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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. ⬇️show more

ComfyUI

59,695 subscribers

7,420,417 Aufrufe • vor 3 Tagen •via X (Twitter)

Bildung Gesundheit & Wellness Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

34 Kommentare

Profilbild von ComfyUI

ComfyUIvor 3 Tagen

Get Your API Key today:

Profilbild von ComfyUI

ComfyUIvor 3 Tagen

Learn more with the blog:

Profilbild von Robin Huang

Robin Huangvor 3 Tagen

Great work team!!

Profilbild von Yoland Yan

Yoland Yanvor 3 Tagen

LFG!

Profilbild von Maximus

Maximusvor 3 Tagen

Finally

Profilbild von Tara Ding

Tara Dingvor 3 Tagen

Congratulations!!!

Profilbild von Bohan

Bohanvor 3 Tagen

Sick!

Profilbild von TongTong C

TongTong Cvor 3 Tagen

🔥🔥🔥

Profilbild von Atul Kumar

Atul Kumarvor 3 Tagen

The biggest win here is consistency. One workflow across image, video, 3D, and audio means teams can focus on building products instead of maintaining integrations.

Profilbild von Ethan Kurzweil

Ethan Kurzweilvor 3 Tagen

Sweet! 🎡

Profilbild von mathurah

mathurahvor 3 Tagen

ahh this is going to be such a game changer! congrats to the team on the launch :)

Profilbild von Carl Wheatley

Carl Wheatleyvor 3 Tagen

Great launch!!!

Profilbild von Will Phillips

Will Phillipsvor 3 Tagen

Epic! Feel like Router is the word of the quarter 🚀

Profilbild von TongTong C

TongTong Cvor 3 Tagen

finally

Profilbild von Shun Ito

Shun Itovor 3 Tagen

congrats for the launch!!

Profilbild von Grace

Gracevor 3 Tagen

This is a major upgrade LFG!

Profilbild von Sponko

Sponkovor 3 Tagen

😮‍💨

Profilbild von Aaliya

Aaliyavor 3 Tagen

The “finding out who did it” line fits nicely with the Beast Mode theme while keeping the CX message clear.

Profilbild von Olivia Li

Olivia Livor 3 Tagen

Let’s go!!

Profilbild von Orestis Lykos

Orestis Lykosvor 3 Tagen

fal all the way down!

Profilbild von Rob Muresan

Rob Muresanvor 3 Tagen

DAMN!

Profilbild von rob - comfyui

rob - comfyuivor 3 Tagen

Very important things happening

Profilbild von Hasanuzzaman Khan

Hasanuzzaman Khanvor 3 Tagen

Batch workflows are going to save teams a surprising amount of time.

Profilbild von Ian Lim

Ian Limvor 3 Tagen

Huge 🔥

Profilbild von Annette Sung

Annette Sungvor 3 Tagen

lit

Profilbild von Ashley Nicole

Ashley Nicolevor 3 Tagen

AI tooling is maturing—observability is finally becoming part of the conversation.

Profilbild von Arish Ai

Arish Aivor 3 Tagen

The multimodal ecosystem is getting crowded—having one workflow across providers makes a lot of sense.

Profilbild von David Kwon

David Kwonvor 3 Tagen

Let's go! Great job @yoland_yan and team

Profilbild von David Marco💡

David Marco💡vor 3 Tagen

Less glue code. More building. That's the kind of tradeoff every engineering team wants.

Profilbild von Tiger

Tigervor 3 Tagen

Hyped!

Profilbild von AlphaEcho

AlphaEchovor 3 Tagen

This is the kind of infrastructure launch developers actually appreciate less integration work, more shipping.

Profilbild von joao fig

joao figvor 3 Tagen

@yoland_yan killing it 🔥

Profilbild von Arnez Ai

Arnez Aivor 3 Tagen

Production-ready details like request IDs and retries are what make platforms stick.

Profilbild von Alishba

Alishbavor 3 Tagen

This feels like infrastructure built for builders, not just demos.

