Z Image Turbo 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
- Tongyi-MAI/Z-Image-Turbo
- Versión
- vRevision 07afa2b
- Actualizado
- 21 oct 2026
- Descargas
- 92
- 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, use the provided workflow json, or 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. 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 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 21 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoz_image_turbo_bf16-DF11.safetensors
safetensors · 7,81 GB · SHA-256 6386d48058a3…ccf8 · 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: - Tongyi-MAI/Z-Image-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 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](z_image_turbo_bf16-DF11-workflow.json), or 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. The workflow is also embedded in the below [png](z_image_turbo_bf16-DF11-workflow.png) image.  #### `diffusers` Refer to this [model](https://huggingface.co/mingyi456/Z-Image-Turbo-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: 92 downloads · 25 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Z-Image-Turbo-DF11-ComfyUI
Source context: 118 downloads · 23 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Z-Image-Turbo-DF11-ComfyUI
