ComfyUI

ComfyUI is a graph-based interface for running diffusion and other generative models. Instead of a single prompt box, you wire together nodes (loaders, samplers, conditioning, upscalers and more) into a workflow you can inspect, reuse and share. That transparency is why it became a go-to tool for people who want precise control over how an image or video is generated.

The project is actively maintained on GitHub (Comfy-Org/ComfyUI), with new releases issued roughly weekly covering reworked nodes, expanded model support and performance updates across GPU generations.

Beyond still images, ComfyUI can drive video, audio and other generation through open models and partner API nodes, including integrations from vendors such as Anthropic, Ideogram, HeyGen, Black Forest Labs and xAI, so it is no longer only an image tool. You can chain multiple models, mix custom and community nodes, batch-process, and export whole workflows as reusable JSON files.

Pricing has two sides. The self-hosted software is free and open source (GPL-3.0) via GitHub. The official Comfy Cloud managed service offers a one-off free trial of 5 GPU runs with no credit card required (no model import, 30-minute max runtime), then paid tiers billed monthly or at a discount annually: Standard at $20/month, Creator at $35/month (with model import from CivitAI and Hugging Face), Pro at $100/month, and Team at $700/month for up to 50 members with a shared credit pool, plus a custom Enterprise tier.

The main limitation is the learning curve: the node graph is powerful but intimidating for beginners, and running locally means managing GPU hardware, model files and dependencies yourself. Comfy Cloud removes the setup burden but ties usage to a metered credit budget and runtime caps that scale with the paid tier.

Choose ComfyUI if you want deep, reproducible control over generation, are comfortable with a technical interface, or want to start free locally and move to a managed cloud service later.