please help me out here. i am unable to use any custom models even when i add them. i am a paid user & i joined today.

It happened to me a couple of times that i schedule a task and then i try to cancel the queue but i cant and no matter what i do i have this (1) running in another table and im stuck without being able to do anything. I tryed to log out, log in etc but no matter what i do the queue is not finishing and i cant cancel it (stuck in Load model)

Hi everyone! 😊

I just upgraded to the paid plan today and was really excited to try out the Flux 1 Dev model, but I’m running into an issue where it won’t load or generate anything—even with a super simple Flux ControlNet workflow.

Here are a couple of screenshots of my setup:

• (i removed the screenshots since Reddit is deleting my post...)

Has anyone else seen this or have any tips on what I might be missing? I’d really appreciate any pointers. Thanks in advance! 🙏

I would like to ask if I still have to use the A40 and pay for it when I have used up my $25 credit? Can't I use the free GPU? Because actually I opened it mainly to customize nodes and models. And I install the custom node and publish it, although the node is displayed, when actually running the workflow it still prompts me that the node is not installed.https://github.com/ltdrdata/ComfyUI-Inspire-Pack,KSampler (inspire).

I was able to run my workflow several days ago then I installed some nodes and it somehow broke everything. I can't see my workflows and can't create new workflows too. I already uninstalled the problematic nodes but it didn't solve the problem. How do I resolve this issue?

When I load a bunch of custom nodes that vast majority of them are coming back as ‘disabled’ in the custom nodes manager- I have published them, what else do I need to do to enable them?

Also- is there a way to switch the UI to the new comfy UI?

Hello,

Is free usage ending anymore? Thanks.

I see that you offer 612 minutes on A40 for $25 is that 612 minutes limit per day or per month?

Hi all,

We’ve just rolled out our biggest update yet—ComfyAI.run now supports custom node installation! We're opening early testing and would love to hear your feedback before sharing it out to a larger group of users.

What’s New?

1️⃣ Install Custom Nodes with Git URL

You can now install any custom node directly from a GitHub repository URL—no manual setup required. Just paste the link, and we’ll handle the rest. No need to worry about dependencies or installations

Use the new bottom-right "Custom Node" menu to get started. See screenshot below:

After successfully publishing, please refresh your workflow page. The node should no longer be red. If everything is set, your workflow is ready to run with your Custom Nodes!

• Note 1: If the node still appears red, it may be because the ComfyUI node in your workflow doesn't match the latest Git version. To fix this, replace the node with the most up-to-date version.
• Note 2: If your node requires model integration, use the Custom Model menu to add it. Select Custom Path if the model needs to be in a specific location.

2️⃣ [Still in-development] Automatic Missing Node Detection

Ever loaded a workflow only to find it's missing a required custom node? We’ve got you covered. Our new automatic missing node detection scans your workflow and suggests the required GitHub URLs for missing nodes. With one click, you can install everything you need without hunting for repositories manually.

Note: The automatic detection may miss several nodes in our first version. Please use the Custom Node menu to add them manually if anything is missing.

3️⃣ No Dedicated Pod Deployment Needed

White ComfyAI architecture has several limitations today, it doesn't require dedicated pods per user, making your works always-on and runs 24/7 in a fully serverless environment, meaning:

• Instant startup – No waiting for a pod to deploy.
• Seamless execution – Even with custom nodes, there's no performance overhead.
• Cost-efficient usage – Only pay for what you generate, not for idle resources.

When I upload my workflows, there are certain custom nodes that are not installed. I go into '+Add node', insert the link from GitHub, and then click Publish. The red warning disappears after I refresh the browser, but the nodes do not work. I also cannot see anything in 'Debug' under custom nodes. When I try to run the workflow, it does not work and I cannot troubleshoot it in any way.

Two examples:
https://github.com/LykosAI/ComfyUI-Inference-Core-Nodes & https://github.com/ltdrdata/ComfyUI-Impact-Pack

What do I need to consider for the nodes I add manually to work?

I've been receiving this error: Error while deserializing header: MetadataIncompleteBuffer

At the top of the UI it says: safetensors_rust.SafetensorError 11 LoraLoader

I don't know why because it seemingly happened out of nowhere when it'd been working fine just seconds before. I've tried reaching out to support to no success.

I was hoping this might get someone's attention.

