Backend: - requirements.txt: add simple-lama-inpainting, rembg[gpu]; upgrade opencv to 4.10+ - app/config.py: add InvokeAI (url, model) and ComfyUI (url, model) settings; OPENAI_MODEL - app/services/local_inpaint.py: LaMa, OpenCV, rembg wrappers (auto GPU/CPU) - app/services/remote_provider.py: abstract RemoteAIProvider + OpenAI, InvokeAI, ComfyUI drivers - app/routers/ai_tools.py: new /api/* endpoints — /erase, /inpaint/lama, /inpaint/fast, /background/remove, /inpaint/remote, /generate/txt2img, /generate/img2img, /generate/outpaint, GET /config (capability flags) - app/main.py: register ai_tools router Frontend: - services/api.js: add erase(), textToImage(), imageToImage(), remoteInpaint(), getConfig() - api/capabilities.js: lazy-fetch /api/config singleton; hasRemote() helper - tools/ai_lama_erase.js: brush-paint mask → LaMa erase → apply to layer - tools/ai_smart_inpaint.js: brush mask + dialog (Fast/Quality mode + prompt) → inpaint - core/components/provider-badge.js: shows active provider + health in toolbar - config.js: register ai_lama_erase and ai_smart_inpaint tools - main.js: mount provider badge on load - .env.example: document InvokeAI, ComfyUI, OpenAI provider settings https://claude.ai/code/session_01B58MaJCU1R6KwBDJCp8AfN
171 lines
9.8 KiB
Bash
171 lines
9.8 KiB
Bash
# =============================================================================
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# AI Photo Edit - Environment Configuration
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# =============================================================================
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#
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# SETUP INSTRUCTIONS:
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# 1. Copy this file to .env: cp .env.example .env
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# 2. Get API key from Replicate (see below)
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# 3. Paste your key in the REPLICATE_API_KEY line
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# 4. Rebuild: docker-compose up -d --build
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#
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# =============================================================================
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# =============================================================================
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# STEP 1: Choose AI Provider
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# =============================================================================
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# Options: mock, openai, stability, replicate
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#
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# mock = Free, but returns original image unchanged (for testing UI)
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# openai = DALL-E 2 inpainting (~$0.02/image) - lower quality
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# stability = Stability AI SDXL (~$0.01/image) - good quality
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# replicate = Multiple models (~$0.002-0.03/image) - RECOMMENDED
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#
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# RECOMMENDED: Use "replicate" for best quality and model variety
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# =============================================================================
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AI_PROVIDER=replicate
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# =============================================================================
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# STEP 2: Get Your API Key
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# =============================================================================
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#
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# ╔═══════════════════════════════════════════════════════════════════════════╗
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# ║ REPLICATE (RECOMMENDED) ║
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# ╠═══════════════════════════════════════════════════════════════════════════╣
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# ║ ║
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# ║ 1. Go to: https://replicate.com ║
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# ║ 2. Click "Sign in" (use GitHub, Google, or email) ║
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# ║ 3. Go to: https://replicate.com/account/api-tokens ║
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# ║ 4. Click "Create token" ║
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# ║ 5. Copy the token (starts with "r8_") ║
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# ║ 6. Paste it below after REPLICATE_API_KEY= ║
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# ║ ║
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# ║ FREE TIER: New accounts get some free credits to try models! ║
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# ║ PRICING: ~$0.002-0.03 per image depending on model ║
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# ║ ║
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# ╚═══════════════════════════════════════════════════════════════════════════╝
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REPLICATE_API_KEY=r8_PASTE_YOUR_KEY_HERE
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# ───────────────────────────────────────────────────────────────────────────
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# OPENAI (cloud, dall-e-3 / gpt-image-1)
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# Get key at: https://platform.openai.com/api-keys
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# AI_PROVIDER=openai
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# ───────────────────────────────────────────────────────────────────────────
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#OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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#OPENAI_MODEL=dall-e-3
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# ───────────────────────────────────────────────────────────────────────────
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# INVOKEAI (self-hosted, best for Flux/SDXL)
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# Run InvokeAI on your local machine or NAS, point URL here.
