Fix critical bugs: canvas overlap, widget conflicts, README length
THREE MAJOR FIXES: 1. 🐛 FIXED WIDGET NAME CONFLICTS (Validation Error Fix) - ROOT CAUSE: Duplicate widget names "width" and "height" - Image dimension widgets: width, height (from INPUT_TYPES, at top) - Box dimension widgets: width, height (from CUSTOM_INT, at bottom) - SYMPTOM: "Value 0 smaller than min of 64" validation errors - When node created, box widgets initialized to 0 - ComfyUI validator checked BOTH widgets named "width" - Found box widget with value 0 (< 64 minimum) → FAIL - FIX: Renamed box widgets to avoid conflict - x → box_x - y → box_y - width → box_w - height → box_h - RESULT: No more naming conflicts, validation passes - Location: RegionalPrompting.js (lines 336-340 for both nodes) - Also fixed: Default strength fallback from 1.0 → 0.8 2. 🎨 FIXED CANVAS OVERLAP (Widget Obscuring Canvas) - ROOT CAUSE: MIN_SIZE = 200px was too small - Canvas minimum height only 200px - 5 widgets below canvas (index, box_x, box_y, box_w, box_h, strength) - Each widget ~29px → 145px total widget height - Only 55px left for actual canvas visibility - Widgets visually overlapped canvas area - SYMPTOM: User reported "widgets obscuring canvas view" - Canvas barely visible, looked "janky" - Strength slider overlapping grid - FIX: Increased MIN_SIZE from 200 → 450 - Guarantees 450px minimum canvas height - Widgets pushed further down, no overlap - Node auto-expands vertically to accommodate - Location: utils.js computeCanvasSize() (line 137) 3. 📝 DRASTICALLY SHORTENED README - BEFORE: 521 lines of verbose documentation - AFTER: 89 lines of concise, essential information - REDUCTION: 83% shorter - KEPT: Quick start, node descriptions, troubleshooting, examples - REMOVED: Verbose explanations, repetitive sections, fluff - RESULT: Respects user's time, much more usable IMPACT: - ✅ Validation errors fixed (widget naming conflict resolved) - ✅ Canvas fully visible (no widget overlap) - ✅ Clearer widget labels (box_x/box_y/box_w/box_h vs top width/height) - ✅ README actually usable (83% shorter) User can now: - Load workflows without validation errors - See the full canvas without obstruction - Understand widget purpose (box dimensions vs image dimensions) - Read documentation without scrolling for miles
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# Regional Conditioning for ComfyUI
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# ComfyUI Regional Conditioning
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**The simplest way to control exactly where things appear in your images.**
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Control different parts of your image with separate prompts using visual box drawing.
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Draw boxes on a canvas, type what you want in each region, and generate! Perfect for precise composition control in Stable Diffusion, SDXL, Flux, and Chroma.
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## Quick Start
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---
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1. **Install**: Clone to `ComfyUI/custom_nodes/` or use ComfyUI Manager
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2. **Add Node**: Search for "Regional Prompter"
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3. **Connect**: CLIP → Regional Prompter → Sampler
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4. **Draw**: Use canvas to position regions, type prompts
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5. **Generate**: Connect to your sampler and run
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## 📸 Example Workflow
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## Nodes
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<!-- WORKFLOW IMAGE GOES HERE -->
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<!-- Replace this comment with a screenshot showing the nodes connected -->
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<!-- Suggested: Side-by-side comparison of Easy Mode vs Advanced Mode workflows -->
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### Regional Prompter (Mask-Based)
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**For:** Flux, Chroma, SD3, SD3.5, Qwen-Image
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*Example workflow showing the simple 3-node setup: Checkpoint → CLIP → Regional Prompter → Sampler*
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**Inputs:**
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- `clip`: CLIP from checkpoint
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- `width`/`height`: Must match your latent dimensions
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- `soften_masks`: Feathering at edges (recommended ON)
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- `background_prompt`: Scene description
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- `region1-4_prompt`: Region-specific prompts
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---
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**Tips:**
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- Use CFG 1.0-3.5 with Flux (higher = blur)
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- Keep to 3-4 regions max for Flux/Chroma
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- Default strength 0.8 works well
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## 🚀 Quick Start (60 seconds)
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### Regional Prompter (Area-Based)
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**For:** SD1.5, SD2.x, SDXL
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### For Flux / Chroma (Modern Models)
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Same interface, uses area-based conditioning instead of masks.
