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fermatresearch/sdxl-controlnet-lora
An advanced implementation that combines Stable Diffusion XL with ControlNet and LoRA (Low-Rank Adaptation) technologies to enable precise control over image generation. This model integrates SDXL's high-quality generation capabilities with ControlNet's ability to guide the generation process using conditional inputs like edges, depth maps, or pose information. The addition of LoRA allows for efficient fine-tuning and style adaptation without modifying the base model weights. This combination delivers exceptional control over both the content and style of generated images while maintaining SDXL's core quality advantages.
Technical Specifications:
- Base Model: Stable Diffusion XL
- Integration: ControlNet conditional guidance + LoRA adaptation
- Control Types: Multiple conditioning types (edge, depth, pose, etc.)
- LoRA Implementation: Low-rank adaptation for efficient style control
- Resolution: Up to 1024x1024 with SDXL quality characteristics
- Applications: Precisely controlled generation, style adaptation, guided image creation
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