Z Image Fun Controlnet Union 2.1 EU AI Act Compliance Profile

Z-Image-Fun-Controlnet-Union-2.1

Model Card

| Name | Description | |--|--| | Z-Image-Fun-Controlnet-Union-2.1.safetensors | ControlNet weights for Z-Image. The model supports multiple control conditions such as Canny, Depth, Pose, MLSD, Scribble, Hed and Gray. This ControlNet is added on 15 layer blocks and 2 refiner layer blocks. | | Z-Image-Fun-Controlnet-Union-2.1-lite.safetensors | Compared to the large version of the model, fewer layers have control added, resulting in weaker control conditions. This makes it suitable for larger control_context_scale values, and the generation results appear more natural. It is also suitable for lower-spec machines. | | Z-Image-Fun-Controlnet-Tile-2.1.safetensors | A Tile model trained on high-definition datasets (up to 2048×2048) for super-resolution. | | Z-Image-Fun-Controlnet-Tile-2.1-lite.safetensors | Applied control latents to fewer layers, resulting in weaker control. This allows for larger control_context_scale values with more natural results, and is also better suited for lower-spec machines. |

Model Features

• This ControlNet is added on 15 layer blocks and 2 refiner layer blocks (Lite models are added on 3 layer blocks and 2 refiner blocks). It supports multiple control conditions—including Canny, Depth, Pose, MLSD, Scribble, Hed and Gray can be used like a standard ControlNet.
• Inpainting mode is also supported. When using inpaint mode, please use a larger control_context_scale, as this will result in better image continuity.
• You can adjust control_context_scale for stronger control and better detail preservation. For better stability, we highly recommend using a detailed prompt. The optimal range for control_context_scale is from 0.65 to 1.00.

Results

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