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1. Load your Flux/Chroma checkpoint
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2. Add the **🎨 Regional Prompter (Flux/Chroma - Easy!)** node
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3. Connect CLIP from your checkpoint to the node
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4. Type in the background prompt: `"photo of a city street"`
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5. Draw a box on the canvas where you want something specific
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6. Type in Region 1 prompt: `"red sports car"`
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7. Draw another box for something else
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8. Type in Region 2 prompt: `"street vendor"`
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9. Connect the conditioning output to your sampler
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10. Generate! 🎉
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## Canvas Controls
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**That's it!** No external nodes, no complex wiring. Just prompts and boxes.
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- **index**: Select which region to edit
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- **box_x, box_y**: Region top-left position
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- **box_w, box_h**: Region dimensions
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- **strength**: Conditioning strength (0-10, default 0.8)
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### For SDXL / Stable Diffusion
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## Example Workflow
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Same steps, but use **🎨 Regional Prompter (SD/SDXL - Easy!)** instead.
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---
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## 📥 Sample Workflows (Download & Import)
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Ready-to-use workflow JSON files - just drag and drop into ComfyUI!
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<!-- WORKFLOW JSON LINKS GO HERE -->
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<!-- Add workflow JSON files to the repository and link them here -->
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- **[Flux Workflow](workflows/flux-regional-example.json)** - Flux.1-dev with 2 regions, optimized settings
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- **[SDXL Workflow](workflows/sdxl-regional-example.json)** - SDXL with 3 regions, area-based conditioning
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- **[Qwen-Image Workflow](workflows/qwen-regional-example.json)** - Experimental Qwen-Image setup (untested)
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*Don't have these files yet? Check the [examples](examples/) folder or create your own using the Quick Start guide above!*
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---
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## ✨ Why Use This?
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**Without Regional Conditioning:**
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- "A tiger and a berry bush in front of mountains"
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- → AI puts them wherever it wants (usually random placement)
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**With Regional Conditioning:**
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- Background: "Mountains"
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- Box 1 (left side): "Tiger"
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- Box 2 (right side): "Berry bush"
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- → AI puts them **exactly where you drew the boxes**
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**Perfect for:**
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- Character positioning in scenes
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- Multi-subject compositions
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- Product photography layouts
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- Architectural visualization
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- Comic/storyboard panels
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---
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## 📦 Installation
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### Method 1: ComfyUI Manager (Easiest)
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1. Open ComfyUI Manager
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2. Search for "Regional Conditioning"
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3. Click Install
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4. Restart ComfyUI
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### Method 2: Manual
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```bash
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cd ComfyUI/custom_nodes/
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git clone https://github.com/EnragedAntelope/ComfyUI_RegionalConditioning
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# Restart ComfyUI
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```
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Checkpoint Loader
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├→ CLIP → Regional Prompter (Mask-Based)
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│ ├ width: 1024
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│ ├ height: 1024
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│ ├ soften_masks: true
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│ ├ background: "city street"
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│ ├ region1: "red sports car"
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│ └ region2: "street vendor"
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├→ MODEL → KSampler ← conditioning
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└→ VAE → VAE Decode
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```
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---
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## Troubleshooting
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## 🎨 Which Node Should I Use?
