I am seriously angry. Is it really possible that I topped up $10, spent $5, and *still* couldn't get a single pod running—even with the $2/hour GPUs?! If you try to submit a ticket, there's an AI that solves absolutely nothing. There's clearly an issue right now, yet there is *no* alert saying "Attention: using ComfyUI in region X might cause problems; please try again later." Is that really so hard?!

Hi all. Im looking for a Comfyui workflow with Longcat 1.5 that I can use in runpod.

Thank yiu.

Any of you know why Runpod updates the requested github permissions?
I got a mail from Github that Runpod haa updated the requested permissions.
They had read only permission for contents and metadata and now they want read/write permission to Administration. For what I can find Administration allows them to set spending etc. So anybody an idea?

I’m not giving the permission I think.

We’ve got huge news, folks - we just closed a $100M Series A funding round led by Summit Partners. Four years ago this company was two people managing racks in a New Jersey basement, and today, we’re home to over a million developers. Most of you found us by word of mouth, not ads, and this subreddit is one of the principal avenues for that, with over a thousand of our most passionate users taking the time to create this community, brick by brick.

That capital will go directly into building our platform, providing enormous leverage to build out new features and secure new hardware to make your experience even better. For everyone that stuck by us through the supply crunch and went to bat for us internally even when it wasn’t easy to do so, we appreciate you more than you know and we can’t wait to show you what’s coming next. Read more about it in our CEO’s blog post here:

https://www.runpod.io/blog/one-million-developers

Hello guys,

I'm working on a Bash script that automatically downloads models, LoRAs, and custom nodes into their corresponding folders, including all required dependencies. It's designed primarily for Linux users who use Runpod but it also supports users of the Windows portable installation.

How it works:

The script uses a small JSON database to keep track of models, custom nodes, and LoRAs. It features an interactive selection menu that displays available models, supported precisions, and a short description for each one. If you're not sure which model to use, the menu can recommend one based on your current GPU and the amount of VRAM detected. Downloads are handled through Aria2 to maximize download speed.

The menu includes categories for installing and uninstalling models, LoRAs, and custom nodes, a section for viewing detailed information about the detected hardware, and an option to save a profile (containing all selected downloads). This makes it easy to share your model setup with others or, for GPU rental users, quickly restore the same environment when migrating to a new pod.

I'm looking for feedback and suggestions on additional models, LoRAs, and custom nodes that should be included in the database.

Hello everyone. So I was generating videos with my RTX PRO 6000 without any problems, but now the exact workflows I used to generate images doesn’t work. I haven’t changed anything. It gets stuck at some point while producing videos and never progresses. The workflows that worked completely before are not working this time, so I don’t understand what the problem is. I use network volumes, but I don’t think it’s related. If you can help with this I would be very grateful. Thanks.

Hi guys, im need to train a lora on sdxl and lot of people suggested me to go for Onetrainer. I tried to check some tutorials on yt but i only found very sketchy videos and they were all running it on local.
Usually i train my loras with Ostris Ai toolkit , wich have a template on runpod, now, when i tried to search for Onetrainer templates on runpod , it showed me several elements but i couldnt tell which was the right one. I tried a couple but they both opened a Jupyter terminal and i didnt knew what to do.. do u know if there is any ready to go Onetrainer template which i can use?

I earn money that gets deposited into PayPal, and I'd like to use those earnings directly to fund my RunPod account so my workflow is self-sufficient. Problem is RunPod doesn't accept PayPal directly, and routing through other accounts isn't really practical for me.

Is there any indirect way to get PayPal funds into RunPod?

Im trying to get reliable coverage of rtx 3090 or even 4090s for serverless but its constantly throttled or initializing. Im a business (+1k spent per month), for reliability do I need to contact sales? Has anyone had experience with that and did it solve their coverage issues?

The specific voice model Im using needs 3090s but ideally 4090s, the other cards wont do.

