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"size": [ 370, 307.47395833333337 ], "title": "optional", "type": "MarkdownNote", "widgets_values": [ "## 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)" ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 114, "inputs": [], "mode": 0, "order": 5, "outputs": [], "pos": [ 11280.998678233347, -1136.0000874424286 ], "properties": {}, "size": [ 290, 165.15625 ], "title": "Workflow Settings", "type": "MarkdownNote", "widgets_values": [ "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 |" ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 116, "inputs": [], "mode": 0, "order": 6, "outputs": [], "pos": [ 9480.999280071235, -1126.00013163414 ], "properties": {}, "size": [ 290, 233.64583333333337 ], "title": "Step 1 - Load Images & Create Mask", "type": "MarkdownNote", "widgets_values": [ "## 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**" ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 117, "inputs": [], "mode": 0, "order": 7, "outputs": [], "pos": [ 9160.998964165963, -686.0000216468962 ], "properties": {}, "size": [ 280, 237.64322916666669 ], "title": "🔍 Core Concept", "type": "MarkdownNote", "widgets_values": [ "## 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." ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 121, "inputs": [], "mode": 0, "order": 8, "outputs": [], "pos": [ 9160.998964165963, -856.0000272803192 ], "properties": {}, "size": [ 280, 52 ], "title": "ℹī¸ Info", "type": "MarkdownNote", "widgets_values": [ "This is an **Inpainting** & **Controlnet** workflow for advanced guidance in diffusion models using Z Image Turbo." ] }, { "flags": { "collapsed": false }, "id": 106, "inputs": [ { "link": 152, "name": "mask", "type": "MASK" } ], "mode": 0, "order": 18, "outputs": [], "pos": [ 9490.998911497016, -366.00003012413003 ], "properties": { "Node name for S&R": "MaskPreview" }, "size": [ 270, 246 ], "type": "MaskPreview", "widgets_values": [] }, { "flags": { "collapsed": true }, "id": 108, "inputs": [ { "link": 153, "name": "image", "type": "IMAGE" }, { "link": 154, "name": "mask", "type": "MASK" } ], "mode": 0, "order": 15, "outputs": [ { "links": [ 146, 150, 159 ], "name": "IMAGE", "type": "IMAGE" }, { "links": [ 151, 152, 160 ], "name": "MASK", "type": "MASK" } ], "pos": [ 9500.999407942818, -426.0000893563687 ], "properties": { "proxyWidgets": [ [ "-1", "width" ], [ "-1", "height" ], [ "-1", "method" ] ] }, "size": [ 112.861328125, 0 ], "type": "b2b04275-4dea-49ba-a3fd-ce0b2f1e39dc", "widgets_values": [ 1024, 1024, "keep proportion" ] }, { "flags": {}, "id": 103, "inputs": [], "mode": 0, "order": 9, "outputs": [ { "links": [ 156 ], "name": "MODEL_PATCH", "type": "MODEL_PATCH" } ], "pos": [ 9830.999355273872, -416.0000254205777 ], "properties": { "Node name for S&R": "ModelPatchLoader", "models": [ { "directory": "model_patches", "name": "Z-Image-Turbo-Fun-Controlnet-Union-2.1.safetensors", "url": "https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/resolve/main/Z-Image-Turbo-Fun-Controlnet-Union-2.1.safetensors" } ] }, "size": [ 270, 50 ], "type": "ModelPatchLoader", "widgets_values": [ "Z-Image-Turbo-Fun-Controlnet-Union-2.1.safetensors" ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 120, "inputs": [], "mode": 0, "order": 10, "outputs": [], "pos": [ 10160.353132650338, -1047.7561514249724 ], "properties": {}, "size": [ 300, 140 ], "title": "Step 2 - Inpaint Conditioning", "type": "MarkdownNote", "widgets_values": [ "## Inpaint Model Conditioning\n\n**Condition the model for targeted edits:** combine positive/negative prompts with the masked latent image and VAE to focus denoising on selected areas." ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 119, "inputs": [], "mode": 0, "order": 11, "outputs": [], "pos": [ 10500.351846387155, -1047.7561514249724 ], "properties": {}, "size": [ 370, 120 ], "title": "Step 3 - Controlnet 🕹ī¸", "type": "MarkdownNote", "widgets_values": [ "## Controlnet\n\n**Apply structural controls:** load a ControlNet model (e.g. Z-Image-Turbo-Fun-Controlnet-Union.safetensors) and integrate it into the conditioning to guide shapes during generation." ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 113, "inputs": [], "mode": 0, "order": 12, "outputs": [], "pos": [ 10910.999340179147, -1226.0001222270355 ], "properties": {}, "size": [ 330, 290 ], "title": "Step 4 - 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