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Monitor and control your AI spend on every provider on Our early users save 40% on average. Every week, the price-intelligence-latency frontier shifts, and we expect this trend to continue. Tradeoffs between latency, reasoning, cost, service tier, open source and closed source models are shifting constantly. Router sends every request to the model that's actually best for the task and helps you control what tokens you buy. We benchmark it against real work: ~40% lower cost for the same outputs. Today we're opening it to everyone. Two lines of code or just change your base URL. No Ramp account needed. Free through 2026, first $26 on us. Get an API key today at

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$35 in free Claude Opus 5 API credits for a week. Point it at Codex, OpenCode, Cursor, or literally any tool that takes a custom API endpoint. It's called Aerolink. Sign up with Google, a free trial activates automatically - no card, no manual claim. Setup for OpenCode Desktop: → Register at aerolink(.)lat, sign in with Google → Create your API key → Open OpenCode Desktop, hit Ctrl+, → Add a custom provider: Id "aerolink", any display name → Base URL: capi.aerolink(.)lat/v1 → Paste your API key → Model id: claude-opus-5, any display name Once it's added, the key works the same way in any tool that accepts a custom OpenAI-compatible endpoint - not locked to OpenCode. Honest flag: this runs through a Chinese proxy, not an official Anthropic channel. Use at your own risk. $35/week value, one-week trial. Bookmark this before the trial terms change.

Atenov int.

12,200 Aufrufe • vor 1 Monat

Comfy Desktop is here - one app for every Comfy. We rebuilt the desktop experience from the ground up. Your existing workflows, custom nodes, models, and settings carry over untouched. Same name, completely new app. What's new: → Multiple ComfyUI instances — different custom nodes, different versions, all managed in one place → Automatic snapshots before every update and custom node change, with one-click rollback if something breaks → Day-0 ComfyUI releases — the moment a new version or nightly drops, you can update immediately If you're on our older desktop app, you'll see an update prompt automatically.

Comfy Desktop is here - one app for every Comfy. We rebuilt the desktop experience from the ground up. Your existing workflows, custom nodes, models, and settings carry over untouched. Same name, completely new app. What's new: → Multiple ComfyUI instances — different custom nodes, different versions, all managed in one place → Automatic snapshots before every update and custom node change, with one-click rollback if something breaks → Day-0 ComfyUI releases — the moment a new version or nightly drops, you can update immediately If you're on our older desktop app, you'll see an update prompt automatically.

ComfyUI

81,307 Aufrufe • vor 3 Monaten

NVIDIA IS HOSTING 100+ FRONTIER MODELS FOR FREE AND MOST PEOPLE STILL HAVEN'T NOTICED Everyone building agents is paying $50-200 a month for API access, and this key costs nothing and does not expire. I set it up and had GLM 5.2 answering in under five minutes. Getting the key: > Go to and register, phone verification and no card. > Copy the nvapi- key, you only see it once. Plugging it in anywhere that speaks OpenAI, including Cursor: > base_url = " > api_key = "nvapi-xxxxxxxxxxxx" What is sitting in the catalog: > GLM 5.2, landed two weeks after release. > Kimi K2.7, MiniMax M3, DeepSeek V4 Pro. > NVIDIA's own Nemotron line, and 100 more. The limit is around 40 requests a minute, which is plenty for one person and nothing for production -- that is the whole trade. It is also the fastest way to test which model actually fits your agent before you commit to a paid provider. Save & Try it ↓

NVIDIA IS HOSTING 100+ FRONTIER MODELS FOR FREE AND MOST PEOPLE STILL HAVEN'T NOTICED Everyone building agents is paying $50-200 a month for API access, and this key costs nothing and does not expire. I set it up and had GLM 5.2 answering in under five minutes. Getting the key: > Go to and register, phone verification and no card. > Copy the nvapi- key, you only see it once. Plugging it in anywhere that speaks OpenAI, including Cursor: > base_url = " > api_key = "nvapi-xxxxxxxxxxxx" What is sitting in the catalog: > GLM 5.2, landed two weeks after release. > Kimi K2.7, MiniMax M3, DeepSeek V4 Pro. > NVIDIA's own Nemotron line, and 100 more. The limit is around 40 requests a minute, which is plenty for one person and nothing for production -- that is the whole trade. It is also the fastest way to test which model actually fits your agent before you commit to a paid provider. Save & Try it ↓

slash1s

31,426 Aufrufe • vor 1 Monat

NVIDIA is giving away free access to 140+ AI models for a full year > most people building AI agents are paying $50-200/month for API access NVIDIA just made that argument irrelevant models you get: GLM 5.2, MiniMax M3, Nemotron-3-Ultra-550B-A55B, Kimi K2.7, and 130+ more setup: > step 1 - get your free key > go to > register -> bind phone -> copy API key > step 2 - add to Hermes agent > open Settings -> Model Provider -> Custom base_url = " api_key = "nvapi-xxxxxxxxxxxxxxxxxxxx" > step 3 - pick a model model = "z-ai/glm-5.2" model = "minimaxai/minimax-m3" model = "nvidia/nemotron-3-ultra-550b-a55b" model = "moonshot-ai/kimi-k2.7" > Hermes already has NVIDIA set as default base_url > paste the key and you're running instantly > works the same in Cursor and OpenCode > cost: $0 > limit: 40 req/min > expires: 1 year while everyone is paying for API access, this is sitting there for free with this many models in one place, it is also the easiest way to test which one actually fits your agent before you commit to a paid provider