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**Regions not showing:**
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- Check width/height match your latent exactly
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- Try lower CFG (1.0-2.0) with Flux
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- Verify boxes aren't outside image bounds
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### 🌟 RECOMMENDED: Enhanced Easy Nodes
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**Validation errors:**
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- Ensure width/height are multiples of 64
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- Check no regions overlap fullscreen
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These are the **easiest** way to use regional conditioning:
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**Blurry output:**
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- Lower CFG (Flux likes 1.0-3.5)
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- Try strength 0.6-0.8 instead of 1.0
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#### **🎨 Regional Prompter (Flux/Chroma - Easy!)**
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- ✅ For: Flux, Chroma, SD3, SD3.5
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- ✅ Type prompts directly in the node
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- ✅ Optimized for Flux (perfect mask strength and blending)
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- ✅ Just connect CLIP and go!
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## Advanced Nodes
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#### **🎨 Regional Prompter (SD/SDXL - Easy!)**
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- ✅ For: Stable Diffusion 1.5, SD 2.x, SDXL
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- ✅ Type prompts directly in the node
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- ✅ Same simple workflow
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- ✅ Perfect for traditional SD models
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Original nodes available for complex workflows:
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**Use these unless you have a specific reason not to.**
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### 🔧 Advanced Nodes (For Power Users)
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If you need more control or want to share CLIP encodings across multiple nodes:
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- **Multi Area Conditioning (SD/SDXL - Advanced)** - Area-based for traditional SD
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- **Multi Area Conditioning (Flux/Chroma - Advanced)** - Mask-based for modern models
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These require external CLIP Text Encode nodes but offer more flexibility.
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---
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## 🎯 Model Compatibility
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| Model Type | Node to Use | Status | Notes |
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|------------|-------------|--------|-------|
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| **Stable Diffusion 1.5** | 🎨 Regional Prompter (SD/SDXL) | ✅ Fully Supported | No region limit |
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| **Stable Diffusion 2.x** | 🎨 Regional Prompter (SD/SDXL) | ✅ Fully Supported | No region limit |
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| **SDXL** | 🎨 Regional Prompter (SD/SDXL) | ✅ Fully Supported | No region limit |
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| **Flux** (all variants) | 🎨 Regional Prompter (Flux/Chroma, etc.) | ✅ Fully Supported & Optimized | 3-4 regions max recommended |
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| **Chroma** (Radiance, etc.) | 🎨 Regional Prompter (Flux/Chroma, etc.) | ✅ Architecture Supported | Likely 3-4 region limit (untested) |
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| **SD3 / SD3.5** | 🎨 Regional Prompter (Flux/Chroma, etc.) | ✅ Architecture Supported | No known region limit |
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| **Qwen-Image** | 🎨 Regional Prompter (Flux/Chroma, etc.) | 🟡 Experimental | Try it and report results! |
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---
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## 💡 How to Use (Detailed)
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### Understanding the Canvas
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When you add a Regional Prompter node, you'll see:
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- **A canvas** (black rectangle) - This is your drawing area
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- **Prompt boxes** (text inputs) - Background + up to 4 regions
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- **Drawing controls** (below canvas) - Position and size your boxes
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### Drawing Your First Region
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1. **Start with background prompt:**
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- Type: `"photo of a sunny beach"`
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- This applies to the whole image
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2. **Add your first region:**
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- In Region 1 prompt, type: `"woman in red dress"`
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- Below the canvas, find the controls for Region 1
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- Set: `x=100, y=200, width=300, height=400`
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- You'll see a colored box appear on the canvas!
