Bagel introduced Paris today, a diffusion model that the team trained in a decentralized way and released with open weights. Bagel calls Paris the first model of its kind. The project targets creators and developers who want more freedom to build and ship.
Key highlights
- Bagel unveils Paris, a decentralized trained open-weight diffusion model
- Open for both research and commercial use
- Name honors Paris, a city known for sheltering bold creators
- Aims to broaden access to generative tools without one gatekeeper
What is Paris
Paris is a generative model built on diffusion. People often use diffusion models to create images and other media. Bagel released the model with open weights, so teams can run it on their own hardware and explore how it works.
Why decentralized training matters
Bagel says it trained Paris in a decentralized way. That approach can spread work across many machines and reduce control by a single host. It may lower costs, improve speed, and invite wider input from builders around the world.
Who can use it
Bagel allows both research and commercial use. Startups, labs, and artists can test Paris in products, prototypes, or studies without waiting for extra approvals.
Why the name “Paris”
The team chose the name to honor Paris, a city that often gives cover to makers who create without permission. The brand nods to open culture and artistic freedom.
Availability and next steps
Bagel shared the news on X under @bageldotcom. Visit bagel.com or the post for access, setup details, and updates. We will update this story as Bagel shares more information.
