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Comfy builds a node-based platform called ComfyUI for creating generative AI content. It lets users design AI pipelines as graphs on their own computer, giving precise control over models and steps for images, video, audio, and 3D assets. It stands out by fostering a large open-source ecosystem of custom nodes and offering a freemium model with services like Comfy Cloud and API access inside the interface, while running entirely locally. Its goal is to help individual creators and enterprises build flexible, scalable AI workflows without being locked into a single vendor and to expand cloud and enterprise features over time.
Industries
Data & Analytics
Consumer Software
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Early VC
Total Funding
$40M
Headquarters
null
Founded
2023
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Total Funding
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LTX-2.5 lands open weights with native multi-shot - and it's actually fast. LTX (Lightricks' open-weights spinoff) released LTX-2.5 today with native multi-shot video generation, day-one ComfyUI integration, and a 6.8-second 720p clip on dual GB200. The fastest practical video model for indie builders just got meaningfully better. TL;DR: LTX released LTX-2.5 today - an open-weights video model that generates a 10-second 720p clip in 6.8 seconds on dual GB200s, ships native multi-shot generation, and integrates into ComfyUI on day one. It's the fastest practical video model available to indie builders, and the licensing terms (free under $10M ARR) make it immediately usable for most studios. LTX-2.5 is not the biggest name in AI video. It's not trying to be. The model comes from LTX, the open-world-model spinoff of Lightricks - a Jerusalem-based company better known for Facetune and Videoleap. Lightricks has been bootstrapped and profitable since the consumer-app days, which means LTX's incentive structure is different from the VC-fueled frontier labs. CEO Zeev Farbman is blunt about it: "We're definitely not doing this as philanthropy." The strategy is open weights with a revenue gate - free under $10M ARR, paid above. Today's release lands that strategy on the strongest technical ground yet. Key takeaways. * LTX-2.5 generates a 10-second 720p clip in 6.8 seconds on dual NVIDIA GB200 - fastest practical video model available * Native multi-shot generation solves character and scene consistency across cuts in a single pass * Day-one ComfyUI integration plus open weights under Hugging Face give indie builders immediate access What's new in LTX-2.5. The headline number is speed: LTX says a 10-second 720p image-to-video clip takes 6.8 seconds on dual NVIDIA GB200 hardware. That's faster than real time. The LTX API tier produces 1080p in 23.7 seconds - still faster than competitors on the same task. LTX's own benchmarks put Google's Gemini Omni Flash at 52 seconds for the same job, Veo 3.1 at 70 seconds for an 8-second clip, and MiniMax-H3 at 180 seconds. Treat these as vendor-reported; the same caveat applies to LTX's 67% win rate in blind preference tests, which the company itself labels preliminary. The technically more interesting feature is native multi-shot. A single generation produces multiple connected shots, with character, scene, lighting, visual style, and voice held consistent across cuts. This is the problem that has plagued every earlier T2V/I2V model - you could generate a single beautiful shot, but stitching shots together broke identity. LTX-2.5 generates the whole sequence in one pass. Other notable changes: * A new diffusion video decoder that reduces artifacts in high-motion footage and reconstructs fine detail like text and faces * A custom Gemma 4 language backbone with prompt enhancement for multi-subject scenes * A pretrained checkpoint tuned for physical AI and robotics - a base for teams to fine-tune on domain data that looks nothing like cinematic video * A substantially improved distilled model that delivers near-full quality at lower cost, optimized for NVIDIA RTX GPUs What this means for builders. The combination that matters: open weights + day-one ComfyUI integration + multi-shot + speed. Indie builders, game studios, and prototype teams can pull the weights today and run them locally on any GPU with at least 16GB of VRAM. The model supports text-to-video, image-to-video, and audio-to-video in both portrait and landscape. Two variants are available. ltx-2-5-fast tops out at 4K with 24/25/48/50 FPS support, optimized for speed and lower cost. ltx-2-5-pro caps at 1080p but is tuned for higher fidelity. Both support the automatic duration mode - send "duration": null and the model picks clip length from the prompt itself. The revenue gate is the part to watch. Most studios and indie teams fall under $10M ARR - they get free use. Larger companies negotiate a license. The gate means LTX can grow with its users without chasing VC returns, and it means builders can ship product without license anxiety in the early years. The competitive landscape is now structurally clearer. Closed API leaders (Veo, Kling, Gemini Omni Flash) are still ahead on raw benchmark scores, but open-weights alternatives are no longer a generation behind. For anyone who needs on-prem deployment, data control, or fine-tuning access, LTX-2.5 is now the default starting point. The take. LTX isn't chasing AGI or frontier-model rankings. They're shipping a video model that builders can actually deploy today, with the licensing structure to make it sustainable. The multi-shot feature alone is worth the upgrade for anyone doing narrative work. The speed numbers will hold up; the preference-test win rates are less certain. For most indie builders and studios, this is the model to start with. The closed-API alternatives only win when you specifically need their distribution, brand safety, or a feature LTX-2.5 hasn't shipped yet. Sources. Get the next briefing. Signal-first AI briefings, weekday mornings. One concise briefing with three signals, why they matter, and one action to take. Free. No spam. Unsubscribe anytime. · Weekday mornings.
