Z-Image-Fun
Collection
2 items
β’
Updated
The new control model with more control blocks and inpaint mode is released.
| Pose | Output |
![]() |
![]() |
| Pose | Output |
![]() |
![]() |
| Canny | Output |
![]() |
![]() |
| HED | Output |
![]() |
![]() |
| Depth | Output |
![]() |
![]() |
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.
π¦ models/
βββ π Diffusion_Transformer/
β βββ π Z-Image-Turbo/
βββ π Personalized_Model/
β βββ π¦ Z-Image-Turbo-Fun-Controlnet-Union.safetensors
Then run the file examples/z_image_fun/predict_t2i_control.py.