The Best ComfyUI Hosting Platforms in 2025
ComfyUI has undoubtedly come out on top when it comes to accessing open-source AI models for image and video generation. What makes it so powerful is how flexible it is, making it a perfect tool to build and automate GenAI powered pipelines. All of this through an easy-to-use node-based interface.
For people needing to take those pipelines to the next level and run them in the cloud, there are a few great options tailored to different use cases. In this post, we compare the top platforms in 2025 for hosting ComfyUI workflows for different profiles, from solo artists needing a quick and easy setup to enterprise teams looking for a robust and scalable platform.
In particular, we reviewed the following services:
Comparison Table
| Platform | Pricing model | Comfy workspace | API | Differentiator |
|---|---|---|---|---|
| ViewComfy |
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Flexible infrastructure with many prebuilt features and off the shelf speed optimizations. | Easily turn workflows into serverless APIs or user-friendly apps with the integrated app builder. |
| RunComfy |
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Basic with no autoscaling and long cold starts. | Many preloaded, ready-to-use workflows, and possibility to use closed-source models in their playground. |
| RunPod |
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Limited prebuilt features but very flexible infrastructure if you know how to code it. | Fully flexible if you have the technical skills. |
| Replicate |
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Flexible infrastructure with many prebuilt features but long cold starts. | Very flexible if you have the technical skills. Possibility to run some models under commercial licenses. |
| RunDiffusion |
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Basic with no autoscaling and long cold starts. | Lots of resources to get started and support other open source tools like Automatic1111 and kohya_ss. |
| ComfyICU |
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Basic with shared queue with other users. | Run workflows in batch. |
ViewComfy: A fast and easy way to turn workflows into APIs or Web Apps without writing a line of code.
ViewComfy is a cloud platform designed to run ComfyUI workflows and transform them into shareable web apps or serverless APIs without needing to write any code. It provides fully customizable environments where users can install any custom node, Python library, or model, giving users full flexibility over their setup.
Beyond simply running workflows through the standard ComfyUI interface, ViewComfy focuses on helping users build user-friendly applications on top of their workflows. With its no-code app builder, you can easily turn workflows into tools that can be shared with others via their built-in user management system. And for people who prefer to use their own UI, ViewComfy offers serverless API access with autoscaling.
Its enterprise features—such as SSO support and private S3 bucket integration—make it especially attractive to teams and organizations looking to empower their designers with AI in a secure and scalable way.
RunComfy: Get started right away with prebuilt workflows and an easy-to-use playground.
RunComfy is a dedicated ComfyUI cloud platform geared toward artists and hobbyists. It provides pre-configured ComfyUI environments with zero setup, and a library of ready-to-run workflows. This makes it easy to get started or to try the latest trendy workflow.
More advanced users can access the manager to install node packs and build their own workflows. RunComfy also has a playground where users can easily access models via a more traditional app interface. This alternative to ComfyUI also includes closed-source models like Midjourney.
The pay-as-you-go plan is perfect for getting started, and their pro plan supports more advanced features like persistent storage or access to CPU machines.
RunPod: Cheap, fully customizable GPU instances.
RunPod is a general-purpose cloud GPU provider rather than a ComfyUI-specific service. It offers on-demand GPU instances and a serverless API. Using RunPod for ComfyUI means setting it up yourself using JupiterLab and the terminal, or using community templates. This yields maximum flexibility and potentially lower cost, but with significantly more hands-on management.
They offer a wide range of GPUs, including the RTX series, through their pay-as-you-go system. Sessions can also be saved inside dedicated volumes that can be attached to a new GPU when needed.
Replicate: Wide range of prebuilt APIs for developers, with the option to deploy your own.
Replicate is a platform designed to run and deploy machine learning models via API. It’s well-known for hosting a community-driven model library and for its developer-friendly API.
While Replicate wasn’t built exclusively for ComfyUI, it does support it via container templates. Using Replicate with ComfyUI means containerizing a ComfyUI workflow into their format (called Cog), then letting Replicate handle serving it on demand.
If you are a developer looking for a fully managed API with autoscaling, Replicate is a strong choice. On the flip side, unlike with other services in this list, you can’t access ComfyUI via it’s interface.
RunDiffusion: Supports a range of open-source tools with plenty of documentation to help beginners get started.
RunDiffusion is an AI generative platform that supports image and video generation through multiple interfaces (Automatic1111, ComfyUI, etc.).
It is a user-friendly solution, offering cloud environments to run open-source generative tools. In the context of ComfyUI, RunDiffusion provides a managed environment, and lots of educational content. This makes it easy to get started, but if you need to install specific custom nodes, it can be complicated.
RunDiffusion operates on a subscription model with tiered plans, each coming with a set amount of GPU hours. If you exceed your plan’s limit, they also have a credit system where you can purchase extra generation credits.
ComfyICU: Run your workflows in batch over multiple GPUs.
ComfyICU is designed for users who want to launch large-scale batch jobs without managing infrastructure. The platform requires zero setup—users don’t launch or manage machines manually—and includes a dashboard for workflow management and tracking run history.
One of ComfyICU’s strengths is its ability to parallelize tasks across multiple GPUs. While the platform restricts custom node installation, it has a wide library of preinstalled nodes and users can upload their own models.
Something unique about ComfyICU is that it operates in a shared environment with other users, meaning you may wait in a queue when sending a request, depending on your plan. For teams or enterprise users, they can offer private GPU clusters, as well as advanced analytics.
Conclusion
Each platform in this space serves a unique purpose. If you’re looking for maximum flexibility and control, platforms like RunPod or Replicate offer powerful solutions—provided you’re comfortable with containerization, scripting, or infrastructure setup. For individuals and enthusiasts, RunComfy and RunDiffusion offer fast ways to explore and experiment with ComfyUI workflows, while ComfyICU caters parallelized use cases.
But if you're a studio or company aiming to turn complex workflows into intuitive tools for your team—or share them as scalable APIs without the engineering overhead—ViewComfy is built for you. It bridges the gap between flexibility and usability, making it easy to build shareable apps or endpoints from any ComfyUI workflow, while supporting the enterprise features teams depend on.
Want to turn your ComfyUI workflow into a web app or API in minutes? Try ViewComfy now or get in touch.