Seedream 5.0 Pro now available in ComfyUI. ByteDance's latest image model is now available in ComfyUI via Partner Nodes, with stronger editing, character consistency, and multilingual layout support. Jul 08, 2026 Comfy is excited to announce that Seedream 5.0 Pro, ByteDance's latest image-generation model, is now available in ComfyUI via Partner Nodes. It brings stronger editing precision, improved character and product consistency, better small-text rendering, and stronger support for posters, infographics, and multilingual layouts. Model highlights. * Multi-modal: Text-to-image, image editing, and multi-image inputs in one model. * Character consistency: Preserve portrait identity, lighting, and realism across style changes and edits. * Product consistency: Keep product features and colors stable across scene changes and variations. * Precision editing: Target specific regions for edits while leaving lighting, depth, and texture elsewhere untouched. * Structured layouts: Generate infographics, flowcharts, and mixed text-and-image compositions with legible small text. * Multilingual text: Render accurate in-image text across 14 languages, including Arabic, English, Japanese, Korean, Russian, and Thai. Examples. A sci-fi cyberpunk graphic design poster. In the center, a striking portrait of a female android with glossy, liquid chrome skin. A vivid swirling streak of neon orange, yellow, and pink liquid paint brush stroke horizontally covers her eyes, soft smudged color overlay with smooth flowing pigment texture, no cracks or broken facial surfaces. The background is a dark, textured charcoal gray. Behind the central figure, large bold white futuristic typography reads "Seedream 5.0 Pro" with a subtle digital glitch and halftone texture. The composition is decorated with technical HUD elements, thin white lines, geometric wireframe diagrams, barcodes, and small sci-fi text boxes. Semi-transparent glassy spheres with grid textures overlap the foreground, creating depth. The overall mood is high-tech, dystopian, and avant-garde. An editorial graphic design poster on a solid black background. The central elements are exquisite, translucent 3D glass flowers with iridescent, holographic petals in shades of electric blue, violet, and soft purple. In the background, large, bold white sans-serif typography reads "Seedream 5.0 Pro", elegantly layered behind and interwoven with the glass petals. The layout is filled with clean blocks of small white placeholder body text and delicate thin white vector lines, creating a futuristic, tech-organic informational poster. High-contrast, sharp details, refractive glass textures, glossy finish, professional UI/UX design aesthetic. Change the indoor lighting to nighttime, with the indoor environment illuminated by indoor lights. Convert the entire collage into a cohesive, realistic interior design photo of a cozy living room. Render the sketched bay window area on the left into a real window filled with potted plants, including Swiss cheese plants and a fiddle-leaf fig, with a lush forest view outside. Transform the sketched snake plant in the bottom-left into a real potted snake plant. Blend the elements seamlessly under warm, natural afternoon sunlight. Get started in ComfyUI. * Update ComfyUI to 0.27.1 (Comfy Cloud will be ready soon) * Open the Template Library and search for Seedream 5.0 Pro, or add the Seedream Partner Node to your workflow. * Connect your prompt, optional reference image, and aspect ratio settings, then run. As always, enjoy creating!
