Add Replicate provider, model selection, and Patch Library features

Major additions:
1. Replicate AI Provider
   - Support for multiple models (SDXL, LaMa, Realistic Vision)
   - Auto-model selection based on prompt keywords
   - Best for human features: realistic-vision (~$0.020/image)
   - Best for removal: lama (~$0.002/image)
   - Best general purpose: sdxl-inpaint (~$0.025/image)
   - Smart keyword detection for automatic model selection

2. Enhanced Stability AI Provider
   - Optimized parameters for better quality
   - Support for multiple engines (SDXL, SD 1.5, SD 2.1)
   - Increased steps and CFG scale for improved results

3. Model Selection System
   - Per-edit model override capability
   - Global default model configuration
   - Provider-specific model options
   - Auto-selection based on prompt analysis

4. Patch Library Feature
   - Save AI-generated patches for reuse
   - Save manually selected regions
   - Import external images as patches
   - Organize with categories and tags
   - Browse and filter patch library
   - Apply saved patches to new images
   - Thumbnail generation for quick preview
   - Cost savings by reusing good results

5. Comprehensive Documentation
   - MODEL_SELECTION_GUIDE.md: Detailed guide for choosing models
     * Best models for hands, faces, bodies
     * Quality comparison table
     * Cost optimization strategies
     * Troubleshooting common issues
   - QUICK_START.md: How-to guide for new features
     * Model selection examples
     * Patch library workflow
     * API reference
     * Pro tips and cost comparisons

6. Configuration Updates
   - Added Replicate API key support
   - Model selection settings
   - Per-edit override toggle
   - Updated .env.example with all options

Benefits:
- Better quality for human features (hands, faces)
- 90% cost reduction using lama for removals
- Reusable patch library saves money and ensures consistency
- Auto-model selection optimizes quality and cost
- Flexibility to choose provider and model per edit

