Create stunning AI-generated images with ControlNet for Stable Diffusion, utilizing stacked ControlNet models such as Depth and Canny. This workflow ensures that generated images follow the structure and details of a reference image, perfect for concept artists, illustrators, and AI enthusiasts.

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🎯 Features

• Multi-ControlNet Stacking – Uses Depth and Canny ControlNet for enhanced structure-based image generation.
• High-Fidelity Image Transformation – Maintains original composition while allowing creative modifications.
• Customizable Prompts – Fine-tune prompts for precise artistic direction.
• Stable Diffusion SDXL Support – Works with SDXL models for high-resolution outputs.

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💡 Use Cases

• Concept Art Creation – Generate fantasy landscapes or characters based on sketches.
• Photo-to-Art Transformations – Convert real images into stylized digital paintings.
• AI-Assisted Illustration – Enhance outlines with AI-generated details.
• Product Mockups – Generate detailed product designs from simple sketches.

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⚙️ How It Works

1. Load the Checkpoint Model – Select a Stable Diffusion model like Juggernaut_X_RunDiffusion.
2. Prepare Your Image – Upload a reference image to guide the generation process.
3. Apply Preprocessors – Use CannyEdgePreprocessor and DepthAnythingPreprocessor for detailed image structure analysis.
4. Stack ControlNets – Utilize Multi-ControlNet Stack to enhance structure adherence.
5. Refine with Conditioning – Use positive and negative text prompts to guide the image’s style.
6. Run the Sampler – Generate the final image with the DPM++ 2M sampler for high-quality output.
7. Preview and Save – Review and export your AI-generated masterpiece.

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Credits: pixaroma