Building the AI creation engine for visual professionals
ComfyUI raises $30M at $500M valuation: open source wins. 42 minutes ago 0 ComfyUI raises 0M at 00M valuation ComfyUI announced yesterday a $30 million Series A round at a $500 million valuation, led by Craft Ventures. The open-source AI workflow tool has hit 4 million users and 150,000 daily downloads - scale that challenges the assumption that only simple, prompt-based AI tools can reach mass adoption. The funding, bringing total capital to $47 million, validates a bet most VCs wouldn't make: that professional creators will choose complexity and control over the convenience of tools like Midjourney or DALL-E. That's the counterintuitive part. ComfyUI isn't winning because it's easier to use. It's winning because it gives professionals something they can't get from a prompt box: reproducible workflows, precise control, and the ability to compose AI models like Lego blocks. And now it has the capital to turn that advantage into infrastructure. First ai-generated Super Bowl ad proves production viability. The clearest signal that ComfyUI has moved beyond hobbyist experiments came during Super Bowl 60. Silverside AI used ComfyUI workflows to produce SVEDKA's 30-second commercial "Shake Your Bots Off" - the first primarily AI-generated Super Bowl ad. That's a $7 million media buy riding on an open-source tool that most developers haven't heard of. However, the creative team didn't choose ComfyUI because it was fast. They chose it because it was precise. When you're spending seven figures on airtime, "good enough" AI outputs don't cut it. You need workflows you can iterate, reproduce, and control down to individual model parameters. Midjourney's "opinionated" AI that rearranges elements for better composition? That's a non-starter for professional production work where brand guidelines and creative direction aren't negotiable. This isn't experimental AI art. It's mission-critical creative infrastructure running at Super Bowl scale. And it's why "ComfyUI artist" is now an actual job title at creative studios. The numbers validate open source at scale. The funding metrics tell a story that shouldn't work. ComfyUI is free. It's open source. It has no vendor lock-in. Yet VCs just valued it at half a billion dollars. Moreover, the user data explains why. Four million users have adopted a tool with a steep learning curve - node-based workflows that look more like Unreal Engine's Blueprints than a simple AI prompt box. The community has contributed 60,000+ custom nodes, creating an ecosystem that compounds faster than any proprietary feature roadmap could match. Furthermore, sixty-five percent of Stable Diffusion users prefer ComfyUI over alternatives. Thirty percent of professional AI artists use it in production. Founder Yannik Marek framed the funding around a clear mission in ComfyUI's official announcement: "With this funding we can make sure open source wins...we want to live in a world where the best tool is open source." The 60,000 community-built nodes are the proof of concept. When your ecosystem grows faster than closed platforms can ship features, you're not competing on the same terms anymore. Professional control beats consumer convenience. The market is bifurcating, and the funding makes that split explicit. Midjourney optimizes for consumer workflows: type a prompt, get beautiful results, move on. In contrast, ComfyUI optimizes for professional workflows: build a pipeline, save it as JSON, run it 10,000 times with consistent results. The cost comparison makes the trade-off concrete. At scale, ComfyUI costs roughly $2 per month in electricity to generate what Midjourney charges $60/month for. That's the difference between local compute you control and SaaS subscriptions you rent. For studios generating thousands of assets monthly, the economics aren't even close. Nevertheless, cost isn't the real differentiator. Control is. Midjourney is an "artist" that interprets your intent and makes aesthetic decisions for you. ComfyUI is a "technician" that executes exact specifications without creative liberties. When Black Math builds modular design systems for enterprise clients, they need the technician. Reproducibility, versioning, and integration into existing pipelines matter more than getting 80% of the way there with less effort. Funding targets enterprise infrastructure. The $30 million isn't going toward making ComfyUI simpler. Instead, it's going toward making it scalable for teams. The five investment priorities are enterprise plays: Comfy Cloud for hosted compute, collaborative features for team workflows, ecosystem stability for production reliability, and day-one model support for competitive differentiation. That's the monetization path skeptics have been asking about. Open source product, SaaS distribution. GitHub's playbook. The free, self-hosted version stays free. Teams that want managed infrastructure, collaboration tools, and enterprise support pay for Comfy Cloud. It's not a novel business model - it's just rare to see it work in consumer-facing creative tools. Craft Ventures has pattern recognition here. The firm's portfolio includes Slack (freemium B2B infrastructure) and Airbnb (marketplace that scaled against entrenched competitors). Consequently, David Sacks betting on B2B open-source AI infrastructure isn't a contrarian bet - it's following a playbook that's worked before. The $500 million valuation reflects Craft's thesis that professional creative AI is infrastructure, not a consumer app. The funding validates what the Super Bowl ad already proved: ComfyUI isn't competing with Midjourney for consumer mindshare. It's building the infrastructure layer for professional creative AI. Four million users and 60,000 community nodes suggest that bet is working. The $30 million is capital to scale it. I am a playful and cute mascot inspired by computer programming. I have a rectangular body with a smiling face and buttons for eyes. My mission is to cover latest tech news, controversies, and summarizing them into byte-sized and easily digestible information.
ComfyUI raised $30M at a $500M valuation. The startup gives creators granular control over image, video, and audio outputs from diffusion models with a node-based workflow.
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Industries
Data & Analytics
Consumer Software
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Early VC
Total Funding
$40M
Headquarters
null
Founded
2023
Find jobs on Simplify and start your career today