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3. **Adjust the box visually:**
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- Change the `index` dropdown to select which region to edit
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- Each region gets a unique color
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- The 64px grid helps you align precisely
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4. **Add more regions:**
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- Type in Region 2 prompt: `"beach umbrella"`
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- Adjust x/y/width/height to position it
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- Repeat for up to 4 regions total
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5. **Generate!**
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- Connect to your sampler and generate
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- Each prompt appears exactly where you drew it
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### Tips for Best Results
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#### For Flux Users:
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- ✅ **Keep "Soften Masks" ON** (it's on by default) - Uses 0.8 strength that works better than full strength
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- ✅ **Use 3-4 regions maximum** - More regions = quality degradation
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- ✅ **Increase CFG to 5-7** - Flux needs higher guidance for regional control
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- ✅ **Draw larger boxes** - Bigger regions = better control
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#### For Flux-Based Models (Chroma, etc.):
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- ✅ **Keep "Soften Masks" ON** - Works well with Flux-based architectures
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- ⚠️ **Likely 3-4 region limit** - Chroma is based on Flux, may have same limitations (untested)
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- ✅ **Start with Flux settings** - Increase CFG to 5-7, try and adjust
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#### For SDXL Users:
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- ✅ **Align to 64px grid** - Matches latent space boundaries
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- ✅ **No region limit** - Use as many as you need
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- ✅ **Normal CFG values** - 7-9 works great
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#### General Tips:
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- **Overlapping regions** are processed in order (Region 1 → 2 → 3 → 4)
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- **Strength slider** (0.0-10.0) controls region influence:
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- `1.0` = Normal (default)
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- `0.5` = Subtle hint
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- `2.0+` = Strong emphasis
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- `0.0` = Effectively disabled
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- **Leave prompts empty** to disable unused regions
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- **Fullscreen regions** (x=0, y=0, width=canvas, height=canvas) act as background
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---
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## 📚 All Available Nodes
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### Enhanced (Easy Mode) - RECOMMENDED
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#### 🎨 Regional Prompter (SD/SDXL - Easy!)
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**Perfect for Stable Diffusion and SDXL**
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**Inputs:**
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- `clip` - CLIP model from your checkpoint
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- `background_prompt` - Overall scene description (multiline text)
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- `region1_prompt` through `region4_prompt` - What appears in each box (optional)
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**Outputs:**
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- `conditioning` - Connect to your sampler
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- `width`, `height` - Canvas dimensions (for reference)
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**How it works:** Type prompts directly, draw boxes, done! The node handles all CLIP encoding internally.
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---
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#### 🎨 Regional Prompter (Flux/Chroma - Easy!)
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**Perfect for Flux, Chroma, and SD3**
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**Inputs:**
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- `clip` - CLIP model from your checkpoint *(from Load Checkpoint node)*
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- `width`, `height` - Output image dimensions *(just numbers - no latent needed!)*
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- `background_prompt` - Overall scene description (multiline text)
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- `region1_prompt` through `region4_prompt` - What appears in each box (optional)
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- `soften_masks` - Soften region edges (default: ON - RECOMMENDED!)
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**Outputs:**
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- `conditioning` - Connect to your KSampler's positive conditioning input
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**How the Workflow Connects:**
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```
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Load Checkpoint → CLIP
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↓
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Regional Prompter (Flux/Chroma)
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(Set width/height here, e.g., 1024x1024)
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↓
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conditioning
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↓
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KSampler (positive input)
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```
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**💡 About "Soften Masks" (IMPORTANT!):**
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- ✅ **KEEP ON (default):** Softer region edges, better blending (0.8 strength + gentle feather)
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- ❌ **Turn OFF only if:** You want sharp, harsh region boundaries (1.0 strength, no feather)
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- **Why it's better:** Research shows softer masks (0.8) produce better results than full-strength (1.0) for Flux
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- **For other models:** Works well with mask-based models - try it ON first, disable only if you prefer sharper edges
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- **What feathering does:** Gentle edge blending (5-8 pixels) to avoid harsh boundaries - you can disable by turning this toggle OFF
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**💡 Pro Tip - Auto Width/Height:**
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You can **connect** the width/height outputs from your **Empty Latent Image** node directly to this node's width/height inputs! No need to type them manually - they'll stay in sync automatically.
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---
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### Advanced Nodes (For Power Users)
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|
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#### Multi Area Conditioning (SD/SDXL - Advanced)
|
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Area-based conditioning for traditional Stable Diffusion models. Requires external CLIP Text Encode nodes.
|
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**Inputs:**
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- `conditioning0` - Base/background conditioning (connect CLIPTextEncode here)
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- `conditioning1`, `conditioning2`, etc. - Regional conditioning (add more via right-click menu)
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**Outputs:**
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- `conditioning` - Combined regional conditioning
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- `resolutionX`, `resolutionY` - Canvas dimensions
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**Right-Click Menu:**
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- Insert input above/below current
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- Swap with input above/below
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- Remove currently selected input
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- Remove all unconnected inputs
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---
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|
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#### Multi Area Conditioning (Flux/Chroma - Advanced)
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Mask-based conditioning for modern models. Requires external CLIP Text Encode nodes.
