bageldotcom/paris
paris - world's first decentralized trained open-weight diffusion model
Paris helps artists, designers, and researchers generate high-quality images from text descriptions. You provide a text prompt, and Paris outputs a corresponding image. It is designed for those who need to create diverse visual content efficiently without needing extensive computational resources.
No commits in the last 6 months.
Use this if you need to generate images from text prompts and want a powerful, open-source model that was trained with unique efficiency.
Not ideal if you need to fine-tune a model on a very specific, niche dataset with full gradient synchronization across a dedicated GPU cluster.
Stars
53
Forks
4
Language
—
License
MIT
Category
Last pushed
Oct 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/bageldotcom/paris"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
bghira/SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
mcmonkeyprojects/SwarmUI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an...
nateraw/stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
TheDesignFounder/DreamLayer
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.