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ControlNet
ControlNet: A Complete Guide
Stable Diffusion Art April 23, 2026
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Comprehensive guide on using ControlNet alongside text prompts, covering canny edge, depth maps, OpenPose, and how to balance text prompt influence with spatial control for precise image composition.
Prompt
ControlNet + Prompt Integration Guide: **Preprocessor Types**: 1. Canny Edge: Extract edges for structure-guided generation 2. Depth Map: Use depth information for 3D-aware composition 3. OpenPose: Transfer human poses to generated characters 4. Scribble: Sketch-to-image with prompt guidance 5. Segmentation: Semantic region-based generation **Balancing Text vs Control**: - Control Weight (0-2): How much ControlNet influences output - Guidance Start/End: When ControlNet kicks in/stops during denoising - Low control weight + strong prompt = more creative freedom - High control weight + simple prompt = strict spatial adherence **Best Practices**: - Match your prompt to the control input (don't fight the structure) - Use control weight 0.5-0.7 for natural results - Combine multiple ControlNets for complex compositions
How to Use
Select a preprocessor matching your input type, adjust control weight for the balance between structure and creativity, and write prompts that complement the spatial input.
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