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**Inputs:**
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- `conditioning0` - Base/background conditioning
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- `conditioning1`, `conditioning2`, etc. - Regional conditioning
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- `width`, `height` - Output dimensions
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- `mask_strength` - Mask intensity (0.7-0.85 recommended for Flux, 1.0 for others)
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**Output:**
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- `conditioning` - Combined mask-based conditioning
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**How it works:** Boxes are automatically converted to binary masks. You draw visually, the node handles mask generation.
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---
|
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### Utility Nodes
|
||||
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#### Conditioning Upscale
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Scale conditioning areas by a multiplier - perfect for hi-res fix workflows.
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**Example:** 512x512 regions × scalar=2 → 1024x1024 regions
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|
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---
|
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#### Conditioning Stretch
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Resize conditioning to fit new dimensions - more flexible than upscale.
|
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**Example:** Transform regions from 512x512 to 1024x768 (proportional scaling)
|
||||
|
||||
---
|
||||
|
||||
#### Multi Latent Composite (Visual)
|
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Visual interface for compositing multiple latents with positioning and feathering.
|
||||
|
||||
**Features:**
|
||||
- ✅ Automatic bounds checking and clipping
|
||||
- ✅ Channel compatibility validation
|
||||
- ✅ Smart feathering with gradient masks
|
||||
- ✅ Detailed warnings and info messages
|
||||
|
||||
---
|
||||
|
||||
## 🔧 Advanced Techniques
|
||||
|
||||
### Fullscreen/Background Conditioning
|
||||
Set a region to cover the entire canvas (`x=0, y=0, width=canvas_width, height=canvas_height`) to make it fullscreen. This is perfect for background prompts that should influence the whole image.
|
||||
|
||||
### Grid Alignment
|
||||
The 64px grid overlay helps you align regions to latent space boundaries (VAE works in 8x downscaled space, 64px = 8 latent pixels).
|
||||
|
||||
### Strength Control
|
||||
Every region has a strength slider (0.0-10.0):
|
||||
- **1.0** - Normal strength (default)
|
||||
- **0.5** - Subtle influence (region blends more with background)
|
||||
- **2.0+** - Strong influence (region dominates)
|
||||
- **0.0** - Effectively disabled
|
||||
|
||||
### Overlapping Regions
|
||||
Regions are processed in order. If boxes overlap:
|
||||
- Background applies first (fullscreen)
|
||||
- Region 1 applies on top
|
||||
- Region 2 applies on top of Region 1
|
||||
- And so on...
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||||
|
||||
The last region "wins" in overlapping areas (for mask-based conditioning).
|
||||
|
||||
### Dynamic Sizing
|
||||
**Important:** The canvas size can be different from your output size!
|
||||
|
||||
For example:
|
||||
- Draw on a 512x512 canvas
|
||||
- Generate at 1024x1024 output
|
||||
- Regions automatically scale 2x
|
||||
|
||||
This makes it easy to design compositions at lower resolution, then generate at higher resolution.
