{"id":46845239,"url":"https://github.com/andrewmarconi/generative-creative-lab","last_synced_at":"2026-03-10T14:17:11.698Z","repository":{"id":336708709,"uuid":"1148221059","full_name":"andrewmarconi/generative-creative-lab","owner":"andrewmarconi","description":"A modular framework for creative development, exploration, and experimentation using generative AI. 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Built with Django and Celery, this system provides a flexible platform for multi-model diffusion image generation with dynamic model composition, prompt enhancement, and extensible architecture.\n\n## Philosophy\n\nGenerative Creative Lab is designed as a **creative laboratory** - not just a tool for generating images, but a framework for exploring the intersection of different AI models, prompting strategies, and creative workflows. It enables rapid experimentation through:\n\n- **Model Modularity**: Mix and match diffusion models, LoRAs, and enhancement strategies\n- **Prompt Evolution**: Transform and refine prompts using multiple enhancement approaches\n- **Workflow Orchestration**: Queue-based processing for batch experimentation\n- **Extensible Architecture**: Easy to add new models, enhancement methods, and creative tools\n\n## Core Capabilities\n\n### Generative Models\n- **Diffusion Models**: Z-Image Turbo, Flux.1-dev, Flux.2 Klein, SDXL Turbo, Juggernaut XL, DreamShaper XL Lightning, Realistic Vision v5.1\n- **Dynamic LoRA Integration**: Architecture-aware LoRA filtering with CivitAI auto-download\n- **Flexible Model Loading**: Local `.safetensors` files or HuggingFace Hub models\n\n### Creative Enhancement\n- **Multi-Strategy Prompt Enhancement**: Rule-based transformations, local LLM refinement (Qwen2.5-3B), or Anthropic API enhancement\n- **Iterative Workflows**: Chain multiple enhancement steps for prompt evolution\n- **Batch Experimentation**: Queue multiple variations for systematic exploration\n\n### Development Framework\n- **Template Method Architecture**: Extensible base classes for adding new models and behaviors\n- **Configuration-Driven**: JSON-based model and LoRA configuration with database sync\n- **Process Isolation**: Separate Celery workers for generation and enhancement tasks\n\n## Documentation\n\nFull documentation, guides, and API reference available at:\n\n**https://andrewmarconi.github.io/generative-creative-lab**\n\n- [Quick Start Guide](https://andrewmarconi.github.io/generative-creative-lab/guides/quickstart.html) - Get up and running\n- [System Architecture](https://andrewmarconi.github.io/generative-creative-lab/architecture.html) - Technical overview\n- [Adding New Models](https://andrewmarconi.github.io/generative-creative-lab/guides/adding-models.html) - Extend the framework\n- [API Reference](https://andrewmarconi.github.io/generative-creative-lab/api/index.html) - Module documentation\n\n## Contributing\n\nThis is an open creative framework. Contributions welcome for:\n- New model implementations\n- Creative enhancement strategies\n- Workflow improvements\n- Documentation and examples\n\n## License and Non-Commercial Use\n\nGenerative Creative Lab is provided as a **creative laboratory** for experimentation with generative AI workflows. It is licensed under the **Generative Creative Lab Non-Commercial License**, which permits use, modification, and distribution **only for Non-Commercial Purposes**.\n\nIf you want to use Generative Creative Lab or derivatives of it in any commercial or production setting, you must obtain a separate commercial license from the project owner.\n\nBy using or contributing to this repository, you agree to the terms of the Generative Creative Lab Non-Commercial License.\n\nSee the [LICENSE](./LICENSE.md) file for full details.\n\n\n## Citing This Software\n\nIf you use this software in your research, please cite it using the following BibTeX entry:\n\n```bibtex\n@misc{marconi2026generativecreativelab,\n  author       = {Andrew Marconi},\n  title        = {Generative Creative Lab},\n  year         = {2026},\n  howpublished = {\\url{https://andrewmarconi.github.io/generative-creative-lab}},\n  note         = {Interactive web project},\n}\n```\n\n\u003e **Marconi, A.** (2026). *Generative Creative Lab* [Interactive web project]. Retrieved from https://andrewmarconi.github.io/generative-creative-lab\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandrewmarconi%2Fgenerative-creative-lab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandrewmarconi%2Fgenerative-creative-lab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandrewmarconi%2Fgenerative-creative-lab/lists"}