UI tool for multimodal (text, image) AI model experimentation
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Peacasso provides a user-friendly UI and Python API for experimenting with multimodal AI art generation models, specifically Stable Diffusion. It targets users who want an accessible workflow for text-to-image and image-to-image generation, offering features like parameter tuning, image remixing, and intermediate image visualization, simplifying complex AI art creation.
How It Works
Peacasso leverages HuggingFace's Stable Diffusion implementations, offering a curated set of default operations through a Python API and a web-based UI. Its design is informed by communication theory and human-AI interaction research, aiming for an intuitive user experience. Key features include latent space interpolation and visualization of intermediate diffusion steps, allowing deeper exploration of the generation process.
Quick Start & Requirements
pip install peacasso
pip install -e .
.peacasso ui --port=8080
Highlighted Details
Maintenance & Community
The project is actively developed by Victor Dibia. Further community engagement details (e.g., Discord/Slack) are not explicitly mentioned in the README.
Licensing & Compatibility
Peacasso itself appears to be under a permissive license, but it relies on Stable Diffusion models, which are subject to the CreativeML Open RAIL-M license. This license may have restrictions on commercial use and redistribution.
Limitations & Caveats
The project is marked as "[Beta]" and is still under development, with several features listed on the roadmap as incomplete (e.g., full editor, prompt recommendation, defined workflows). Users should expect potential bugs and ongoing changes.
1 year ago
1 week