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jagilley/controlnet-scribble
An implementation of ControlNet architecture specialized for transforming simple scribble drawings into detailed images guided by text prompts. ControlNet-Scribble allows for precise control over image generation by conditioning the diffusion process on rough sketches or line drawings, enabling the creation of images that maintain the basic structure and composition of the input scribble while adding detailed elements based on the text prompt. This model excels at turning basic drawings into elaborate images while respecting the original layout and spatial relationships defined by the input sketch.
Technical Specifications:
- Architecture: ControlNet conditioning architecture
- Base Model: Stable Diffusion with specialized conditioning
- Input Type: Black and white scribble/sketch images
- Control Mechanism: Spatial conditioning based on line structure
- Resolution: Up to 768x768 pixels
- Implementation: Optimized for sketch-to-image transformation
- Applications: Concept art development, design ideation, artistic creation
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