This is a simplified guide to an AI model called Flux-Multi-Pulid-Controlnet maintained by Mattheum. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Flux Multi PuLID ControlNet is a specialized adaptation of the PuLID system that enables multiple face ID customization with depth map integration and precise bounding box controls. This fork expands upon flux-pulid by adding support for up to ten distinct face swaps in a single generation.
Model inputs and outputs
The model accepts multiple reference face images, a depth map control image, and detailed bounding box coordinates to precisely position each face swap. It processes these inputs through the FLUX image generation pipeline with PuLID's ID preservation techniques.
Inputs
- Reference Images - Up to 10 face images for ID transfer
- Control Images - Optional depth map and canny edge guidance
- Bounding Boxes - X,Y coordinates and dimensions for each face placement
- Generation Parameters - Standard controls like guidance scale, steps, and seed
- Prompts - Text descriptions and negative prompts
Outputs
- Array of generated images in specified format (png/jpg/webp)
Capabilities
This implementation enables precise mul...
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