ThinkDiffusion provides cloud-based virtual machines with open-source AI art tools. It targets individuals, teams, schools, and creators who want to run open-source AI art workflows in a private cloud workspace, with persistent storage and one-click setup. The platform supports multiple UI options and various open-source apps, enabling users to work with Stable Diffusion, ComfyUI, Flux, and related tools without local hardware management.
Users can launch dedicated machines in the cloud, access models from external repositories, upload their own models, and install extensions. The system emphasizes private, dedicated workspaces where files and configurations stay within each user’s environment, reducing setup complexity and maintenance.
The platform highlights private, configurable workspaces, 1-click launches, and the ability to run multiple machines simultaneously. It emphasizes that users can upload models, manage extensions, and use a variety of open-source tools to build AI art workflows in the cloud.
ThinkDiffusion presents plans and pricing, private machines, and per-plan limits, with integrations across multiple apps and support for training and deployment workflows. It notes plans, storage limits, and team collaboration features, as well as dedicated hardware and persistence across sessions.
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