_qkv",
        "attn.to_out.0",
        "img_mod.1",
        "img_mlp.w1",
        "img_mlp.w2",
        "img_mlp.w3",
        "txt_mod.1",
        "txt_mlp.w1",
        "txt_mlp.w2",
        "txt_mlp.w3",
    ),
}

Sources

1 source
Hugging FacePrimaryVersion f0d16b713667c4468246386fa870d0400efcc163
huggingface.co/mingyi456/Lens-Turbo-DF11-ComfyUI/tree/f0d16b713667c4468246386fa870d0400efcc163

Verified Oct 2

Model artifacts

1 artifact

lens_turbo_bf16-DF11.safetensors

safetensors · BF16 · 5.37 GB · SHA-256 855a37ce3f26…306c · Hugging Face

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Source excerpts

3 excerpts
ReadmeJul 16huggingface.co/mingyi456/Lens-Turbo-DF11-ComfyUI

--- license: mit language: - en pipeline_tag: text-to-image tags: - comfyui - diffusion-single-file base_model: - microsoft/Lens-Turbo 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` Currently, this model is not supported in `diffusers`. ### Compression Details This is the `pattern_dict` for compression: ```python pattern_dict_comfyui = { r"txt_in": [], r"transformer_blocks\.\d+": ( "attn.img_qkv", "attn.txt_qkv", "attn.to_out.0", "img_mod.1", "img_mlp.w1", "img_mlp.w2", "img_mlp.w3", "txt_mod.1", "txt_mlp.w1", "txt_mlp.w2", "txt_mlp.w3", ), } ```

NoteOct 2huggingface.co/mingyi456/Lens-Turbo-DF11-ComfyUI

Source context: 9 downloads · 1 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Lens-Turbo-DF11-ComfyUI

NoteJul 16huggingface.co/mingyi456/Lens-Turbo-DF11-ComfyUI

Source context: 88 downloads · 1 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Lens-Turbo-DF11-ComfyUI