ModelListadosExterno

Lens Turbo DF11

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

Fontehuggingface.co/mingyi456/Lens-Turbo-DF11-ComfyUI/tree/f0d16b713667c4468246386fa870d0400efcc163

TipoUNetModelo basemicrosoft/Lens-TurboVersãoBF16Bnota

Fonte do modelo

Tipo: UNet
Tamanho do arquivo: 5,37 GB
Modelo base: microsoft/Lens-Turbo
Versão: vBF16
Atualizado: 2 de out. de 2026
Downloads: 9
Fonte: Hugging Face

Descrição da fonte

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",
    ),
}

Fontes

1 fonte

Hugging FacePrimárioVersão f0d16b713667c4468246386fa870d0400efcc163

huggingface.co/mingyi456/Lens-Turbo-DF11-ComfyUI/tree/f0d16b713667c4468246386fa870d0400efcc163

Verificado 2 de out.

Artefatos de modelo

1 artefato

lens_turbo_bf16-DF11.safetensors

safetensors · BF16 · 5,37 GB · SHA-256 855a37ce3f26…306c · Hugging Face

Baixar

Trechos de fonte

3 trechos

Readme16 de jul.huggingface.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", ), } ```

Note2 de out.huggingface.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

Note16 de jul.huggingface.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