https://github.com/andrewmarconi/generative-creative-lab
A modular framework for creative development, exploration, and experimentation using generative AI. 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.
https://github.com/andrewmarconi/generative-creative-lab
ai-art apple-silicon celery creative-tools diffusion-models django flux generative-ai image-generation lora prompt-engineering python sdxl stable-diffusion text-to-image
Last synced: 4 months ago
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A modular framework for creative development, exploration, and experimentation using generative AI. 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.
- Host: GitHub
- URL: https://github.com/andrewmarconi/generative-creative-lab
- Owner: andrewmarconi
- License: other
- Created: 2026-02-02T18:05:21.000Z (5 months ago)
- Default Branch: develop
- Last Pushed: 2026-02-13T20:49:26.000Z (4 months ago)
- Last Synced: 2026-02-14T03:39:28.984Z (4 months ago)
- Topics: ai-art, apple-silicon, celery, creative-tools, diffusion-models, django, flux, generative-ai, image-generation, lora, prompt-engineering, python, sdxl, stable-diffusion, text-to-image
- Language: Python
- Homepage:
- Size: 5.81 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE.md
- Citation: CITATION.cff
- Notice: NOTICE
- Agents: AGENTS.md
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README
# Generative Creative Lab
A modular framework for creative development, exploration, and experimentation using generative AI. 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.
## Philosophy
Generative 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:
- **Model Modularity**: Mix and match diffusion models, LoRAs, and enhancement strategies
- **Prompt Evolution**: Transform and refine prompts using multiple enhancement approaches
- **Workflow Orchestration**: Queue-based processing for batch experimentation
- **Extensible Architecture**: Easy to add new models, enhancement methods, and creative tools
## Core Capabilities
### Generative Models
- **Diffusion Models**: Z-Image Turbo, Flux.1-dev, Flux.2 Klein, SDXL Turbo, Juggernaut XL, DreamShaper XL Lightning, Realistic Vision v5.1
- **Dynamic LoRA Integration**: Architecture-aware LoRA filtering with CivitAI auto-download
- **Flexible Model Loading**: Local `.safetensors` files or HuggingFace Hub models
### Creative Enhancement
- **Multi-Strategy Prompt Enhancement**: Rule-based transformations, local LLM refinement (Qwen2.5-3B), or Anthropic API enhancement
- **Iterative Workflows**: Chain multiple enhancement steps for prompt evolution
- **Batch Experimentation**: Queue multiple variations for systematic exploration
### Development Framework
- **Template Method Architecture**: Extensible base classes for adding new models and behaviors
- **Configuration-Driven**: JSON-based model and LoRA configuration with database sync
- **Process Isolation**: Separate Celery workers for generation and enhancement tasks
## Documentation
Full documentation, guides, and API reference available at:
**https://andrewmarconi.github.io/generative-creative-lab**
- [Quick Start Guide](https://andrewmarconi.github.io/generative-creative-lab/guides/quickstart.html) - Get up and running
- [System Architecture](https://andrewmarconi.github.io/generative-creative-lab/architecture.html) - Technical overview
- [Adding New Models](https://andrewmarconi.github.io/generative-creative-lab/guides/adding-models.html) - Extend the framework
- [API Reference](https://andrewmarconi.github.io/generative-creative-lab/api/index.html) - Module documentation
## Contributing
This is an open creative framework. Contributions welcome for:
- New model implementations
- Creative enhancement strategies
- Workflow improvements
- Documentation and examples
## License and Non-Commercial Use
Generative 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**.
If 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.
By using or contributing to this repository, you agree to the terms of the Generative Creative Lab Non-Commercial License.
See the [LICENSE](./LICENSE.md) file for full details.
## Citing This Software
If you use this software in your research, please cite it using the following BibTeX entry:
```bibtex
@misc{marconi2026generativecreativelab,
author = {Andrew Marconi},
title = {Generative Creative Lab},
year = {2026},
howpublished = {\url{https://andrewmarconi.github.io/generative-creative-lab}},
note = {Interactive web project},
}
```
> **Marconi, A.** (2026). *Generative Creative Lab* [Interactive web project]. Retrieved from https://andrewmarconi.github.io/generative-creative-lab