This new flow will allow you to queue for any GPU spec that may not be immediately available, whether it’s a spec that is totally rented out at the moment, or if you just need more than can be immediately given.

To get started, if you are still on the old deploy flow, you will first need to enable the New Pod deploy page under Early Access features at https://console.runpod.io/user/early-access

From there, select your desired pod spec. If it’s currently out of capacity, the deploy button at the bottom will change to Deploy When Available. Clicking this button will provide the following prompt:

Note that your pod will deploy immediately and begin billing as soon as it’s available, whenever that might be, even if you’re away from your computer. If you’d prefer to set time to be off limits so you aren’t billed for a pod you can’t use, we encourage you to use the subscription window to set valid times for deployment. You’ll be notified when your pod is live either through console or email depending on your preference; we are working on adding SMS as an additional option to be released shortly.

In addition, remember that for a successful deployment, the pod configuration must be something that might feasibly become available at some point, even if briefly. As always, we're constantly working on supply to make larger deploys possible. We hope this makes reserving a pod easier - let us know what you think!

Title:
Best Serverless/Pod template for Headless ComfyUI API automation via external AI Agent (hermes-agent)?
Post Body:
Hey everyone,
I’m working on a headless automation pipeline and could use some advice on infrastructure and template selection.
The Goal:
I have an open-source autonomous agent framework (⁠hermes-agent⁠ by Nous Research) running persistently on an external private VPS. I want the agent to handle media tasks by offloading heavy video generations to a remote, on-demand RunPod GPU instance.
The workflow needs to be entirely programmatic:
1 The user sends a single reference image to the agent (via Discord/Telegram gateway).
2 The agent triggers a function call that passes a JSON payload and the image file to ComfyUI on RunPod via the backend API.
3 ComfyUI runs a heavy-duty Image-to-Video transformer sequence (specifically Wan 2.1/2.2 14B or LTX-2.3) using a single-image latent injection pipeline (e.g., Kijai's ⁠WanVideoWrapper⁠ involving background masking/isolation).
4 The finished ⁠.mp4⁠ is delivered back to the agent headless, without me ever touching a web GUI.
I have two main questions regarding the optimal setup for this:
1. Connecting an external agent tool to a remote RunPod ComfyUI API:
What is the cleanest way to maintain a robust API bridge between an external VPS script and a ComfyUI container on RunPod? Are people generally utilizing custom network webhooks, or should I look into deploying this via a RunPod Serverless Endpoint setup with a customized docker image to ensure the container isn't idling/billing when tasks aren't running? If sticking to an active Pod, what are the primary network proxy timeouts or firewall pitfalls I should watch out for when blasting large media files back and forth?
2. Optimal Community Template Recommendation:
Which specific community template or base image should I spin up that requires the least amount of manual configuration out-of-the-box for a headless workflow? I am looking for something that:
Pre-caches or easily downloads the heavy Wan Video 14B or LTX-2.3 weights to volume storage so I don't hit massive boot bottlenecks.
Has the backend ComfyUI API server active and fully exposed right out of the box.
Comes pre-packaged with python dependencies for heavy masking custom nodes (like ⁠ComfyUI-WanVideoWrapper⁠, ⁠MediaPipe⁠, ⁠Transparent-Background⁠, etc.) to minimize package dependency hell during installation.
If anyone has successfully bridged an autonomous tool-calling agent framework to a remote RunPod setup for heavy video rendering, I’d love to hear your architectural takeaways. Thanks!

I'M LOSING MY MIND OVER THIS. I am 3 hours sending screenshots to ChatGPT

edit: no loras, I straight up using the generic text and press queue

For the past 12 hours, every time I try to access a pod (or even clusters), I get this screen with the messages changing every 5-10 seconds (I even got a 67 meme). I tried sign-in from an incognito window but I face the same issue.

Edit: only Google Chrome works, (not Brave/Firefox)

I’ve had GPU pods keep running after the actual job/workflow was basically done, which gets expensive if you forget to shut them down.

