
Comfy Deploy
ActiveComfyUI for everyone on your team
About
ComfyUI is the most popular open-source framework to build media generation workflows. However, it's a single-player experience that needs to run on a local GPU. Everyone has different environments and sharing workflows to someone else can take days to get setup. Comfy Deploy fixes this by creating a collaborative workspace, where a teams environemnt, models and workflows can be shared as easily with a link. **Team ComfyUI workspace** • Replacing cobbled-together solutions with a unified, team-focused environment. When it works for you, you can be sure it works for your team. • Eliminate "works on my machine" issues with version control. • Share storage for models and outputs. • Leverage the power of ComfyUI without the complexities of self-hosting **Powerful GPU Infrastructure** • Access managed GPUs that grow with your teams needs • Tailor the platform to your requirements by easily installing custom nodes and models **Custom configuration** • Download the models you want, stored privately in your personal volume • Install the custom nodes your workflow needs • Train models on your own datasets. **API Deployments: From workflow to production in seconds** • Transform any workflow into a fully functional API immediately without extra engineering • Comprehensive observability on every run • Built-in API authentication • TS/JS/Python/Ruby SDKs for seamless integration
Founders · 2
Building ComfyDeploy, a platform empowering teams to deploy custom AI workflows using ComfyUI. With a background in music, game development, and programming, he's passionate about making advanced AI tools accessible to non-technical users, revolutionizing how teams interact with AI in creative processes.
Launch
The best way for product teams to build and tailor AI video and image workflows using ComfyUI, then instantly deploy those workflows as APIs.
ComfyDeploy provides a managed, team-friendly ComfyUI environment to build and tailor AI video and image workflows, share and edit them across teams, and deploy them instantly as scalable APIs with multi-language SDKs.
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