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Sponsored by
Vmake Labs Video Enhancer
alibaba-pai / Z-Image-Fun-Lora-Distill
Model's Last Updated: March 02 2026
text-to-image
Introduction of Z-Image-Fun-Lora-Distill
Model Details of Z-Image-Fun-Lora-Distill
Z-Image-Fun-Lora-Distill
Model Card
| Name | Description |
|---|---|
| Z-Image-Fun-Lora-Distill-8-Steps.safetensors | This is a Distill LoRA for Z-Image that distills both steps and CFG. This model does not require CFG and uses 8 steps for inference. |
Model Features
- This is a Distill LoRA for Z-Image that distills both steps and CFG. It does not use any Z-Image-Turbo related weights and is trained from scratch. It is compatible with other Z-Image LoRAs and Controls .
- This model will slightly reduce the output quality and change the output composition of the model. For specific comparisons, please refer to the Results section. In most cases, the Distill LoRA performs well; currently, the biggest issue is that it may make the generated results brighter.
- The purpose of this model is to provide fast generation compatibility for Z-Image derivative models, not to replace Z-Image-Turbo.
TODO
- Optimize the output brightness;
- Train a 4-step LoRA.
Results
Work itself
| Output 25 steps | Output 8 steps |
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| Output 25 steps | Output 8 steps |
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| Output 25 steps | Output 8 steps |
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| Output 25 steps | Output 8 steps |
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Work with Controlnet
| Pose + Inpaint | Output 25 steps | Output 8 steps |
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| Pose + Inpaint | Output 25 steps | Output 8 steps |
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| Pose | Output 25 steps | Output 8 steps |
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| Pose | Output 25 steps | Output 8 steps |
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| Canny | Output | Output 8 steps |
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| Depth | Output | Output 8 steps |
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Inference
Go to the VideoX-Fun repository for more details.
Please clone the VideoX-Fun repository and create the required directories:
# Clone the code
git clone https://github.com/aigc-apps/VideoX-Fun.git
# Enter VideoX-Fun's directory
cd VideoX-Fun
# Create model directories
mkdir -p models/Diffusion_Transformer
mkdir -p models/Personalized_Model
Then download the weights into models/Diffusion_Transformer and models/Personalized_Model.
📦 models/
├── 📂 Diffusion_Transformer/
│ └── 📂 Z-Image/
├── 📂 Personalized_Model/
│ ├── 📦 Z-Image-Fun-Lora-Distill-8-Steps.safetensors
│ ├── 📦 Z-Image-Fun-Controlnet-Union-2.1.safetensors
│ └── 📦 Z-Image-Fun-Controlnet-Union-2.1-lite.safetensors
Set the lora_path="Personalized_Model/Z-Image-Fun-Lora-Distill-8-Steps.safetensors" in
examples/z_image_fun/predict_t2i_control_2.1.py
and
examples/z_image_fun/predict_i2i_inpaint_2.1.py
Then run the file
examples/z_image_fun/predict_t2i_control_2.1.py
and
examples/z_image_fun/predict_i2i_inpaint_2.1.py
.
Runs of alibaba-pai Z-Image-Fun-Lora-Distill on huggingface.co
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More Information About Z-Image-Fun-Lora-Distill huggingface.co Model
Url of Z-Image-Fun-Lora-Distill
Z-Image-Fun-Lora-Distill huggingface.co Url
Provider of Z-Image-Fun-Lora-Distill huggingface.co
Other API from alibaba-pai
Updated:February 26 2026
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