BEYOND REALITY Z IMAGE DF11
For more information (including how to compress models yourself), check out and
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 7,81 GB
- Modelo base
- Nurburgring/BEYOND_REALITY_Z_IMAGE
- Versión
- vRevision eaa0e0a
- Actualizado
- 2 oct 2026
- Descargas
- 168
- Tareas
- Texto a imagen
- Fuente
- Hugging Face
Descripción de la fuente
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, 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
Refer to this model instead.
Compression Details
This is the pattern_dict for compressing Z-Image-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.0"
),
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.0"
)
}
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 2 oct
Artefactos del modelo
3 artefactos
Artefactos del modelo
3 artefactosBEYOND REALITY SUPER Z IMAGE 1.0 浓妆淡抹总相宜_BF16-DF11.safetensors
safetensors · 7,81 GB · SHA-256 c53dcc68ec92…abfd · Hugging Face
DescargarBEYOND REALITY SUPER Z IMAGE 2.0 淡妆浓抹总相宜 BF16-DF11.safetensors
safetensors · 7,81 GB · SHA-256 9eae63758055…c098 · Hugging Face
DescargarBEYOND REALITY SUPER Z IMAGE 3.0 淡妆浓抹 BF16-DF11.safetensors
safetensors · 7,81 GB · SHA-256 45ef3f0e6d39…cc78 · Hugging Face
DescargarExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: apache-2.0 language: - en - zh pipeline_tag: text-to-image tags: - comfyui - diffusion-single-file base_model: - Nurburgring/BEYOND_REALITY_Z_IMAGE 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, 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` Refer to this [model](mingyi456/BEYOND_REALITY_Z_IMAGE-DF11) instead. ### Compression Details This is the `pattern_dict` for compressing Z-Image-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.0" ), 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.0" ) } ```
Source context: 168 downloads · 6 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/BEYOND_REALITY_Z_IMAGE-DF11-ComfyUI
Source context: 48 downloads · 6 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/BEYOND_REALITY_Z_IMAGE-DF11-ComfyUI