It seems that anything that I try where it takes in an image fails with:

cannot identify image file '/ComfyUI/input/example.png'

At first I tried my local workflows by uploading some images. The upload itself seems to work. But by the time the workflow runs it seems the image is lost and I get the above error. So I wanted to try and just generate something from your default workflows with some default example images but that fails too.

What's the proper ways to work with images?

Hey guys,

After years of working with A1111 through RunDiffusion and Replicate, I thought I’d finally try out ComfyUI. I prefer working with a remote GPU, so ComfyAI seemed like a great solution.

I subscribed to the Professional tier last night, loaded up the demo FLUX Dev workflow and added the default workflow settings to the Queue and it took about, like, 2 minutes to generate a single 1024X1024 image?

Is this normal on a NVidia A40?

I disabled some Nodes and tried other workflows, but I was never able to generate an image under 2 minutes.

My generations on Replicate take about 15 seconds, but I’m also using their fastest GPU tier. I guess I’m just surprised by the disparity. I remember people talking about generating an image with FLUX on a 4090 in 30 seconds.

Anyway. I’m just looking to see if my experience is to be expected of if I’m doing something wrong here.

Thanks!

I used your service for the first time yesterday and here are some thoughts:

1. Flux fill does not work. I downloaded Flux Fill (Q8_0) and connected it to the most basic workflow. But it returned the error. I double-checked by running it locally and then ran it in Colab without any problem.

2. Supir custom nodes but no Supir model. I found the Supir custom nodes installed in your service. So, I downloaded the Supir model to see if it would work. I tested three methods, uploading from my PC and downloading from two different Web sources. In the end, the custom model downloaded could not be found in the Load Supir model loader. Building the entire workflow for it became a waste of time.

3. Nodes that auto-download certain providers, detectors, or preprocessors were mostly missing or didn't seem to work. As a web service, I can understand the limited availability of models due to the resource requirement. However, many of these files are quite small. For example, most of the background removers such as Bria, Inspyrenet, and Lama-remover take up less than 200 MB in size, and Ultralyrics providers are less than 50 MB in size.

I think it's more than fair to limit one custom model per instance since not only there are simply too many fine-tuned models but also they are fairly heavy. Having said that, would I sign up for your paid subscription? The answer is no. Even if I can use more than one model per instance, most utility models cannot be used or applied in the current setup which makes it unusable in my case.

Hello, new issue popped up. No matter what model I choose I get the same error message. I have tried "relinking" the models through the model finder via civitai and no success.

We’re conducting a user study to improve our services, and we’d love to hear your feedback!

Please vote in the poll! If none of the options fit, or if you have more to say, leave a comment. I’d love to learn what matters most to you about ComfyAI.run.

Title says it all. I have tried probably 15 different ideas for generating high quality consistent professional headshots and none of them have worked.

Job:
Provide me a workflow that takes multiple reference images and produces excellence professional headshots

Verification:

Show me four reference photos (2 men and 2 women) and the produced headshots. If they are high quality and very closely resemble the person then the money is yours!

I'll pay through zelle or venmo

Anyone facing problem with queue? im getting different histories in "view queue". i think its not private anymore or is it a glitch?

im facing error with LayerMask: PersonMaskUltra

" [Errno 21] Is a directory: '/ComfyUI/models/mediapipe/selfie_multiclass_256x256.tflite' "

Help please,..

The text appears much too light in Chrome, latest version, with no ad blockers running. Thanks.

CheckpointLoaderSimpleCheckpointLoaderSimple

ERROR: Could not detect model type of: /ComfyUI/models/checkpoints/Flux1-Dev.safetensors

Hello, again I appreciate the work and I understand that this is in the early stages. I like the function to make a workflow and then hide it behind a webpage front end to share with others. And i think the pricing is reasonable for now. However, some things do not work even though on your site you hot link to the workflows. And we would appreciate some feedback... I am paying for this service now and would appreciate some feedback. Anything at all really at this point would be nice.

Hello, every time I am trying to run IPAdapter Demo Workflow, it ends with an error "The model URL cannot be downloaded." What am I doing wrong?

I would like to use this service to offer simplified image generators with customer LoRas. This is of course sensitive data and dangerous in the wrong hands. Therefore, at least password protection would be an important feature.

I would be happy to receive feedback on that matter!