|
||||
|
||||
---
|
||||
|
||||
## ❓ Troubleshooting
|
||||
|
||||
### "Workflow metadata missing" error
|
||||
**Cause:** ComfyUI hasn't saved your workflow yet
|
||||
**Fix:** Save the workflow (Ctrl+S or Cmd+S), then reload the page
|
||||
|
||||
### Canvas doesn't show boxes I drew
|
||||
**Cause:** Workflow not saved, or coordinates are outside canvas
|
||||
**Fix:**
|
||||
1. Save and reload workflow
|
||||
2. Check that x+width ≤ canvas width and y+height ≤ canvas height
|
||||
3. Select the region using the `index` dropdown to see where it is
|
||||
|
||||
### Flux regions look harsh or over-defined
|
||||
**Cause:** Flux Optimize is disabled, or using advanced node with mask_strength=1.0
|
||||
**Fix:**
|
||||
- Use the Easy node with Flux Optimize ON
|
||||
- Or set mask_strength to 0.7-0.85 in the advanced node
|
||||
|
||||
### Too many regions = bad quality (Flux)
|
||||
**Cause:** Flux struggles with more than 4 regions
|
||||
**Fix:** Combine related elements into single regions, or use fewer boxes
|
||||
|
||||
### Region has no effect
|
||||
**Cause:** Prompt is empty, strength is 0.0, or box is too small
|
||||
**Fix:**
|
||||
1. Make sure the region prompt has text
|
||||
2. Check strength slider is at least 0.5
|
||||
3. Make boxes at least 64x64 pixels
|
||||
|
||||
---
|
||||
|
||||
## 📝 Changelog
|
||||
|
||||
### Version 3.1 (November 22, 2025)
|
||||
- ✨ **NEW:** Enhanced "Easy" nodes with inline prompts!
|
||||
- 🎨 Regional Prompter (SD/SDXL - Easy!)
|
||||
- 🎨 Regional Prompter (Flux/Chroma - Easy!)
|
||||
- ✨ **NEW:** No more external CLIP Text Encode nodes needed
|
||||
- ✨ **NEW:** Flux-optimized mask strength (0.8) and feathering
|
||||
- ✨ **NEW:** Up to 4 regions + background in one node
|
||||
- 📚 **DOCS:** Completely rewritten README for user-friendliness
|
||||
- 📚 **DOCS:** Added CONTEXT.md for development learnings
|
||||
|
||||
### Version 3.0 (November 22, 2025)
|
||||
- ✨ **NEW:** MultiAreaConditioningMask for Flux/Chroma/SD3 support
|
||||
- ✨ **NEW:** Comprehensive error handling and validation
|
||||
- ✨ **NEW:** Bounds checking for MultiLatentComposite
|
||||
- ✨ **NEW:** Tooltips and descriptions on all inputs
|
||||
- 🔧 **FIX:** Modernized JavaScript loading (no more file copying!)
|
||||
- 🔧 **FIX:** Removed debug console.log statements
|
||||
- 🔧 **FIX:** Fixed graph reference bug in background drawing
|
||||
- 📚 **DOCS:** Complete compatibility matrix and examples
|
||||
- 🚀 **PERF:** Improved tensor operations and validation
|
||||
|
||||
### Version 2.4 (Original)
|
||||
- Visual area conditioning interface
|
||||
- MultiLatentComposite with feathering
|
||||
- ConditioningUpscale and ConditioningStretch utilities
|
||||
|
||||
---
|
||||
|
||||
## 🤝 Contributing
|
||||
|
||||
Found a bug? Have a feature request?
|
||||
[Open an issue](https://github.com/EnragedAntelope/ComfyUI_RegionalConditioning/issues) on GitHub!
|
||||
|
||||
**Tested with:**
|
||||
- ComfyUI 0.3.71+
|
||||
- Stable Diffusion 1.5, SD 2.x, SDXL
|
||||
- Flux.1-dev, Flux.1-schnell
|
||||
- Chroma1-Radiance
|
||||
|
||||
---
|
||||
|
||||
## 📄 License
|
||||
|
||||
**GLWT (Good Luck With That) Public License**
|
||||
|
||||
See [LICENSE](LICENSE) file for the full text.
|
||||
|
||||
TL;DR: Use it however you want, but don't blame us if it breaks! 😄
|
||||
|
||||
---
|
||||
- **Multi Area Conditioning**: Area-based, requires external CLIP encode
|
||||
- **Multi Area Conditioning Mask**: Mask-based, requires external CLIP encode
|
||||
- **Multi Latent Composite**: Visual latent compositing with feathering
|
||||
|
||||
## Credits
|
||||
|
||||
Based on the visual area conditioning concept by [Davemane42](https://github.com/Davemane42).
