chore: drop local prep notes from repo
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Eric Hiss
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# Git Commit Preparation - v1.8.0
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## Ready to Push to GitHub
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All files have been organized and documentation updated. Here's what to do:
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---
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## 📋 Pre-Push Checklist
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- [x] README.md completely rewritten
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- [x] CHANGELOG.md updated with v1.8.0
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- [x] Release notes created (RELEASE_NOTES_v1.8.0.md)
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- [x] Old documentation moved to docs/archive/
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- [x] New documentation files added
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- [x] All code changes tested (no syntax errors)
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- [x] .gitignore properly configured
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---
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## 🔄 Git Commands to Execute
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### 1. Add All Changes
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```bash
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git add -A
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```
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This will add:
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- Modified files (prompt_expander_node_advanced.py, expansion_engine.py, etc.)
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- New files (qwen3_vl_backend.py, docs/ADVANCED_NODE_REDESIGN.md, etc.)
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- Deleted files (old docs moved to archive)
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### 2. Review Status
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```bash
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git status
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```
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Verify all expected changes are staged.
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### 3. Commit
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```bash
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git commit -m "v1.8.0: Advanced Node Redesign + Syntax Preservation
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Major Release - Complete Advanced Node Redesign
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✨ New Features:
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- Advanced node: 4 operation modes (expand/refine/modify_style/add_details)
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- Advanced node: Clear detail levels (concise/moderate/detailed/exhaustive)
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- Advanced node: Optional image input with Qwen3-VL integration
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- Video nodes: Emphasis syntax preservation (keyword:1.5)
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- Video nodes: Alternation syntax support {option1|option2}
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🔧 Changes:
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- Replaced confusing tier system with intuitive detail levels
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- Added operation modes for modifying existing prompts
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- Removed manual mode selection (auto-detected from image presence)
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- Added Qwen3-VL backend for image analysis
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- Backward compatible tier name mapping in expansion_engine
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📚 Documentation:
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- README.md completely rewritten
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- docs/ADVANCED_NODE_REDESIGN.md - Complete redesign guide
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- docs/BUGFIX_ADVANCED_NODE.md - Syntax preservation details
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- docs/BUGFIX_SUMMARY.md - Quick reference
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- Organized old docs into docs/archive/
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🐛 Fixes:
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- Emphasis syntax now properly preserved through LLM processing
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- Alternation syntax for random element selection
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- Image-to-video mode now functional with Qwen3-VL
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⚡ Breaking Changes:
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- None (fully backward compatible)
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See RELEASE_NOTES_v1.8.0.md for complete details."
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```
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### 4. Push to GitHub
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```bash
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git push origin main
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```
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### 5. Create GitHub Release (Optional but Recommended)
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Go to GitHub repository → Releases → Create new release
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**Tag:** `v1.8.0`
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**Title:** `v1.8.0 - Advanced Node Redesign + Syntax Preservation`
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**Description:** Copy from RELEASE_NOTES_v1.8.0.md
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---
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## 📊 Changed Files Summary
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### Core Files Modified (11)
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- prompt_expander_node_advanced.py
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- prompt_expander_node.py
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- expansion_engine.py
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- text_to_image_node.py
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- image_to_image_node.py
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- image_to_video_node.py
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- img2img_expansion_engine.py
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- llm_backend.py
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- platforms.py
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- utils.py
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- requirements.txt
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### New Files Added (7)
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- qwen3_vl_backend.py
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- VISION_BACKEND_GUIDE.md
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- caption-instructions.md
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- docs/ADVANCED_NODE_REDESIGN.md
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- docs/BUGFIX_ADVANCED_NODE.md
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- docs/BUGFIX_SUMMARY.md
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- docs/archive/ (folder)
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- RELEASE_NOTES_v1.8.0.md
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### Documentation Updated (4)
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- README.md (completely rewritten)
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- CHANGELOG.md
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- docs/CONFIGURATION.md
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- docs/IMG2IMG_GUIDE.md
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- docs/QUICKSTART.md
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### Documentation Archived (11)
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Files moved to docs/archive/:
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- README_OLD.md
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- UPDATE_NOTES.md
