11 KiB
Image Studio Progress Review & Next Steps
Last Updated: Current Session
Status: Phase 1 Foundation - 3/7 Modules Complete
📊 Current Progress
✅ Completed Modules (Live)
1. Create Studio ✅
- Status: Fully implemented and live
- Features:
- Multi-provider support (Stability, WaveSpeed Ideogram V3, Qwen, HuggingFace, Gemini)
- Platform templates (Instagram, LinkedIn, Facebook, Twitter, etc.)
- Template-based generation with auto-optimized settings
- Advanced provider-specific controls (guidance, steps, seed)
- Cost estimation and pre-flight validation
- Batch generation (1-10 variations)
- Prompt enhancement
- Persona support
- Backend:
CreateStudioService,ImageStudioManager - Frontend:
CreateStudio.tsx,TemplateSelector.tsx,ImageResultsGallery.tsx - Route:
/image-generator
2. Edit Studio ✅
- Status: Fully implemented and live (masking feature just added)
- Features:
- Remove background
- Inpaint & Fix (with mask support)
- Outpaint (canvas expansion)
- Search & Replace (with optional mask)
- Search & Recolor (with optional mask)
- Replace Background & Relight
- General Edit / Prompt-based Edit (with optional mask)
- Reusable mask editor component
- Backend:
EditStudioService, Stability AI integration, HuggingFace integration - Frontend:
EditStudio.tsx,ImageMaskEditor.tsx,EditImageUploader.tsx - Route:
/image-editor - Recent Enhancement: Optional masking for
general_edit,search_replace,search_recolor
3. Upscale Studio ✅
- Status: Fully implemented and live
- Features:
- Fast 4x upscale (1 second)
- Conservative 4K upscale
- Creative 4K upscale
- Quality presets (web, print, social)
- Side-by-side comparison with zoom
- Optional prompt for conservative/creative modes
- Backend:
UpscaleStudioService, Stability AI upscaling endpoints - Frontend:
UpscaleStudio.tsx - Route:
/image-upscale
🚧 Planned Modules (Not Started)
4. Transform Studio - Coming Soon
- Status: Planned, not implemented
- Features:
- Image-to-Video (WaveSpeed WAN 2.5)
- Make Avatar (Hunyuan Avatar / Talking heads)
- Image-to-3D (Stable Fast 3D)
- Estimated Complexity: High (new provider integrations, async workflows)
- Dependencies: WaveSpeed API for video/avatar, Stability for 3D
5. Social Optimizer - Planning
- Status: Planning phase
- Features:
- Smart resize for platforms (Instagram, TikTok, LinkedIn, YouTube, Pinterest)
- Text safe zones overlay
- Batch export to multiple platforms
- Platform-specific presets
- Focal point detection
- Estimated Complexity: Medium (image processing, platform specs)
- Dependencies: Image processing library, platform specification data
6. Control Studio - Planning
- Status: Planning phase
- Features:
- Sketch-to-image control
- Structure control
- Style transfer
- Control strength sliders
- Style libraries
- Estimated Complexity: Medium (Stability AI control endpoints exist)
- Dependencies: Stability AI control methods (already in
stability_service.py)
7. Batch Processor - Planning
- Status: Planning phase
- Features:
- Queue multiple operations
- CSV import for bulk prompts
- Cost previews for batches
- Scheduling
- Progress monitoring
- Email notifications
- Estimated Complexity: High (queue system, async processing, notifications)
- Dependencies: Task queue system, scheduler service
8. Asset Library - Planning
- Status: Planning phase
- Features:
- AI tagging and search
- Version history
- Collections and favorites
- Shareable boards
- Campaign organization
- Usage analytics
- Estimated Complexity: Very High (database schema, search, storage)
- Dependencies: Database models, storage system, search indexing
🏗️ Infrastructure Status
✅ Completed Infrastructure
- ✅ Image Studio Manager (
ImageStudioManager) - ✅ Shared UI components (
ImageStudioLayout,GlassyCard,SectionHeader, etc.) - ✅ Cost estimation system
- ✅ Pre-flight validation for all operations
- ✅ Authentication enforcement (
_require_user_id) - ✅ Reusable mask editor component
- ✅ Operation button with cost display
- ✅ Template system
- ✅ Provider abstraction layer
⚠️ Missing Infrastructure
- ❌ Task queue system (needed for Batch Processor)
- ❌ Asset storage and database models (needed for Asset Library)
- ❌ Scheduler service (needed for Batch Processor)
- ❌ Notification system (needed for Batch Processor)
- ❌ Search indexing (needed for Asset Library)
🎯 Recommended Next Steps
Option 1: Transform Studio (High Impact, Medium Complexity) ⭐ RECOMMENDED
Why:
- High user value (image-to-video is a unique differentiator)
- Uses existing provider integrations (WaveSpeed, Stability)
- Completes the "create → edit → transform" workflow
- Market demand for video content
Implementation Plan:
-
Backend:
- Create
TransformStudioServiceinbackend/services/image_studio/transform_service.py - Integrate WaveSpeed WAN 2.5 for image-to-video
- Integrate Hunyuan Avatar API for talking avatars
- Add Stability Fast 3D endpoint
- Add pre-flight validation for transform operations
- Add cost estimation for video/avatar/3D
- Create
-
Frontend:
- Create