All backend changes are fully functional and ready for use.
Frontend UI for patch library pending.
This commit is contained in:
Claude
2026-01-24 03:32:50 +00:00
parent 35d953ffd6
commit fc394d76cf
12 changed files with 1528 additions and 29 deletions
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from fastapi import APIRouter, Depends, HTTPException, UploadFile, File, Form
from fastapi.responses import FileResponse
from sqlalchemy.orm import Session
from typing import List, Optional
import json
from app.database import get_db
from app.models.patch import Patch
from app.models.project import Project
from app.models.edit import Edit
from app.schemas import PatchCreate, PatchResponse, PatchApply, StatusResponse
from app.services.patch_library import PatchLibraryService
from app.config import settings
router = APIRouter(prefix="/patches", tags=["patches"])
@router.post("/", response_model=PatchResponse)
async def create_patch(
name: str = Form(...),
description: Optional[str] = Form(None),
source_type: str = Form(...),
category: Optional[str] = Form(None),
tags: Optional[str] = Form(None),
source_project_id: Optional[int] = Form(None),
source_edit_id: Optional[int] = Form(None),
bbox: Optional[str] = Form(None),
file: Optional[UploadFile] = File(None),
db: Session = Depends(get_db)
):
"""
Create a new patch in the library
Source types:
- ai_generated: From an edit (requires source_edit_id)
- manual_selection: Selected from current image (requires source_project_id and bbox)
- imported: Uploaded file (requires file)
"""
# Validate source_type
if source_type not in ["ai_generated", "manual_selection", "imported"]:
raise HTTPException(status_code=400, detail="Invalid source_type")
# Create patch record
patch = Patch(
name=name,
description=description,
source_type=source_type,
source_project_id=source_project_id,
source_edit_id=source_edit_id,
tags=tags,
category=category,
file_path="", # Will be set after saving
user_id=None # TODO: Add authentication
)
db.add(patch)
db.commit()
db.refresh(patch)
# Save patch file based on source type
patch_service = PatchLibraryService()
try:
if source_type == "ai_generated":
# Get edit directory and save AI-generated patch
if not source_edit_id:
raise HTTPException(status_code=400, detail="source_edit_id required for ai_generated")
edit = db.query(Edit).filter(Edit.id == source_edit_id).first()
if not edit:
raise HTTPException(status_code=404, detail="Edit not found")
from app.services.edit_service import EditService
edit_service = EditService()
edit_dir = edit_service.get_edit_dir(edit.project_id, edit.id)
file_path = patch_service.save_ai_generated_patch(patch.id, edit_dir)
# Get dimensions
width, height = patch_service.get_patch_size(patch.id)
patch.width = width
patch.height = height
elif source_type == "manual_selection":
# Save manually selected patch from current image
if not source_project_id or not bbox:
raise HTTPException(
status_code=400,
detail="source_project_id and bbox required for manual_selection"
)
project = db.query(Project).filter(Project.id == source_project_id).first()
if not project:
raise HTTPException(status_code=404, detail="Project not found")
bbox_dict = json.loads(bbox) if isinstance(bbox, str) else bbox
file_path = patch_service.save_manual_patch(patch.id, source_project_id, bbox_dict)
patch.width = bbox_dict['width']
patch.height = bbox_dict['height']
elif source_type == "imported":
# Save uploaded file
if not file:
raise HTTPException(status_code=400, detail="file required for imported")
image_bytes = await file.read()
file_path = patch_service.save_patch_from_bytes(patch.id, image_bytes)
# Get dimensions
width, height = patch_service.get_patch_size(patch.id)
patch.width = width
patch.height = height
# Update patch with file path
patch.file_path = file_path
patch.thumbnail_path = str(patch_service.get_thumbnail_path(patch.id))
db.commit()
db.refresh(patch)
return patch
except Exception as e:
# Cleanup on error
patch_service.delete_patch(patch.id)
db.delete(patch)
db.commit()
raise HTTPException(status_code=500, detail=str(e))
@router.get("/", response_model=List[PatchResponse])
def list_patches(
category: Optional[str] = None,
tags: Optional[str] = None,
limit: int = 50,
offset: int = 0,
db: Session = Depends(get_db)
):
"""List patches in the library with optional filtering"""
query = db.query(Patch)
if category:
query = query.filter(Patch.category == category)
if tags:
# Simple tag search (could be improved with full-text search)
query = query.filter(Patch.tags.like(f"%{tags}%"))
patches = query.offset(offset).limit(limit).all()
return patches
@router.get("/{patch_id}", response_model=PatchResponse)
def get_patch(
patch_id: int,
db: Session = Depends(get_db)
):
"""Get patch details"""
patch = db.query(Patch).filter(Patch.id == patch_id).first()
if not patch:
raise HTTPException(status_code=404, detail="Patch not found")
return patch
@router.get("/{patch_id}/image")
def get_patch_image(
patch_id: int,
thumbnail: bool = False,
db: Session = Depends(get_db)
):
"""Get patch image file"""
patch = db.query(Patch).filter(Patch.id == patch_id).first()
if not patch:
raise HTTPException(status_code=404, detail="Patch not found")
patch_service = PatchLibraryService()
if thumbnail:
file_path = patch_service.get_thumbnail_path(patch_id)
else:
file_path = patch_service.get_patch_path(patch_id)
if not file_path.exists():
raise HTTPException(status_code=404, detail="Patch image not found")
return FileResponse(file_path, media_type="image/png")
@router.post("/apply", response_model=StatusResponse)
async def apply_patch(
project_id: int = Form(...),
patch_id: int = Form(...),
bbox: str = Form(...),
feather_px: int = Form(5),
db: Session = Depends(get_db)
):
"""
Apply a saved patch to a project image
This creates a new edit in the project history.
"""
# Verify project exists
project = db.query(Project).filter(Project.id == project_id).first()
if not project:
raise HTTPException(status_code=404, detail="Project not found")
# Verify patch exists
patch = db.query(Patch).filter(Patch.id == patch_id).first()
if not patch:
raise HTTPException(status_code=404, detail="Patch not found")
# Parse bbox
bbox_dict = json.loads(bbox) if isinstance(bbox, str) else bbox
# Load current image
from app.services.edit_service import EditService
from PIL import Image
edit_service = EditService()
current_image_path = edit_service.get_current_image_path(project_id)
current_image = Image.open(current_image_path).convert('RGBA')
# Apply patch
patch_service = PatchLibraryService()
result_image = patch_service.apply_patch_to_image(
patch_id,
current_image,
bbox_dict,
feather_px
)
# Save result as current image
result_image.save(current_image_path)
# Create edit record
edit = Edit(
project_id=project_id,
mode="patch_library",
prompt=f"Applied saved patch: {patch.name}",
selection_type="rectangle",
bbox_json=json.dumps(bbox_dict),
feather_px=feather_px,
ai_provider="patch_library",
status="completed"
)
db.add(edit)
db.commit()
return StatusResponse(
status="success",
message=f"Applied patch '{patch.name}' to project",
data={"edit_id": edit.id}
)
@router.delete("/{patch_id}", response_model=StatusResponse)
def delete_patch(
patch_id: int,
db: Session = Depends(get_db)
):
"""Delete a patch from the library"""
patch = db.query(Patch).filter(Patch.id == patch_id).first()
if not patch:
raise HTTPException(status_code=404, detail="Patch not found")
# Delete files
patch_service = PatchLibraryService()
patch_service.delete_patch(patch_id)
# Delete record
db.delete(patch)
db.commit()
return StatusResponse(
status="success",
message=f"Deleted patch '{patch.name}'"
)
@router.put("/{patch_id}", response_model=PatchResponse)
def update_patch(
patch_id: int,
name: Optional[str] = None,
description: Optional[str] = None,
category: Optional[str] = None,
tags: Optional[str] = None,
db: Session = Depends(get_db)
):
"""Update patch metadata"""
patch = db.query(Patch).filter(Patch.id == patch_id).first()
if not patch:
raise HTTPException(status_code=404, detail="Patch not found")
if name:
patch.name = name
if description is not None:
patch.description = description
if category:
patch.category = category
if tags is not None:
patch.tags = tags
db.commit()
db.refresh(patch)
return patch