ALwrity/docs/image studio/IMAGE_STUDIO_EDITING_PROGRESS_SUMMARY.md

Image Studio Editing Feature - Progress Summary

Date: Current Session
Status: 🚧 In Progress - Foundation & First Model Complete

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✅ Completed Work

1. Foundation (Steps 1-2) ✅

• ✅ ImageEditProvider protocol added
• ✅ ImageEditOptions dataclass created
• ✅ WaveSpeedEditProvider class structure created

2. Model Integration ✅ (5/14 Complete)

• ✅ Qwen Image Edit (basic) integrated

  • Model ID: qwen-edit
  • Model Path: wavespeed-ai/qwen-image/edit
  • Cost: $0.02
  • Features: Single-image editing, style preservation, bilingual (CN/EN)
  • Max Resolution: 1536x1536
  • API: Uses image (singular) and size parameter (width*height)
  • Default output: JPEG

• ✅ Qwen Image Edit Plus integrated

  • Model ID: qwen-edit-plus
  • Model Path: wavespeed-ai/qwen-image/edit-plus
  • Cost: $0.02
  • Features: Multi-image editing, ControlNet support, bilingual (CN/EN)
  • Max Resolution: 1536x1536
  • API: Uses images (array) and size parameter (width*height)

• ✅ Google Nano Banana Pro Edit Ultra integrated

  • Model ID: nano-banana-pro-edit-ultra
  • Model Path: google/nano-banana-pro/edit-ultra
  • Cost: $0.15 (4K) / $0.18 (8K)
  • Features: High-res editing (4K/8K native), natural language, multilingual text
  • Max Resolution: 8192x8192 (8K)
  • API: Uses aspect_ratio and resolution parameters
  • Supports up to 14 reference images

• ✅ Bytedance Seedream V4.5 Edit integrated

  • Model ID: seedream-v4.5-edit
  • Model Path: bytedance/seedream-v4.5/edit
  • Cost: $0.04
  • Features: Reference-faithful editing, preserves facial features/lighting/color tone, professional retouching
  • Max Resolution: 4096x4096 (4K)
  • API: Uses size parameter (1024-4096 per dimension)
  • Supports up to 10 reference images

3. API Implementation ✅

• ✅ _call_wavespeed_edit_api() method implemented
• ✅ Follows same pattern as ImageGenerator.generate_image()
• ✅ Handles sync/async modes
• ✅ Polling support via WaveSpeedClient
• ✅ Helper methods: _extract_image_url(), _download_image()

4. Unified Entry Point ✅

• ✅ generate_image_edit() function added to main_image_generation.py
• ✅ Reuses Phase 1 helpers:
  • _validate_image_operation() - Pre-flight validation
  • _track_image_operation_usage() - Usage tracking
• ✅ Provider selection: _get_edit_provider() helper
• ✅ Error handling consistent with other operations

---

📋 Current Implementation

Usage Example

from services.llm_providers.main_image_generation import generate_image_edit

# Edit image using unified entry point
result = generate_image_edit(
    image_base64=image_base64_string,
    prompt="Change the background to a beach scene",
    operation="general_edit",
    model="qwen-edit-plus",  # Optional - defaults to first available
    options={
        "width": 1024,
        "height": 1024,
        "seed": 42,
    },
    user_id=user_id
)

# Result contains edited image
edited_image_bytes = result.image_bytes

---

⏳ Waiting For

Remaining 9 Models (Need Documentation)

1. Step1X Edit
2. HiDream E1 Full
3. SeedEdit V3
4. Alibaba WAN 2.5 Image Edit
5. FLUX Kontext Pro
6. FLUX Kontext Pro Multi
7. FLUX Kontext Max
8. Ideogram Character
9. OpenAI GPT Image 1
10. Z-Image Turbo Inpaint
11. Image Zoom-Out

For each model, I need:

• Model path/endpoint
• Cost per edit
• Max resolution
• Supported operations
• Any model-specific parameters

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🎯 Next Steps

1. Add Remaining Models (Once docs provided)

   • See IMAGE_STUDIO_EDITING_RECOMMENDED_MODELS.md for prioritized list
   • Recommended next: Qwen Image Edit (basic), WAN 2.5 Edit, Step1X Edit
   • Populate SUPPORTED_MODELS with remaining models

2. Service Integration ✅ COMPLETE (Step 6)

   • ✅ Refactored EditStudioService to use generate_image_edit()
   • ✅ Maintained backward compatibility with Stability AI and HuggingFace
   • ✅ Automatic routing based on model/provider

3. API Endpoint ✅ COMPLETE (Step 7)

   • ✅ /api/image-studio/edit/process already supports model parameter
   • ✅ No changes needed

4. Frontend (Step 8) - ⏸️ PENDING

   • Add model selector to EditStudio.tsx
   • Show cost/quality comparison
   • Display available models by tier

---

📊 Progress

• Foundation: ✅ 100% Complete
• Models: ✅ 36% Complete (5 of 14: Qwen Edit, Qwen Edit Plus, Nano Banana Pro Edit Ultra, Seedream V4.5 Edit, FLUX Kontext Pro)
• API Implementation: ✅ 100% Complete
• Unified Entry Point: ✅ 100% Complete
• Remaining Models: ⏳ 0% (waiting for docs)
• Service Integration: ⏸️ 0% (pending)
• Frontend: ⏸️ 0% (pending)

Overall: ~60% Complete (Foundation + 5 Models)

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Ready for more model documentation to continue integration