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ComfyUI hits $500M valuation as creators demand more AI control

▼ Summary

– ComfyUI, a startup offering a node-based workflow for controlling diffusion model outputs, raised $30 million in funding at a $500 million valuation, led by Craft Ventures.
– The project began in 2023 as an open-source tool to fix early diffusion model errors like adding extra fingers, providing granular control over generation.
– ComfyUI claims over 4 million users, with creative professionals using it for visual effects, animation, advertising, and industrial design.
– CEO Yoland Yan says prompt-based models only get 60–80% of results right, and ComfyUI’s node interface allows precise adjustments without overwriting good parts.
– ComfyUI faces competition from Weavy, which was acquired by Figma in 2024.

A startup built to give creative professionals more precise control over AI-generated content has secured a major new round of funding. ComfyUI, known for its node-based workflow that allows users to manage outputs from diffusion models for images, video, and audio, has raised $30 million at a $500 million valuation.

The investment round was led by Craft Ventures, with additional backing from Pace Capital, Chemistry, and TruArrow.

The company began as an open-source project in 2023, shortly after diffusion models first emerged. Back then, tools like Midjourney and OpenAI’s DALL-E were still unreliable, often producing obvious errors like extra fingers on hands. The founders of ComfyUI set out to solve this by building a modular framework that gives users granular control over each step of the generation process.

The tool quickly gained a loyal following among creative professionals, eventually evolving into a formal business. In late 2024, ComfyUI closed a $19 million Series A round led by investors including Chemistry Ventures, Cursor Capital, and Guillermo Rauch, founder of Vercel.

Even as today’s diffusion models have become far more accurate, the demand for precise, hands-on control has only increased. Yoland Yan, co-founder and CEO of ComfyUI, explained the limitations of simpler, prompt-based systems.

“If you think about your typical prompt-based solution, like Midjourney or ChatGPT, you ask for something, it gets only 60% to 80% there,” Yan told TechCrunch. “But to change that remaining 20%, you have to try this slot machine.”

He compared prompting a model to gambling, because asking for a small adjustment can produce a completely different result, potentially ruining parts that were already correct. ComfyUI’s node-based interface solves this by letting creators link specific components of the generation process, giving them full control over the final output.

“You cannot easily convey that message in the prompt box of a foundational model,” Yan said.

The approach has resonated widely. ComfyUI now claims over 4 million users, including professionals in visual effects, animation, advertising, and industrial design. The startup reports that its tool has become so essential for technical artists that job listings for “ComfyUI artist or engineer” are now common on studio boards.

Despite rapid improvements in video and image models, Yan believes a tool like ComfyUI will remain critical. “In the world where AI slop is going to be everywhere, the Comfy version of human-in-the-loop approach is going to win out most of the eyeballs in the end,” he said.

Among ComfyUI’s competitors is Weavy, a startup that was acquired by Figma last year.

(Source: TechCrunch)

Topics

startup funding 95% node-based workflows 92% diffusion models 90% ai content creation 88% human-in-the-loop 85% open source origins 83% creative professional tools 81% model limitations 79% prompt engineering challenges 77% funding rounds 75%