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- UPDATE_NOTES_V12.md
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- UPDATE_V13.md
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- UPDATE_V15.md
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- UPDATE_V16_ERIC.md
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- UPDATE_V17_ENHANCED_CONTROLS.md
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- FILE_CHANGES.md
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- SETUP_COMPLETE.md
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- BUGFIX_AUTO_MODE.md
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- GITHUB_PUBLICATION_COMPLETE.md
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---
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## 🎯 What This Release Accomplishes
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### User-Facing Improvements
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1. **No more confusion** - Clear operation modes and detail levels
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2. **More functionality** - Can now modify existing prompts, not just expand
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3. **Image support** - Image-to-video actually works with Qwen3-VL
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4. **Syntax preservation** - Emphasis and alternation syntax work properly
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5. **Better documentation** - Complete rewrite of README for clarity
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### Technical Improvements
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1. **Backward compatible** - Old tier names still work
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2. **Clean codebase** - Old docs archived, new structure organized
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3. **Proper vision integration** - Qwen3-VL backend properly implemented
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4. **Modular operation modes** - Easy to extend with new modes
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5. **Comprehensive testing** - No syntax errors, validated changes
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### Repository Quality
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1. **Professional README** - Clear, comprehensive, well-organized
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2. **Complete changelog** - All changes documented
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3. **Archived history** - Old docs preserved but organized
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4. **Release notes** - Proper v1.8.0 release documentation
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5. **Clean git history** - All changes in one coherent commit
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---
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## ⚠️ Important Notes
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1. **Restart Required**: Users MUST restart ComfyUI after updating
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2. **Backward Compatible**: No breaking changes, old workflows still work
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3. **Optional Dependencies**: Vision support requires additional packages
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4. **Documentation**: Point users to README.md and QUICKSTART.md
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---
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## 🚀 After Push
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1. Monitor GitHub issues for any problems
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2. Update any external documentation/links if needed
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3. Announce release in relevant communities
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4. Respond to user feedback and questions
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---
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**Ready to execute the git commands above!**
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The repository is clean, organized, and ready for v1.8.0 release.
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@@ -1,27 +0,0 @@
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You are a master prompt engineer specializing in creating highly detailed and evocative prompts for image generation AI (like Midjourney, Stable Diffusion, DALL-E 3, etc.). Your goal is to take a basic subject description and expand it into a rich, natural language prompt that will yield visually compelling results. Focus on detail, specificity, and artistic direction.
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**Here's how you work:**
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1. **Analyze the Input:** Break down the input subject description into its core components (subject, action/pose, environment, mood).
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2. **Expand with Detail:** For *each* component, add descriptive details. Consider these categories:
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* **Subject:** Age, gender, species (if applicable), clothing, key features, expression, material (e.g., "worn leather," "polished chrome").
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* **Action/Pose:** Be specific! Don't just say "holding a sword." Say *how* they are holding it ("gripping the hilt with white knuckles," "resting casually across their shoulder," "raising above their head in triumph"). Pay special attention to any interaction – what is being touched, how firmly, and with what part of the body.
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* **Environment:** Location (indoor/outdoor, specific place), time of day, lighting conditions (e.g., "soft golden hour light," "harsh neon glow"), weather. Consider background elements – what's *behind* the subject?
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* **Mood/Atmosphere:** Use adjectives to convey the desired feeling ("serene," "dramatic," "mysterious," "joyful"). Consider color palettes that reinforce the mood.
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3. **Artistic Direction:** Add details about style, artist influence, camera angle, and rendering quality:
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* **Style:** (e.g., photorealistic, impressionistic, cyberpunk, fantasy art)
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* **Artist Influence:** (e.g., "in the style of Alphonse Mucha," "inspired by Greg Rutkowski")
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* **Camera Angle/Shot Type:** (e.g., close-up, wide shot, bird's eye view, low angle, cinematic framing)
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* **Rendering Quality:** (e.g., highly detailed, 8k resolution, volumetric lighting, ray tracing). Consider adding details like "depth of field" or "motion blur".
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4. **Combine & Refine:** Weave all the elements together into a coherent and grammatically correct prompt. Aim for natural language – avoid overly technical jargon unless it's crucial to the style.
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**Important Considerations:**
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* **Detail *Anything* Important:** Any element of the subject, action, or environment that is significant (either explicitly stated or implicitly suggested) should be described in detail. Don’t gloss over anything!
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* **No Censorship:** If the input suggests an erotic or sexual scene, embrace it! Describe genitals, positions, and contact with specificity – don't shy away from details. The level of detail should match the overall prompt complexity.
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* **Use Strong Adjectives & Verbs:** Avoid vague language ("a man standing"). Use evocative words ("a grizzled warrior striding confidently").
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* **Prioritize Visual Impact:** Think about what will make the image visually interesting and compelling.
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**Input Format:** You'll receive a simple subject description.
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Output Format: A single detailed, natural language paragraph ready for an image generation AI. Aim for around 50-150 words (adjust as needed).
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