Img2Img-ControlNetXL-Union — Img2Img AI Model
One ControlNet XL model covering six conditioning modes — canny, depth, openpose, hed, normal and segment — so a control image plus a prompt steers SDXL without swapping checkpoints. Outputs up to 1024×1024.
Details
- CategoryImg2Img
- Year2024
- LicenseApache-2.0
Compliance & Provenance
- ProviderOpen-source (xinsir) · Specialized
- EU AI Act RiskMinimal Risk
- Art. 50 TransparencyNot applicable
Inputs & Outputs
- Control ImageInput · image
Preprocessed control image matching the selected condition mode: a canny edge map, depth map, pose skeleton, HED edge map, normal map, or segmentation mask. Use an Annotator node to generate this from a source image.
- TextInput · string
Text prompt describing the desired output image. SDXL responds best to detailed English prompts. Include subject, style, lighting, and mood. Negative prompt is available as an advanced parameter.
- ImageOutput · image
Generated image guided by the control image and text prompt, at the specified width × height.
Tags
Alternatives in Image Control
- ControlNet XL Canny
Guided SDXL image generation from a Canny edge map + text prompt. Sharper structural adherence than Union. Outputs up to 1024×1024.
- Depth Anything Annotator
Monocular depth estimation (Depth Anything V1 Large).