NVIDIA is giving away free access to 140+ AI models for a full year > most people building AI agents are paying $50-200/month for API access NVIDIA just made that argument irrelevant models you get: GLM 5.2, MiniMax M3, Nemotron-3-Ultra-550B-A55B, Kimi K2.7, and 130+ more setup: > step 1 - get your free key > go to > register -> bind phone -> copy API key > step 2 - add to Hermes agent > open Settings -> Model Provider -> Custom base_url = " api_key = "nvapi-xxxxxxxxxxxxxxxxxxxx" > step 3 - pick a model model = "z-ai/glm-5.2" model = "minimaxai/minimax-m3" model = "nvidia/nemotron-3-ultra-550b-a55b" model = "moonshot-ai/kimi-k2.7" > Hermes already has NVIDIA set as default base_url > paste the key and you're running instantly > works the same in Cursor and OpenCode > cost: $0 > limit: 40 req/min > expires: 1 year while everyone is paying for API access, this is sitting there for free with this many models in one place, it is also the easiest way to test which one actually fits your agent before you commit to a paid provider

Mr. Buzzoni

121,850 Aufrufe • vor 2 Monaten

Production traffic is not uniform. You get a few requests that need your best model, but most are simple questions and lookups you can solve with cheaper, faster models. The most expensive mistake you can make today is sending every request to your strongest model. You need routing. Period. This is the simplest trick to improve the architecture of whatever you are building. Please, don't implement routing yourself. You don't have to. I'm currently working with TrueFoundry's Auto Routing. It reads each request, classifies it as simple, medium, or complex, and sends it to the model assigned to that tier. You have two choices: 1. Send every request to the free heuristic classifier to score signals such as technical vocabulary, code, prompt length, and multi-step reasoning. 2. Send the request to an LLM classifier when its difficulty requires a more nuanced judgment. The beauty of using routing is that nothing changes in your code. You still call a single endpoint model, but routing works behind the scenes to pair every request with the best possible model. TrueFoundry ran several experiments with two different setups: 1. Send every request to Claude Opus 2. Send every request to a router with Haiku, Sonnet, and Opus The first experiment ran 550 deterministically graded academic prompts through every setup. Auto Routing was 69% cheaper while retaining 98% of the baseline quality. The second experiment ran three production-shaped workloads through every setup, using user chats, developer chats, and long agent tasks. Auto Routing was 80% cheaper. Thanks to the TrueFoundry team for partnering with me on this post.

Production traffic is not uniform. You get a few requests that need your best model, but most are simple questions and lookups you can solve with cheaper, faster models. The most expensive mistake you can make today is sending every request to your strongest model. You need routing. Period. This is the simplest trick to improve the architecture of whatever you are building. Please, don't implement routing yourself. You don't have to. I'm currently working with TrueFoundry's Auto Routing. It reads each request, classifies it as simple, medium, or complex, and sends it to the model assigned to that tier. You have two choices: 1. Send every request to the free heuristic classifier to score signals such as technical vocabulary, code, prompt length, and multi-step reasoning. 2. Send the request to an LLM classifier when its difficulty requires a more nuanced judgment. The beauty of using routing is that nothing changes in your code. You still call a single endpoint model, but routing works behind the scenes to pair every request with the best possible model. TrueFoundry ran several experiments with two different setups: 1. Send every request to Claude Opus 2. Send every request to a router with Haiku, Sonnet, and Opus The first experiment ran 550 deterministically graded academic prompts through every setup. Auto Routing was 69% cheaper while retaining 98% of the baseline quality. The second experiment ran three production-shaped workloads through every setup, using user chats, developer chats, and long agent tasks. Auto Routing was 80% cheaper. Thanks to the TrueFoundry team for partnering with me on this post.

Santiago

15,543 Aufrufe • vor 15 Tagen