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High impactTechCrunch / Business Insider

ComfyUI completed $3000 million in Series B financing, valued at $5 billion: open source AI creation tools enter a new stage of commercialization

The open source AI creation tool ComfyUI completed $3000 million in Series B financing, with a valuation of $5 billion. The node-based workflow allows creators to precisely control AI-generated content, marking the professional transformation of AI creation tools from "one-click generation" to "precise controllability".

WayToClawEarn EditorialPublished Apr 25, 2026Updated Aug 8, 2026

Editorial review of public sources · AI-assisted drafting. How we work · Original source

Core conclusion

On April 24, 2026, the open source AI creation tool ComfyUI announced the completion of $3000 million in Series B financing, with a valuation of $5 billion (approximately 3.6 billion yuan). This round of financing was led by Craft, with participation from Pace Capital, Chemistry and others, bringing the company’s cumulative financing to $4800 million.

For content creators and AI monetization practitioners, the rise of ComfyUI is a clear signal: The market is shifting from "one-click generation" fool-like AI tools to "precisely controllable" professional creation platforms. The node-based workflow allows creators to combine different models, parameters and post-processing steps like building blocks, which is particularly important in business scenarios that pursue high-quality output.

Key Points

  • Time of incident: 2026-04-24
  • Financing round: Series B
  • Financing amount: $3000 million (approximately 220 million yuan)
  • $5
  • $4800
  • Lead investor: Craft

Background and trigger events

ComfyUI was born in early 2023, during the rise of diffusion models such as Stable Diffusion. At that time, the mainstream tools on the market (Midjourney, DALL-E) all adopted the "text-to-image" black box model - the user inputs prompts, the system returns the results, and the intermediate process is completely uncontrollable.

ComfyUI goes in the opposite direction and uses a node-based visual programming interface to allow creators to:

  1. Visually connect different model components (Text Encoder, UNet, VAE, etc.)
  2. Precisely control the parameters of each step (number of sampling steps, CFG value, seed)
  3. Combine multiple models to achieve complex workflow (Vensen diagram → Tusheng diagram → Zoom in → Repair)

This concept of “letting creators take control of everything” has attracted a large number of professional users—from AI artists to e-commerce product graphic designers, from game original painters to short video creators.

According to TechCrunch, ComfyUI’s rapid growth coincides with an explosion of creators’ demand for precise control over AI content. As the penetration rate of AI-generated content increases in commercial scenarios (e-commerce, advertising, film and television production), "almost usable" is no longer enough. Brands require that every frame accurately meets the requirements.

Key Impact (by Dimension)

DimensionsChangeWhat it means for creatorsSuggested actions
UsabilityFrom pure open source to commercially supported hybrid modelMore reliable for long-term useIncorporate ComfyUI into major AI authoring toolchains
Content qualityNode-based control goes far beyond "one-click generation"Produce differentiated contentIn-depth study of node workflow design
Monetization potentialConsistency between e-commerce product images/advertising materials/video framesStrong demand from commercial customersEstablishing ComfyUI workflow template library for external sale
Ecological expansion$5000 million funds to accelerate plug-in/model ecologyWider tool selectionPay attention to community expansion nodes and custom models

ComfyUI vs AI

FeaturesComfyUIMidjourneyDALL-E 3Stable Diffusion WebUI
Open Source✅ Fully Open Source❌ Closed Source❌ Closed Source✅ Open Source
Node Workflow✅ Core Features⚠️ Limited Support
Video generation✅ Community node⚠️ Extension
Workflow reuse✅ One-click import/export⚠️ Limited
Precise control✅ Extremely high⚠️ Medium❌ Low✅ High

AI

1.

The commercialization of ComfyUI marks a new stage of "professional-level" AI creation tools. This is a good time to build technical barriers for those who are comfortable using node workflows - most users still using Midjourney don't yet have this ability.

2.

Batch generation of e-commerce product images, multi-size adaptation of advertising materials, and brand visual consistency management—these scenarios require extremely high precision control, which is ComfyUI’s strength. You can expect a lot of “ComfyUI Workflow Templates” to appear as SaaS products.

3. +

ComfyUI proves that open source AI tools can also find a sustainable commercialization path: core open source attracts the developer ecosystem, paid cloud services/enterprise versions cover commercial users, and community-driven innovation feeds back product iterations.

Adaptation suggestions

AI

  • Get started with ComfyUI now and learn node workflow design (official documentation + YouTube tutorials are abundant)
  • Build your own workflow template library and consider selling it on the platform
  • Pay attention to the plug-ins and custom nodes of the ComfyUI ecosystem

If you are a content entrepreneur

  • Evaluate the feasibility of using ComfyUI for mass production of e-commerce product images/advertising materials
  • Use ComfyUI’s batch processing function to implement automated content pipelines
  • Combined with n8n or Python script to build an automated pipeline: ComfyUI generation → manual review → automatic release

If you are a developer

  • ComfyUI provides a complete API that can be integrated into your own products
  • Consider developing ComfyUI custom nodes as peripheral products
  • Pay attention to the development of ComfyUI in the direction of video generation (the community already has a video generation node)

Example: Use ComfyUI API to generate batch e-commerce product images

python
import requests
import json

# ComfyUI API
API_URL = "http://localhost:8188/prompt"

workflow = {
    "3": {
        "class_type": "KSampler",
        "inputs": {
            "seed": 42,
            "steps": 30,
            "cfg": 7.5,
            "sampler_name": "euler",
            "scheduler": "normal",
            "denoise": 1.0,
            "model": ["4", 0],
            "positive": ["6", 0],
            "negative": ["7", 0],
            "latent_image": ["5", 0]
        }
    },

# ...
}

response = requests.post(f"{API_URL}", json={
    "prompt": workflow
})
job_id = response.json()["prompt_id"]
print(f": {job_id}")

ComfyUI

()

AI OpenAIChatGPTMidjourneyn8nComfyUIStable Diffusion.

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