TransformStudio.tsxcomponent - Build video preview player
- Add motion preset selector
- Add duration/resolution controls
- Add avatar script input
- Add 3D export controls
- Create
-
Routes:
- Add
/image-transformroute - Update dashboard module status to "live"
- Add
Estimated Time: 2-3 weeks
Option 2: Social Optimizer (High Utility, Medium Complexity)
Why:
- Solves real pain point (manual resizing)
- Relatively straightforward (image processing)
- High usage potential
- Complements existing modules
Implementation Plan:
-
Backend:
- Create
SocialOptimizerService - Define platform specifications (dimensions, safe zones)
- Implement smart cropping with focal point detection
- Add batch export functionality
- Add cost estimation
- Create
-
Frontend:
- Create
SocialOptimizer.tsxcomponent - Build platform selector (multi-select)
- Add safe zones overlay visualization
- Add preview grid for all platforms
- Add batch export UI
- Create
-
Data:
- Create platform specs configuration
- Define safe zone percentages per platform
Estimated Time: 1-2 weeks
Option 3: Control Studio (Medium Impact, Low-Medium Complexity)
Why:
- Stability AI endpoints already exist in
stability_service.py - Fills gap for advanced users
- Lower complexity than Transform
- Can reuse existing Create Studio UI patterns
Implementation Plan:
-
Backend:
- Create
ControlStudioService - Wire up existing Stability control methods:
control_sketch()control_structure()control_style()control_style_transfer()
- Add pre-flight validation
- Add cost estimation
- Create
-
Frontend:
- Create
ControlStudio.tsxcomponent - Add sketch uploader
- Add structure/style image uploaders
- Add control strength sliders
- Add style library selector
- Create
Estimated Time: 1 week
Option 4: Batch Processor (High Value, High Complexity)
Why:
- Enables enterprise workflows
- High value for power users
- Requires infrastructure (queue system)
Implementation Plan:
-
Infrastructure (Prerequisites):
- Set up task queue (Celery or similar)
- Create job models in database
- Create scheduler service
- Create notification system
-
Backend:
- Create
BatchProcessorService - Add CSV import parser
- Add job queue management
- Add progress tracking
- Add cost aggregation
- Create
-
Frontend:
- Create
BatchProcessor.tsxcomponent - Add CSV upload
- Add job queue visualization
- Add progress monitoring
- Add scheduling UI
- Create
Estimated Time: 3-4 weeks (includes infrastructure)
Option 5: Asset Library (High Value, Very High Complexity)
Why:
- Centralizes all generated assets
- Enables collaboration
- Requires significant database/storage work
Implementation Plan:
-
Infrastructure (Prerequisites):
- Design database schema (assets, collections, tags, versions)
- Set up storage system (S3 or local)
- Implement search indexing
- Create AI tagging service
-
Backend:
- Create
AssetLibraryService - Add asset CRUD operations
- Add collection management
- Add search/filtering
- Add sharing/access control
- Create
-
Frontend:
- Create
AssetLibrary.tsxcomponent - Build grid/list view
- Add filters and search
- Add collection management
- Add sharing UI
- Create
Estimated Time: 4-6 weeks (includes infrastructure)
📋 Decision Matrix
| Module | Impact | Complexity | Time | Dependencies | Priority |
|---|---|---|---|---|---|
| Transform Studio | ⭐⭐⭐⭐⭐ | Medium | 2-3 weeks | WaveSpeed API | HIGH |
| Social Optimizer | ⭐⭐⭐⭐ | Medium | 1-2 weeks | Image processing | HIGH |
| Control Studio | ⭐⭐⭐ | Low-Medium | 1 week | None (endpoints exist) | MEDIUM |
| Batch Processor | ⭐⭐⭐⭐ | High | 3-4 weeks | Queue system | MEDIUM |
| Asset Library | ⭐⭐⭐⭐⭐ | Very High | 4-6 weeks | DB, storage, search | LOW |
🎯 Recommended Path Forward
Phase 2A: Quick Wins (2-3 weeks)
- Control Studio (1 week) - Low complexity, uses existing endpoints
- Social Optimizer (1-2 weeks) - High utility, straightforward implementation
Phase 2B: High Impact (2-3 weeks)
- Transform Studio (2-3 weeks) - Unique differentiator, high user value
Phase 3: Infrastructure & Scale (4-6 weeks)
- Batch Processor (3-4 weeks) - Requires queue system
- Asset Library (4-6 weeks) - Requires database/storage/search
🔧 Technical Debt & Improvements
Current Issues:
- None identified - codebase is well-structured
Potential Enhancements:
- Error Handling: Add retry logic for async operations
- Caching: Cache template/provider data
- Analytics: Track usage per module
- Testing: Add integration tests for each module
- Documentation: API documentation for Image Studio endpoints
📝 Notes
- All live modules have pre-flight validation ✅
- All live modules have cost estimation ✅
- All live modules enforce authentication ✅
- Masking feature is reusable across all operations ✅
- UI consistency maintained across modules ✅
🚀 Immediate Next Action
Recommended: Start with Control Studio (1 week) or Social Optimizer (1-2 weeks) for quick wins, then move to Transform Studio for high impact.
Alternative: If video/avatar is priority, start with Transform Studio directly.