mirror of
https://github.com/hanzoui/workflow-templates-broken-zap-2026-06-08.git
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2070 lines
42 KiB
JSON
2070 lines
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"## Controlnet Preprocessor\n\n**Preprocess inputs** if needed: extract features like canny edges or depth from an image to create clean guidance signals for ControlNet.\n\n1. Un/bypass Controlnet Preprocessor nodes(Select nodes then Ctrl-B).\n2. Disconnect inpaint_image & mask from ZImageFunControlnet when.\n3. Hit run\n4. Explore a different prompt 👾\n\n**Controlnet Strength**\n\nstrength: 0.5 – 1.5\n- higher for strict adherence\n- 1.0 default for balanced control)"
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"You can test and find the best setting by yourself. The following table is for reference.\n| Parameters | Basic Diffusion | Inpainting |\n|--------|---------|------------\n| Ksampler: denoise | 1.0 | 0.5 - 1.0 \nModelSampling: shift | 3.0 | 3.0 - 10.0 |"
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"## Load Image\n\n1. Load the Image 🌠\n\n## Create Mask\n\n1. **Right-click** on the Load Image node to open right-click menu\n\n2. Choose Open in Mask Editor\n\n3. Draw mask over the eyes\n\n4. Save Mask\n\n5. **Hit Run**"
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"## Inpainting\n\nInpainting lets you edit specific image parts by regenerating them via a mask and prompt, while keeping the rest intact.\nIt predicts denoised pixels only in masked areas, blending with surrounding context.\n\n## ControlNet\n\nControlNet adds structural guides like edges or poses to direct generation alongside the prompt.\nIt conditions denoising to match provided hints."
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