84% of marketers use AI in their video work. The entire AI video generation market is ~$900M. The gap is the whole story. 90% of those marketers say the non-negotiable is editing what the model gives back. Everyone priced inference. Nobody priced that.

Wan 3.0 is now live on Comfy! It generates what earlier versions couldn't: a full 30-second scene in one take, as low as 480p for speed and iteration, and up to 1080p for production quality. Click the link below to try it today 👇

Six frontier models hit our partner nodes this month. Hard-wire to one vendor and you rebuild every quarter. We bet on the opposite. Build the graph, swap the models underneath it. A workflow in a JSON file outlives every model inside it. That bet: → 4M+ users, 50K downloads a day → 62K GitHub stars → 106K by March → NVIDIA shipped NVFP4 support with us at GDC: 2.5x faster generation, 60% less VRAM on RTX 50-series → Silverside AI built SVEDKA's Super Bowl spot - the first primarily AI-generated Super Bowl ad on ComfyUI → Magnopus published its architecture for running ComfyUI on shared production infrastructure → "ComfyUI artist" is now a job title on studio postings Recruiters are a lagging indicator. When they move, the argument is over.

Comfy MCP is now local and open-source! The #1# ask after Comfy Cloud MCP shipped in June. Your agent sees your actual install. So every node, custom nodes included, and every model on disk. It fetches files, starts your instance, gets a workflow to the point where it runs. It is now the easiest way to help with your local Minimax H3 workflows! Cloud MCP still does everything it did. Tell your agent where a job goes, or let it decide.

Coca-Cola and OpenAI both raised their US billboard spend by $2M+ last quarter. So did Pepsi, Uber, eBay, and Capital One. $2.12B quarter, twentieth straight of growth. The step that hasn't kept pace is showing a client what actually goes up. Every campaign on that list had to be comped first: artwork mocked onto a highway sign, a shelter panel, the side of a building, so someone could see it in place before committing budget. When that step is expensive, only the concepts a team is already confident in get shown. The rest aren't rejected. They're never presented. We published a workflow this week that takes one poster and returns three placements in a single run, each with its own scene prompt, under one shared control for time of day and lighting. The parallelism is the part worth noting. Holding one variable constant across three branches while the others differ isn't something a model gives you. It's a property of the pipeline.

The prompt box was never the product. It was the demo. It holds up until you need it twice. Until you need a specific checkpoint, a control signal, a step inserted between two other steps. A graph is just the pipeline with the lid off. That's why the same canvas runs image, video, audio, 3D, etc. A graph doesn't care what's flowing through it. Closed products rebuild every time the frontier moves. We add a node. Module 1 of the @ComfyUI beginner series is live.

Amazon Studios is hiring a Gen AI / VFX Coordinator in Culver City. The job req names seven tools. Six are closed APIs. @ComfyUI is the only one you run yourself. Listed under required qualifications, and again under preferred, where they ask for direct experience creating visual content with it. That's not a studio testing whether this works. That's a studio building the compliance layer you only build once you've decided it's permanent.

ComfyUI Tutorial for Beginners: Full Node Graph Basics It's a production-grade generation backend with an adaptable front end and Module 1 is where the node graph stops being intimidating. We boot up Comfy Cloud, tour the full UI, and build your first workflow from the ground up. What you'll learn: → Comfy Cloud vs. Desktop - which to use and when → Navigating the graph: pan, zoom, frame, select → The 5 core nodes behind every text-to-image workflow → Checkpoints, LoRAs, VAEs, CLIP - matching model versions → Get/Set nodes + reroutes to kill the spaghetti → Subgraphs: complex workflows collapsed into one node → App Mode: a front end for non-technical collaborators → Templates vs. Blueprints vs. Workflows → The 7 node categories that make the whole library click No installs. No missing models. Open it and generate.

.@ComfyUI builds for people who want to own their pipeline end to end. No waiting on a roadmap. No renting access by the call. Just a graph you wire yourself and control you keep. That's the belief driving how ComfyUI works with LTX. Our models stay open, so Comfy's graph updates as they evolve, and builders never lose control of their own workflow.