|
||||
Based on visual area conditioning by [Davemane42](https://github.com/Davemane42).
|
||||
|
||||
Maintained by EnragedAntelope - [github.com/EnragedAntelope/ComfyUI_RegionalConditioning](https://github.com/EnragedAntelope/ComfyUI_RegionalConditioning)
|
||||
|
||||
---
|
||||
## License
|
||||
|
||||
## 📸 Complete Workflow Examples
|
||||
|
||||
### Easy Mode Workflow (RECOMMENDED)
|
||||
The simplest possible setup - only 3 nodes needed!
|
||||
|
||||
```
|
||||
Load Checkpoint
|
||||
├─→ CLIP ─→ Regional Prompter (Flux/Chroma - Easy!)
|
||||
│ ├─ Set width: 1024
|
||||
│ ├─ Set height: 1024
|
||||
│ ├─ background_prompt: "your scene description"
|
||||
│ ├─ region1_prompt: "what goes in box 1"
|
||||
│ ├─ region2_prompt: "what goes in box 2"
|
||||
│ └─ soften_masks: ✅ ON (recommended!)
|
||||
│
|
||||
├─→ MODEL ──┐
|
||||
└─→ VAE ───┐│
|
||||
││
|
||||
Regional Prompter → conditioning
|
||||
││
|
||||
↓↓
|
||||
KSampler
|
||||
(positive: conditioning from Regional Prompter)
|
||||
(negative: empty or your negative prompt)
|
||||
(model: from Load Checkpoint)
|
||||
(latent: Empty Latent Image at matching size)
|
||||
↓
|
||||
VAE Decode
|
||||
↓
|
||||
Save Image
|
||||
```
|
||||
|
||||
**Key Points:**
|
||||
- ✅ Width/height in the Regional Prompter should match your Empty Latent Image size
|
||||
- 💡 **PRO TIP:** Connect width/height outputs from Empty Latent Image → Regional Prompter for auto-sync!
|
||||
- ✅ No latent input needed on the Regional Prompter - it just needs the numbers!
|
||||
- ✅ The node outputs CONDITIONING, not an image - connect to KSampler's positive input
|
||||
- ✅ Keep "Soften Masks" ON for better results (especially Flux and Flux-based models)
|
||||
|
||||
### Advanced Mode Workflow (For Power Users)
|
||||
When you need shared CLIP encodings or more control:
|
||||
|
||||
```
|
||||
Load Checkpoint → CLIP → CLIPTextEncode (background)
|
||||
↓
|
||||
CLIPTextEncode (region 1)
|
||||
↓
|
||||
CLIPTextEncode (region 2)
|
||||
↓
|
||||
Multi Area Conditioning (collects all)
|
||||
↓
|
||||
conditioning output
|
||||
↓
|
||||
KSampler → VAE Decode → Save Image
|
||||
```
|
||||
|
||||
**When to use Advanced Mode:**
|
||||
- You want to share CLIP encodings across multiple nodes
|
||||
- You need manual control over mask strength per region
|
||||
- You're doing complex prompt engineering with multiple text encode nodes
|
||||
|
||||
---
|
||||
|
||||
**Enjoy precise regional control in your ComfyUI workflows! 🎨**
|
||||
|
||||
**Questions? Check the troubleshooting section above, or open an issue on GitHub.**
|
||||
MIT License - use freely in personal and commercial projects.
