managarten/services/mana-image-gen/CLAUDE.md

CLAUDE.md - Mana Image Generation Service

Service Overview

AI image generation microservice using FLUX.2 klein 4B model via flux2.c:

• Port: 3025
• Framework: Python + FastAPI
• Model: FLUX.2 klein 4B (Black Forest Labs)
• Backend: flux2.c (Pure C, MPS accelerated)

Features

• Sub-second generation on Apple Silicon (M4)
• Memory efficient: ~4-5 GB RAM usage (memory-mapped weights)
• Apache 2.0 license: Commercially usable
• 4 sampling steps: Optimized for speed
• 1024x1024 default resolution

Commands

# Setup (installs flux2.c + downloads model)
./setup.sh

# Development
source .venv/bin/activate
FLUX_BINARY=/opt/flux2/flux FLUX_MODEL_DIR=/opt/flux2/model \
  uvicorn app.main:app --host 0.0.0.0 --port 3025 --reload

# Production
../../scripts/mac-mini/setup-image-gen.sh

# Test
curl http://localhost:3025/health
curl -X POST http://localhost:3025/generate \
  -H "Content-Type: application/json" \
  -d '{"prompt": "A cat in space"}' | jq

File Structure

services/mana-image-gen/
├── app/
│   ├── __init__.py
│   ├── main.py              # FastAPI endpoints
│   └── flux_service.py      # flux2.c subprocess wrapper
├── setup.sh                 # Setup script
├── requirements.txt
├── CLAUDE.md
└── README.md

API Endpoints

Endpoint	Method	Purpose
/health	GET	Health check
/models	GET	Model info
/generate	POST	Generate image
/images/{filename}	GET	Serve generated image
/images/{filename}	DELETE	Delete image
/cleanup	POST	Clean old images

Generate Request

{
  "prompt": "A beautiful sunset over mountains",
  "width": 1024,
  "height": 1024,
  "steps": 4,
  "seed": -1,
  "output_format": "png"
}

Generate Response

{
  "success": true,
  "image_url": "/images/abc123.png",
  "prompt": "A beautiful sunset over mountains",
  "width": 1024,
  "height": 1024,
  "steps": 4,
  "seed": 42,
  "generation_time": 0.85
}

Environment Variables

Variable	Default	Description
PORT	3025	Service port
FLUX_BINARY	/opt/flux2/flux	Path to flux2.c binary
FLUX_MODEL_DIR	/opt/flux2/model	Path to model weights
DEFAULT_STEPS	4	Default sampling steps
DEFAULT_WIDTH	1024	Default image width
DEFAULT_HEIGHT	1024	Default image height
GENERATION_TIMEOUT	120	Timeout in seconds
MAX_PROMPT_LENGTH	2000	Max prompt chars
CORS_ORIGINS	(production URLs)	CORS config

Model Details

FLUX.2 klein 4B

• Parameters: 4 billion
• License: Apache 2.0 (commercial use allowed)
• Download size: ~16 GB
• RAM usage: ~4-5 GB (memory-mapped)
• Optimal steps: 4 (distilled model)
• Release: January 2026

Integration with Other Apps

The service is designed to be used by:

• Picture App (apps/picture/) - AI image generation platform
• Chat App (apps/chat/) - Inline image generation
• Matrix Bots - Image generation via chat commands
• API Gateway - Public API access

Example Integration (TypeScript)

const response = await fetch('http://localhost:3025/generate', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    prompt: 'A futuristic city at night',
    width: 1024,
    height: 1024,
  }),
});

const result = await response.json();
const imageUrl = `http://localhost:3025${result.image_url}`;

Dependencies

• fastapi - Web framework
• uvicorn - ASGI server
• pillow - Image processing
• flux2.c - Native binary (installed separately)

Performance

On Mac Mini M4 (16 GB):

Resolution	Steps	Time
512x512	4	~0.3s
1024x1024	4	~0.8s
1024x1024	8	~1.5s

Troubleshooting

flux2.c not found

# Verify installation
ls -la /opt/flux2/flux

# Reinstall
sudo rm -rf /opt/flux2
./setup.sh

Model not found

# Check model directory
ls -la /opt/flux2/model/

# Re-download
cd /opt/flux2/src
./download-model.sh /opt/flux2/model

Out of memory

• Reduce resolution to 512x512
• Close other applications
• The 16 GB Mac Mini should handle 1024x1024 fine

Slow generation

• Ensure MPS build was used: make mps
• Check Metal GPU is being used
• Reduce steps (4 is optimal for klein)