fluxflow-ui 0.1.1

Web UI for FluxFlow text-to-image generation

FluxFlow UI

Web interface for FluxFlow text-to-image generation and training.

🚧 Model Availability Notice

Training In Progress: FluxFlow models are currently being trained. The UI is fully functional, but trained model checkpoints are not yet available for download.

When Available: Trained checkpoints will be published to MODEL_ZOO.md upon completion of the TRAINING_VALIDATION_PLAN.md.

Current Capabilities: You can use this UI to:

• Configure and launch training runs with your own datasets
• Monitor training progress in real-time
• Test the architecture with your own trained checkpoints

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Installation

Production Install

pip install fluxflow-ui

What gets installed:

• fluxflow-ui - Web interface for training and generation
• fluxflow-training - Training capabilities (automatically installed as dependency)
• fluxflow core package (transitively installed)
• CLI command: fluxflow-ui

Package available on PyPI: fluxflow-ui v0.1.1

Development Install

git clone https://github.com/danny-mio/fluxflow-ui.git
cd fluxflow-ui
pip install -e ".[dev]"

⚠️ Security Warning

FluxFlow UI is designed for local development use only.

• No authentication or authorization
• File browser can access entire filesystem
• Not hardened for production deployment

See SECURITY.md for details on security measures, limitations, and production deployment warnings.

Do not expose this application to the internet without additional security hardening.

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Features

• Training Interface: Configure and monitor training runs
• Generation Interface: Generate images with various parameters
• Real-time Progress: Monitor training progress with live updates
• Model Management: Load and manage checkpoints
• Interactive Controls: Adjust generation parameters in real-time

Quick Start

Launch the Web UI

FluxFlow UI supports two interfaces:

Flask (Primary - Recommended):

fluxflow-ui

Gradio (Alternative):

python -m fluxflow_ui.app

Then open your browser to http://localhost:7860

Note: Flask is the primary interface with full features. Gradio is provided as an alternative but may have limited functionality.

Features

Training Tab

• Configure training parameters
• Start/stop training runs
• Monitor loss curves and metrics
• View sample generations during training

Generation Tab

• Load trained models
• Generate images from text prompts
• Adjust sampling parameters
• Batch generation support

Package Contents

• fluxflow_ui.tabs - UI tab implementations
• fluxflow_ui.utils - Config management and training runners
• fluxflow_ui.templates - HTML templates
• fluxflow_ui.static - CSS and JavaScript assets

Configuration

The UI runs on http://0.0.0.0:7860 by default. To customize the host and port, modify the main() function in app_flask.py.

Development

Install with development dependencies:

pip install -e ".[dev]"

Links

• GitHub Repository
• Security Policy
• User Guide

License

MIT License - see LICENSE file for details.