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fofr/sdxl-multi-controlnet-lora

An advanced implementation combining Stable Diffusion XL with multiple ControlNet models and LoRA adaptation capabilities for precise control over high-quality image generation. This model enables simultaneous application of multiple conditioning signals (such as edges, depth, pose, or segmentation masks) to guide SDXL's generation process, all while maintaining the option for additional style adaptation through LoRA. The implementation offers exceptional flexibility and control while preserving SDXL's high-resolution output quality and detailed generation capabilities.

Technical Specifications:

  • Base Model: Stable Diffusion XL
  • Control Implementation: Multiple simultaneous ControlNet conditionings
  • LoRA Integration: Style and domain adaptation capabilities
  • Resolution: SDXL native resolution (up to 1024x1024)
  • Control Types: Support for diverse conditioning signals simultaneously
  • Applications: Precisely controlled creative content, guided visualization, complex compositions
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