Lumina Image 2.0 DF11
For more information (including how to compress models yourself), check out and
Source du modèle
- Type
- Other
- Taille du fichier
- 3,31 GB
- Modèle de base
- Alpha-VLLM/Lumina-Image-2.0
- Version
- vRevision f1f19ef
- Mis à jour
- 17 oct. 2026
- Téléchargements
- 35
- Tâches
- Texte en image
- 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
Sources
1 sourceVérifié 26 sept.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactlumina_2_model_bf16-DF11.safetensors
safetensors · 3,31 GB · SHA-256 cf33f6d2bac4…98d2 · Hugging Face
Download fileExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: apache-2.0 language: - en - zh pipeline_tag: text-to-image tags: - comfyui - diffusion-single-file base_model: - Alpha-VLLM/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](lumina_2_model_bf16-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](lumina_2_model_bf16-DF11-workflow.png) image.  #### `diffusers` Refer to this [model](https://huggingface.co/mingyi456/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: 35 downloads · 0 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Lumina-Image-2.0-DF11-ComfyUI
