One photo in. One holo trading card out.
Card Forge reads your photo, writes your card, paints you as the hero, and builds a 3D glass card you can spin. Open weights only: Qwen3-VL, Qwen Image Edit and BiRefNet on @ComfyUI.
https://t.co/eqrpTjEKli
#OpenSourceHiggsfield
Comfy Agent is now available to everyone in Comfy Cloud.
It plans, builds, and fixes ComfyUI workflows right on your canvas.
We strongly believe creators shouldn’t choose between ambition and complexity. Comfy Agent is our answer. While it handles the technical part of Comfy, you can finally focus on visual craft!
- It builds while you edit. It sees the assets you see.
- Ask anything. Reference anything.
- Create your own skills, or use the public ones.
Agent in Comfy Desktop is coming soon in a few weeks.
Click the link below to try Comfy Agent today ⬇️
Comfy API is live
Point it at a workflow JSON and it handles the rest:
→ Resolves your custom nodes, models, LoRAs, and Python deps
→ Pins it all, ComfyUI version included, into a versioned Build
→ Cuts an immutable release, so what you test is what ships
→ Deploys as an autoscaling endpoint on RTX PRO 6000, H100, H200, or B200
Click the link below to deploy your first workflow and learn more with our blog ⬇️
Comfy Router is live
One API for frontier image, video, 3D, and audio models.
Same model string. Same arguments. No new SDK, no new key, no redeploy.
What Comfy Router gives you:
→ Explicit routing. You name the provider, we call that provider. It's down? The request fails there. No silent fallback.
→ Every job returns the provider that ran it. Log it, bill it, debug it.
→ Async. submit() returns a request ID immediately. The queue retries 429s and transient errors until a slot opens. subscribe() submits and polls to completion.
→ Batch-friendly. Queue a few hundred jobs, hold the IDs, pull results as they land. Nothing blocking on a 5-min video render.
→ 24h retention on inputs and outputs, then deleted.
→ Comfy credits. No sub, no Router fee.
Providers at launch: Comfy. Runware, Wavespeed, Fal, Higgsfield. Multi-provider where the model supports it.
Get Your API Key with the link below. ⬇️
Most AI investing happens downstream of the frontier: a capability emerges, a category gets named, and capital rushes in.
But by the time a category earns a clean box on a market map, the best builders have usually been living in the messy version for months.
Agents. Reasoning. RL environments. World models. AI for Science. Recursive self-improvement.
I call this frontier proximity: the ability to see what is becoming possible before it becomes consensus.
My frontier proximity ladder:
L0 Wrapper: uses today’s models.
L1 Reactor: reacts fast to releases, but roadmap is downstream.
L2 Anticipator: builds for where capabilities are going.
L3 Native: depends on a non-obvious frontier bet.
L4 Shaper: helps move the frontier itself.
The point is not that every company needs to train models.
Apps can have high frontier proximity if they understand what models will make possible next.
Infra can have high frontier proximity if it knows what future agents, multimodal systems, robotics stacks, or scientific workflows will need.
That is why we’re launching MoE Capital.
MoE stands for Mixture of Experts.
The idea is simple: build an AI fund around people closest to the frontier: frontier researchers, technical founders, AI-native builders, and seasoned operators.
We don’t want to be another AI fund with a newsletter-level understanding of the frontier.
We want to build the AI fund closest to the frontier.
More in The Information: https://t.co/CXWJAy34zi
We just raised $30M at a $500M valuation, bringing our total funding to $47M.
Led by @craft_ventures , with @PaceCap , @chemistry , TruArrow, and others.
But before anything else: this belongs to the community.
ComfyUI started as one developer and one open-source repo. No roadmap. No company. Just creators who wanted real control over how they built with AI.
That community is now:
→ 4 million users
→ 60,000+ community-built nodes
→ 150,000+ daily downloads
Every number traces back to people who built in the open, for anyone to use.
Here's where the funding goes:
→ Comfy Cloud: for teams and studios that need security and scale
→ Collaborative workflows: versioning and iteration built for how studios actually work
→ A better local experience: more seamless, more stable
→ Ecosystem reliability: making 60,000+ community nodes more dependable
→ Day-one model support: every major release, compatible at launch
We are not building a walled garden.
We are building open infrastructure, built to last.
Thank you genuinely,
The ComfyUI Team
Interviews are broken. resumes mislead.
We helped 100k+ people land jobs & scaled to $10M ARR. now we’re rebuilding hiring from scratch.
meet WorkTrial AI — where companies see the real work before they hire.
From hackers to studios, millions already build with ComfyUI.
Today, we’re taking it further: Comfy Cloud 🌩️
The full power of ComfyUI, now in your browser.
No installs. No limits. Just create.
Join private beta for free👇
@lovable and @boltdotnew have interesting implications for traditional design — the modern design process is focused on maximizing limited eng time, but new "AI prototyping" tools unlocks this bottleneck, and introduces a potential new starting point for sw development
It makes sense that @Figma could/would do something like this, but ultimately depends on if the sw development process treats Figma as an input or an output in a new AI-enabled process.