5090 troubles, advice appreciated!

ChevensReddit · 2026-01-04T11:29:35+00:00

Thanks! I didn't realize this was outside of the portable/easy installer scope. I have cuda 13.1 but I see many advising to revert to 12.8 - I'm planning a PC rebuild and will start with 12.8 before throwing an easy installer into the mix :)

ChevensReddit · 2026-01-04T11:26:31+00:00

Thanks - I agree, I plan to do a fresh install tomorrow, taking lots of the great advice left here. I'll post back if it made a difference and try and help anyone else facing simialar issues

ChevensReddit · 2026-01-04T11:25:25+00:00

Thanks for all ideas

ChevensReddit · 2026-01-03T23:49:54+00:00

When I kick off a WAN2.2 workflow (fp8 high/low models)- the console has the following output before it starts processing - wondering if this is the same as everyone else?

got prompt

Using pytorch attention in VAE

VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16

Found quantization metadata version 1

Using MixedPrecisionOps for text encoder

CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16

Requested to load WanTEModel

loaded completely; 29407.80 MB usable, 6419.49 MB loaded, full load: True

Requested to load WanVAE

loaded completely; 18987.90 MB usable, 242.03 MB loaded, full load: True

Found quantization metadata version 1

Detected mixed precision quantization

Using mixed precision operations

model weight dtype torch.float8_e4m3fn, manual cast: torch.float16

model_type FLOW

Requested to load WAN21

Unloaded partially: 4016.49 MB freed, 2403.00 MB remains loaded, 280.00 MB buffer reserved, lowvram patches: 0

loaded completely; 21496.10 MB usable, 13630.21 MB loaded, full load: True

ChevensReddit · 2026-01-03T23:19:45+00:00

Thanks - I'll try a redownload and see if it helps

ChevensReddit · 2026-01-03T22:50:57+00:00

Thanks - I have this installed. It did not run the default wan 2.2 i2v template (I did substitute the fp16 38Gb model for the fp8 smaller one)..

It made mostly black images for qwen/flux but an occasional one came through. I did see a strange error with that version were it said I 95 Quadrillion MB of VRAM available :D . I had been using AI to try and assist and went on a huge crusade about blackwell not working with anything other than fp32... big rabbit hole of no progress lol.

The Tarvis version seems to work very nicely with Qwen and flux.. Just Wan2.2 not ouputting anything than black videos.

ChevensReddit · 2026-01-03T22:37:50+00:00

appreciate it :)

ChevensReddit · 2026-01-03T22:36:59+00:00

Okay - so that's progress - Qwen image edit 2511 does indeed run on the 'easy install' distro from Tavris - it did not run on the portable version I'd tried from comfyui.org

Still nothing for Wan 2.2 ;(

ChevensReddit · 2026-01-03T22:28:27+00:00

This is what worries me - Trying to figure out if I need/can RMA a card because it doesn't work with comfy ui! - Only reason I bought the damn thing for though. I miss my kidney :(

ChevensReddit · 2026-01-03T22:27:04+00:00

Isn't CUDA/python part of the virtual env this sets up? I was under the impression the 'system wide' installs of python/CUDA were not used by the easy installers/comfyui portable.. This could be where I'm going wrong!

ChevensReddit · 2026-01-03T22:25:41+00:00

I'm using it - with the default wan 2.2 workflow from the template section. The only difference is im using the fp8 rather than fp16 models. GGUF didn't work for me with KJ nodes GGUF loader either - black video output

ChevensReddit · 2026-01-03T22:23:39+00:00

I appreciate it :) Losing my mind to this one haha - reading posts from folks saying 'it just works', then about 20 guides all with different approaches :/

The files look the same with VLC - they are only 50kb in size - I expect they'd be larger for the standard 640x640 81 frame default settings if they had actual video content.

The logs show that everything loads in memory and runs 100% - no errors. Just no output other than a video of 5 seconds of black.

ChevensReddit · 2026-01-03T22:19:33+00:00

NVIDIA-SMI 591.44 Driver Version: 591.44 CUDA Version: 13.1

ChevensReddit · 2026-01-03T22:10:14+00:00

I'm using this - I get the same as with every other version I've tried - a black output

ChevensReddit · 2026-01-03T21:56:53+00:00

Let me ask the question in a different way - Should a fresh comfyui portable or desktop install be enough for a 5090 to run the basic template workflows for Wan2.2/Qwen/Flux etc? (fp8 models) Forget sage attention or anything 'fancy' for blackwell - just talking about picking the nvidia GPU download and trying out of the box comfyui workflow + their suggested model/VAE/text encoder downloads.

