Free
$0Free plan available.
ThinkDiffusion is a cloud-based platform providing access to open-source generative AI tools like Stable Diffusion, ComfyUI, and more. It offers powerful cloud workspaces for AI art and video generation, accessible from any device with a browser. ThinkDiffusion also offers full-service AI art studio for brands, agencies, and universities.
Sign up for an account, select your preferred hardware configuration, and launch your chosen AI application (such as Automatic1111 or ComfyUI) with a single click. From there, you can upload models, install extensions, and begin your creative work.
ThinkDiffusion functions as a personal AI art lab. We provide access to professional-grade AI art tools by enabling you to run the latest Stable Diffusion interfaces on any device with a web browser in just a few clicks.
ThinkDiffusion supports Stable Diffusion, ComfyUI, Flux, Automatic1111, Forge, Kohya, and all major AI video generation applications.
Key features include access to industry-standard open-source applications, the ability to run multiple machines simultaneously, dedicated storage, support for custom extensions, and private, dedicated workspaces.
Yes, you can execute complex AI workflows on any device equipped with a web browser, including smartphones.
Yes, your machine and workspace are entirely private. None of your work is shared publicly.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to ThinkDiffusion.
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Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
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