Skip to content

README.md

Latest commit

 

History

History
77 lines (52 loc) · 3.95 KB

README.md

File metadata and controls

77 lines (52 loc) · 3.95 KB

Generative Creative Lab

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

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 file for full details.

Citing This Software

If you use this software in your research, please cite it using the following BibTeX entry:

@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