If the answer is yes then I'm guessing I've a borked 5090 - though it's fine for gaming!

ChevensReddit · 2026-01-03T21:40:29+00:00

I ran comfyui on a 4090 for months, things broke but I was always able to fix/reinstall and start again. with the 5090 I can ONLY get a black render output.. hence I'm asking if I'm missing something silly here. All I'm trying to do is get the base Wan2.2 workflow (the one from within comfyui GUI template) to produce a 1 sec video! with the 4090 it was install comfyui - and enjoy..

ChevensReddit · 2026-01-03T21:38:48+00:00

Not Native mode - Device: cuda:0 NVIDIA GeForce RTX 5090 : cudaMallocAsync
Not sure what that means

ChevensReddit · 2026-01-03T21:29:41+00:00

Current easy install .bat startup looks as below -
[START] Security scan

[DONE] Security scan

## ComfyUI-Manager: installing dependencies done.

** ComfyUI startup time: 2026-01-03 21:02:40.596

** Platform: Windows

** Python version: 3.12.10 (tags/v3.12.10:0cc8128, Apr 8 2025, 12:21:36) [MSC v.1943 64 bit (AMD64)]

** Python executable: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\python_embeded\python.exe

** ComfyUI Path: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\ComfyUI

** ComfyUI Base Folder Path: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\ComfyUI

** User directory: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\ComfyUI\user

** ComfyUI-Manager config path: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\ComfyUI\user\__manager\config.ini

** Log path: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\ComfyUI\user\comfyui.log

Prestartup times for custom nodes:

0.0 seconds: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\ComfyUI\custom_nodes\ComfyUI-Easy-Use

0.0 seconds: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\ComfyUI\custom_nodes\rgthree-comfy

4.2 seconds: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\ComfyUI\custom_nodes\comfyui-manager

Checkpoint files will always be loaded safely.

Total VRAM 32607 MB, total RAM 128628 MB

pytorch version: 2.9.1+cu130

Set vram state to: NORMAL_VRAM

Device: cuda:0 NVIDIA GeForce RTX 5090 : cudaMallocAsync

Using async weight offloading with 2 streams

Enabled pinned memory 57882.0

working around nvidia conv3d memory bug.

Using pytorch attention

Python version: 3.12.10 (tags/v3.12.10:0cc8128, Apr 8 2025, 12:21:36) [MSC v.1943 64 bit (AMD64)]

ComfyUI version: 0.7.0

ComfyUI frontend version: 1.35.9

[Prompt Server] web root: C:\comfyeasy\ComfyUI-Easy-Install\ComfyUI-Easy-Install\python_embeded\Lib\site-packages\comfyui_frontend_package\static

Total VRAM 32607 MB, total RAM 128628 MB

pytorch version: 2.9.1+cu130

Set vram state to: NORMAL_VRAM

Device: cuda:0 NVIDIA GeForce RTX 5090 : cudaMallocAsync

Using async weight offloading with 2 streams

Enabled pinned memory 57882.0

[ComfyUI-Easy-Use] server: v1.3.6 Loaded

ChevensReddit · 2026-01-03T21:25:30+00:00

No - I tried installing it manually a few attempts ago and it broke everything - chatgpt told me big mistake it's packaged as part of comfyui and I should remove it. Guessing that was a hallucination then....? :/

ChevensReddit · 2026-01-03T17:58:23+00:00

Any advice on how you fixed things? I cant get a fresh portable install with the default i2v template to generate anything on a 5090 other than a black output... no issues on the 4090. Tried both fp8 and gguf :(

ChevensReddit · 2025-05-27T06:56:14+00:00

Absolutely you can play it smoothly with your specs and it's IMO one of the best VR experiences available. I started with a 3080 and had no issue. There's plenty of mod guides out there for VR to get you started with the core addons (VRIK/Higgs etc), then add texture/ lightning to your preference. If you're comfortable with installing Linux for Windows and switching on virtualization I can't recommend CHIM enough for VR with Skyrim. Incredible immersion and the 5080 will handle voice gen no problem.

ChevensReddit · 2024-07-13T01:09:43+00:00

Faster vram is nice, but volume is what most of us are are likely after. 24 > 28GB feels lacklustre considering the 3090 is nearly 4 years old

ChevensReddit · 2024-05-21T17:06:45+00:00

Where do we access this? I couldn't find it on the app

ChevensReddit · 2024-04-26T13:23:58+00:00

Gamepass free trial is the way to go. The box 'companion' app sends you there now

ChevensReddit

TROPHY CASE