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# AI_PROVIDER=invokeai
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# ───────────────────────────────────────────────────────────────────────────
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#INVOKEAI_URL=http://192.168.1.x:9090
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#INVOKEAI_DEFAULT_MODEL=flux-dev
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# ───────────────────────────────────────────────────────────────────────────
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# COMFYUI (self-hosted, workflow JSON API)
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# AI_PROVIDER=comfyui
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# ───────────────────────────────────────────────────────────────────────────
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#COMFYUI_URL=http://192.168.1.x:8188
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#COMFYUI_DEFAULT_MODEL=v1-5-pruned-emaonly.ckpt
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# ───────────────────────────────────────────────────────────────────────────
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# STABILITY AI (Alternative)
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# Get key at: https://platform.stability.ai/account/keys
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# ───────────────────────────────────────────────────────────────────────────
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#STABILITY_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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# =============================================================================
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# STEP 3: Model Selection (OPTIONAL - for advanced users)
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# =============================================================================
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#
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# By default, the system AUTO-SELECTS the best model based on your prompt:
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# - Prompt contains "remove/erase/delete" → Uses LaMa (fast removal)
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# - Prompt contains "face/hands/person" → Uses Realistic Vision
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# - Everything else → Uses SDXL Inpaint
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#
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# To FORCE a specific model, uncomment ONE line below:
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# ───────────────────────────────────────────────────────────────────────────
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# REPLICATE_MODEL=sdxl-inpaint # General purpose, good quality (~$0.01)
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# REPLICATE_MODEL=lama # Object removal ONLY (~$0.002, fastest)
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# REPLICATE_MODEL=realistic-vision # Faces, hands, skin (~$0.02)
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# ───────────────────────────────────────────────────────────────────────────
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# IMPORTANT: About Flux and other text-to-image models
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# ───────────────────────────────────────────────────────────────────────────
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#
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# Models like "black-forest-labs/flux-kontext-pro" are TEXT-TO-IMAGE models.
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# They generate NEW images from text, they DON'T edit existing images.
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#
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# For EDITING (inpainting), you need models that accept:
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# - An existing image
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# - A mask showing what to change
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# - A prompt describing the change
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#
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# WORKS for editing: DOESN'T work for editing:
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# ✓ sdxl-inpaint ✗ flux-kontext-pro (text-to-image)
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# ✓ lama ✗ flux-dev (text-to-image)
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# ✓ realistic-vision ✗ ideogram (text-to-image)
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#
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# ───────────────────────────────────────────────────────────────────────────
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# Stability AI model selection (if using AI_PROVIDER=stability)
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#STABILITY_MODEL=sdxl # Options: sdxl, sd15, sd21
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# =============================================================================
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# SECURITY (Change this in production!)
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# =============================================================================
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SECRET_KEY=change-this-to-a-long-random-string-in-production
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# =============================================================================
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# ADVANCED SETTINGS (Usually don't need to change)
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# =============================================================================
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# CORS origins (comma-separated)
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CORS_ORIGINS=http://localhost:5173,http://localhost:3000,http://localhost:3080,http://localhost
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# Database path
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DATABASE_URL=sqlite:///./data/ai_photo_edit.db
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# Auto-download SAM model on startup (true/false)
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# When true (default): Downloads SAM model (~375MB) on first startup for offline Smart Select
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# When false: Skips download, Smart Select uses Replicate API (requires REPLICATE_API_KEY)
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AUTO_DOWNLOAD_SAM=true
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# Allow users to select model per-edit
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ALLOW_MODEL_OVERRIDE=true
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# =============================================================================
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# TROUBLESHOOTING
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# =============================================================================
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#
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# PROBLEM: "405 Method Not Allowed" errors
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# FIX: Rebuild container: docker-compose build --no-cache && docker-compose up -d
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#
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# PROBLEM: "REPLICATE_API_KEY not configured"
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# FIX: 1. Make sure .env file exists (not just .env.example)
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# 2. Make sure REPLICATE_API_KEY has your actual key
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# 3. Restart: docker-compose down && docker-compose up -d
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#
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# PROBLEM: Edits don't change the image
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# FIX: Check AI_PROVIDER isn't set to "mock"
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#
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# PROBLEM: "rembg not installed"
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# FIX: Rebuild: docker-compose build --no-cache backend
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#
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# PROBLEM: Smart Select uses flood-fill instead of AI
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# FIX: Smart Select needs REPLICATE_API_KEY for SAM model
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#
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# CHECK LOGS: docker-compose logs -f backend
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#
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# =============================================================================
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