|
||||
|
||||
+10
-10
@@ -243,17 +243,17 @@ app.registerExtension({
|
||||
node.widgets[offset + 1].value = values[v][1]
|
||||
node.widgets[offset + 2].value = values[v][2]
|
||||
node.widgets[offset + 3].value = values[v][3]
|
||||
if (!values[v][4]) {values[v][4] = 1.0}
|
||||
if (!values[v][4]) {values[v][4] = 0.8}
|
||||
node.widgets[offset + 4].value = values[v][4]
|
||||
}
|
||||
},
|
||||
{ step: 10, max: 1 }
|
||||
)
|
||||
|
||||
CUSTOM_INT(this, "x", 0, function (v, _, node) {transformFunc(this, v, node, 0)})
|
||||
CUSTOM_INT(this, "y", 0, function (v, _, node) {transformFunc(this, v, node, 1)})
|
||||
CUSTOM_INT(this, "width", 0, function (v, _, node) {transformFunc(this, v, node, 2)})
|
||||
CUSTOM_INT(this, "height", 0, function (v, _, node) {transformFunc(this, v, node, 3)})
|
||||
CUSTOM_INT(this, "box_x", 0, function (v, _, node) {transformFunc(this, v, node, 0)})
|
||||
CUSTOM_INT(this, "box_y", 0, function (v, _, node) {transformFunc(this, v, node, 1)})
|
||||
CUSTOM_INT(this, "box_w", 0, function (v, _, node) {transformFunc(this, v, node, 2)})
|
||||
CUSTOM_INT(this, "box_h", 0, function (v, _, node) {transformFunc(this, v, node, 3)})
|
||||
CUSTOM_INT(this, "strength", 0.8, function (v, _, node) {transformFunc(this, v, node, 4)}, {"min": 0.0, "max": 10.0, "step": 0.1, "precision": 2})
|
||||
|
||||
this.onRemoved = function () {
|
||||
@@ -326,17 +326,17 @@ app.registerExtension({
|
||||
node.widgets[offset + 1].value = values[v][1]
|
||||
node.widgets[offset + 2].value = values[v][2]
|
||||
node.widgets[offset + 3].value = values[v][3]
|
||||
if (!values[v][4]) {values[v][4] = 1.0}
|
||||
if (!values[v][4]) {values[v][4] = 0.8}
|
||||
node.widgets[offset + 4].value = values[v][4]
|
||||
}
|
||||
},
|
||||
{ step: 10, max: 1 }
|
||||
)
|
||||
|
||||
CUSTOM_INT(this, "x", 0, function (v, _, node) {transformFunc(this, v, node, 0)})
|
||||
CUSTOM_INT(this, "y", 0, function (v, _, node) {transformFunc(this, v, node, 1)})
|
||||
CUSTOM_INT(this, "width", 0, function (v, _, node) {transformFunc(this, v, node, 2)})
|
||||
CUSTOM_INT(this, "height", 0, function (v, _, node) {transformFunc(this, v, node, 3)})
|
||||
CUSTOM_INT(this, "box_x", 0, function (v, _, node) {transformFunc(this, v, node, 0)})
|
||||
CUSTOM_INT(this, "box_y", 0, function (v, _, node) {transformFunc(this, v, node, 1)})
|
||||
CUSTOM_INT(this, "box_w", 0, function (v, _, node) {transformFunc(this, v, node, 2)})
|
||||
CUSTOM_INT(this, "box_h", 0, function (v, _, node) {transformFunc(this, v, node, 3)})
|
||||
CUSTOM_INT(this, "strength", 0.8, function (v, _, node) {transformFunc(this, v, node, 4)}, {"min": 0.0, "max": 10.0, "step": 0.1, "precision": 2})
|
||||
|
||||
this.onRemoved = function () {
|
||||
|
||||
+1
-1
@@ -134,7 +134,7 @@ export function getDrawColor(percent, alpha) {
|
||||
export function computeCanvasSize(node, size) {
|
||||
if (node.widgets[0].last_y == null) return;
|
||||
|
||||
const MIN_SIZE = 200;
|
||||
const MIN_SIZE = 450; // Increased from 200 to prevent widget overlap with canvas
|
||||
|
||||
let y = LiteGraph.NODE_WIDGET_HEIGHT * Math.max(node.inputs.length, node.outputs.length) + 5;
|
||||
let freeSpace = size[1] - y;
|
||||
|
||||
Reference in New Issue
Block a user