ModelPrésentéExterne

NetaYume Lumina Image 2.0 DF11

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

Sourcehuggingface.co/mingyi456/NetaYume-Lumina-Image-2.0-DF11-ComfyUI/tree/672a4db8aa9abc9f5c11e390d2532e439b530f92

TypeOtherModèle de baseduongve/NetaYume-Lumina-Image-2.0VersionRevision 672a4dbBClasse

Source du modèle

Type: Other
Taille du fichier: 3,32 GB
Modèle de base: duongve/NetaYume-Lumina-Image-2.0
Version: vRevision 672a4db
Mis à jour: 25 oct. 2026
Téléchargements: 59
Source: Hugging Face

Description de la source

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 my own fork of the DF11 ComfyUI custom node: https://github.com/mingyi456/ComfyUI-DFloat11-Extended. After installing the DF11 custom node, use the provided workflow json, or simply replace the "Load Checkpoint" node of an existing workflow with the "Load Checkpoint with DFloat11 Unet" node. If you run into any issues, feel free to leave a comment. The workflow is also embedded in the below png image.

`diffusers`

Refer to this model instead.

Compression Details

This is the pattern_dict for compressing Lumina2-based models in ComfyUI:

pattern_dict_comfyui = {
    r"noise_refiner\.\d+": (
        "attention.qkv",
        "attention.out",
        "feed_forward.w1",
        "feed_forward.w2",
        "feed_forward.w3",
        "adaLN_modulation.1"
    ),
    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.1"
    )
}

Sources

1 source

Hugging FacePrincipalVersion 672a4db8aa9abc9f5c11e390d2532e439b530f92

huggingface.co/mingyi456/NetaYume-Lumina-Image-2.0-DF11-ComfyUI/tree/672a4db8aa9abc9f5c11e390d2532e439b530f92

Vérifié 25 oct.

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Artefacts du modèle

2 artefacts

NetaYumev35_pretrained_unet-DF11.safetensors

safetensors · 3,32 GB · SHA-256 cf19cdc3f590…2a7a · Hugging Face

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NetaYumev4_unet-DF11.safetensors

safetensors · 3,32 GB · SHA-256 bdfbc9470472…3cec · Hugging Face

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Extraits de sources

3 extraits

Readme17 juil.huggingface.co/mingyi456/NetaYume-Lumina-Image-2.0-DF11-ComfyUI

--- license: apache-2.0 language: - en - zh pipeline_tag: text-to-image tags: - comfyui - diffusion-single-file base_model: - duongve/NetaYume-Lumina-Image-2.0 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 my own fork of the DF11 ComfyUI custom node: https://github.com/mingyi456/ComfyUI-DFloat11-Extended. After installing the DF11 custom node, use the provided workflow [json](NetaYumev35_pretrained_unet-DF11-workflow.json), or simply replace the "Load Checkpoint" node of an existing workflow with the "Load Checkpoint with DFloat11 Unet" node. If you run into any issues, feel free to leave a comment. The workflow is also embedded in the below [png](NetaYumev35_pretrained_unet-DF11-workflow.png) image. ![](NetaYumev35_pretrained_unet-DF11-workflow.png) #### `diffusers` Refer to this [model](https://huggingface.co/mingyi456/NetaYume-Lumina-Image-2.0-DF11) instead. ### Compression Details This is the `pattern_dict` for compressing Lumina2-based models in ComfyUI: ```python pattern_dict_comfyui = { r"noise_refiner\.\d+": ( "attention.qkv", "attention.out", "feed_forward.w1", "feed_forward.w2", "feed_forward.w3", "adaLN_modulation.1" ), 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.1" ) } ```

Note25 oct.huggingface.co/mingyi456/NetaYume-Lumina-Image-2.0-DF11-ComfyUI

Source context: 59 downloads · 0 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/NetaYume-Lumina-Image-2.0-DF11-ComfyUI

Note7 aoûthuggingface.co/mingyi456/NetaYume-Lumina-Image-2.0-DF11-ComfyUI

Source context: 52 downloads · 0 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/NetaYume-Lumina-Image-2.0-DF11-ComfyUI