NetaYume Lumina Image 2.0 DF11
For more information (including how to compress models yourself), check out and
Model source
- Kind
- Other
- File size
- 3.32 GB
- Base model
- duongve/NetaYume-Lumina-Image-2.0
- Version
- vRevision 672a4db
- Updated
- Oct 25, 2026
- Downloads
- 59
- 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 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
Sources
1 sourceVerified Oct 25
Download files
Model artifacts
2 artifacts
Model artifacts
2 artifactsNetaYumev35_pretrained_unet-DF11.safetensors
safetensors · 3.32 GB · SHA-256 cf19cdc3f590…2a7a · Hugging Face
Download fileNetaYumev4_unet-DF11.safetensors
safetensors · 3.32 GB · SHA-256 bdfbc9470472…3cec · Hugging Face
Download fileSource excerpts
3 excerpts
Source excerpts
3 excerpts--- 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.  #### `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" ) } ```
Source context: 59 downloads · 0 likes · Pipeline text-to-image · Library diffusion-single-file · Repo 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