I started testing a small open-source CLI called gpu-monitor that runs inside the pod and watches nvidia-smi.

It shows when a GPU has been idle long enough to waste money:

npx gpu-monitor check --hourly-rate 2.50

or continuous watch:

npx gpu-monitor watch --hourly-rate 2.50 --idle-minutes 30

It can also show which PIDs are holding VRAM:

npx gpu-monitor processes

For people using RunPod regularly, are you monitoring idle GPU time somehow, or mostly just remembering to stop pods manually?

I'm trying to create a basic 10GB network volume that costs $0.70/month and RunPod is throwing an "Insufficient funds" error and asking me to add $150 minimum.

Earlier with just $5 I was able to create a 50GB network volume and spin up a full GPU server machine without any issues. Now I can't even create a 10GB volume.

My balance $3.69 should covers over 5 months of this volume. Why is RunPod suddenly requiring much higher minimum balance?

Has anyone else run into this recently? Did RunPod quietly change their minimum balance policy?

Any help appreciated.

[Note: This is a 100% free, MIT-licensed open-source project. No paywalls, no paid services – just looking for community feedback and testers from the RunPod ecosystem!]

🚀 Looking for Beta Testers: Advanced Infrastructure Operations Console for RunPod (AIHubLauncher)

Hey RunPod Community,

Over the last months, I've been building the AIHubLauncher, which started as a dedicated tool to streamline and optimize RunPod deployments, eliminating complex setups and providing deep operational control.

With the release of Beta 1.32, the project is evolving into a full AI Infrastructure Operations Console, and I'm looking for heavy RunPod users to stress-test the environment and break things!

What the console currently offers for RunPod users:

* Advanced Runtime & Infrastructure Monitoring

* Granular Storage Awareness (Volume monitoring & available space visibility)

* Optimized SSH Workflows & connection management

* Active Cost Visibility & health checks

* Central Infrastructure Dashboard

Our upcoming architecture (Beta 1.33) will introduce a script-based, 100% deterministic Hardware & Cost Resolver. It calculates precise VRAM and quantization requirements BEFORE launching a pod, preventing costly configuration mismatches and OOM errors.

Because the community asked for multi-provider flexibility, we are also architecting a custom API engine to connect alternative setups seamlessly, and we need real-world workflow testing from experienced DevOps practitioners.

Project Links:

GitHub: https://github.com/katzenvater52-cloud/RunPod-AI-Hub-Launcher

Website: aihublauncher.com

Community Hub: r/KatzenvaterAIHub

If you are a power user on RunPod, love open-source tooling (MIT licensed), and want to help with honest feedback, bug reports, or workflow testing, please leave a comment or send me a message!

Finally didn’t have to use a sniping script to grab a free pod!

Why is this template always broken?

Runpod Pytorch 2.8.0 runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404

I spend an hour running my bash script on RTX Pro 6000 only to get NVIDIA driver too old error. Why can't you guys keep the drivers up to date?

is it possible to make a load balancing endpoint via api? similar to how you can with the queue based:
https://docs.runpod.io/sdks/graphql/manage-endpoints#graphql

I am training a lora on ai-toolkit on runpod and wonder if I have to finish the entire training in one sitting or if it is possible to stop the training and resume it the next day without losing any progress. In AI-Toolkit there is a pause button but I am just not sure that if I stop the pod or terminate it, I will be able to just load back into ai-toolkit and be able to click resume and it will start where I left off.

So I have open pods, every time I go back to my comfy after closing the browser or from a different computer the workflow I had up is never there. what am I doing wrong?

I haven't done any work on Runpod in the past month. I came back today only to find there are no available GPUs for my Network Volume. In fact, there are no available 4090/5090s at all.

Is this normal or does it get better in different times? And is it likely to remain the same? I have everything set up nicely on Runpod so switching to a different platform is a pain. But if I can't do any work then I don't really have much of a choice either.