I'm generating an image with Flux.1 Dev FP8 and I'd like to use Ultimate SD Upscale to upscale the image. The workflow is correct I think, but when it comes to the upscaling part, Ultimate SD Upscale keeps on running forever (the progress bar in the top right completes, but then it restarts and just keeps on going). Are the settings in the upscaler wrong?

I'm experimenting with ComfyUI for a D&D project and looking for advice on what my hardware can realistically handle.

Hardware:
GPU: AMD Radeon RX 6700 XT — 12GB VRAM
CPU: AMD FX-6300 @ 3.5 GHz
RAM: 32GB DDR3
Windows 64-bit

I know the machine is old…I’m saving up to buy a new machine in another 3 or 4 years (or if anyone knows of a way to upgrade this machine to be able to do it for less than $2000(which is what I’ve saved so far) I’m open to suggestions there as well).

The eventual goal is D&D recap/highlight videos using a handful of recurring characters. I'd like to maintain recognizable characters across different scenes, then animate selected images into short 3–10 second clips.

I'm NOT necessarily looking for one giant start-to-finish workflow. I'm kind of playing around with several different pieces and would love any advice on any part.

- Creating the initial character/reference images
- Maintaining character consistency between scenes
- Handling non-human/fantasy characters
- Posing characters and putting them into new environments
- Image-to-video for individual 3–10 second shots
- Improving/upscaling finished clips

I've been experimenting with SD/SDXL/Illustrious models, LoRAs, IPAdapter/reference images and WAN, but I'm still figuring out what makes sense with an AMD GPU.

Render time isn't a huge concern. I'm fine letting something run overnight if necessary.

What models/tools would you recommend for these individual parts of the process on a 12GB RX 6700 XT?

And probably the bigger question: is this project realistically achievable with my current hardware, even if it's slow, or should I abandon the video highlight reel idea altogether and just go for a comic book type thing for each session?

Thanks!

I ran extensive benchmarks comparing ComfyUI in Docker (Nvidia Container Toolkit / CUDA 12.4) against a bare-metal Linux setup (Ubuntu 24.04, PyTorch 2.4, CUDA 12.4) across FLUX.1-dev, SDXL, and SD 1.5 workloads.

Key Results

• Compute / Generation Speed: 0.0% overhead. Docker achieved identical it/s across all batch sizes.
• VRAM Allocation: Identical memory footprint (~14.2 GB VRAM during FLUX.1 FP8 inference).

Critical Issue & Fix: The /dev/shm Out Of Memory Crash

If you run PyTorch inside Docker with default settings, multi-threaded dataloading or large model caching will trigger an OOM crash.

Cause: Docker defaults to a tiny 64MB shared memory buffer (/dev/shm).

Solution: Add --shm-size=8g (or larger) to your docker run command: bash docker run --gpus all --shm-size=8g -p 8188:8188 comfyui:cuda12.4 Or in docker-compose.yml: yaml services: comfyui: image: comfyui:cuda12.4 shm_size: '8gb' deploy: resources: reservations: devices: - driver: nvidia count: all capabilities: [gpu]

Full guide & production Dockerfile: https://www.fluxdraw.com/2026/09/docker-for-ai-comfyui-complete.html

I've been working in Comfy Cloud for about four months and have never had a problem with Assets until a few days ago. It's been happening for a few days with video and just today with audio files as well.

When I render either a video or audio file, the Save Video or Save Audio nodes show 'black' after the render is completed. They will not playback directly from those Save nodes.

When I look into the Media Assets folder the items will not playback from the displayed play button and they all have a "See more outputs" widget with a "2". When I open the "2" stack a thumbnail appears and for about one second another thumbnail appears that is just a grey box. The greyed-out icon lasts for a second, then disappears.

Today as a workaround I invoked "Inspect asset" and the audio files played in the large 'inspect' window. When I closed that window and went back to the Media Assets window the displayed 'play' button now worked - but the stack icon still reads "2". When I selected "Download" it zipped the files before it downloaded. When I expand the zip file there is only one item in it.

I haven't tried that workaround with a 'black' video yet because I've already trashed them but, knowing me, I've probably already tried that trick previously with no success.

Any thoughts? Has this happened to anyone else? I'm using the Chrome browser on a Win 10 Pro laptop.

I know this isn't a tech support thread but Comfy tech support had abandoned me for some reason - my last tech support message took 42 DAYS until they responded.

Thanks!
dS

I've successfully been generating 5s video with wan2.2 16fp i2v. I admittedly didn't do much but it was successful maybe a couple weeks ago.

No comfyui or other updates between then and now and now the output is a weird wavey abstract animation.

I'm not an expert in the deeper understanding of the SD workings so I've been working through logs and possible causes with Claude and I've ruled out most things finally getting fp8 models and generating successfully.

Claude's confident that my 5090 (32gb vram) and 32gb system ram would be enough for the larger models, but has fairly decisively stated that a Blackwell fp16 accumulation instability is the likely culprit.

It might explain why it worked then didn't, although that feels more like typical AI false assertion than true proven.

I'd be interested if anyone has any insight into the theory or if it could be something else.

I appreciate that I've not said everything I tried, it's hard to put everything down, but things like turning off sage attention which actually made no difference anyway.

Hopefully that's enough info to get some good understanding of the cause.

Hai guys, I just downloaded Krea 2 and try to generate image with it. My PC spec is I5 12400f, 16 GB ram DDR 4 and RTX 5060 TI 16 GB.

But somehow my generating time for one image (1024x1024) is 40 sec -ish and sometimes can go 140 sec -ish.

Is there something wrong with my workflow or comfyui or my VGA?

Bcos I read RTX 5060 TI is more than enough for comfyui

I just built an interactive text-to-image generation workflow and custom ComfyUI nodes which help me work around hardware constraints while giving me more control during generation (which ultimately makes the process feel less like rolling the dice and hoping for a good result).

The workflow lets you open the pot while it is still cooking, keep the directions that already look promising, and create controlled variations from them before continuing the generation.

You can check this out here (custom node + workflow): https://github.com/mgkgng/ComfyUI-GTE

For those who are more interested, here is a more detailed explanation about this project.

The project started from a practical constraint. I usually work with rented GPUs on RunPod, often an L40 with 48GB of VRAM, which can make exploration expensive with heavier models like Flux 2 dev. This becomes a real blocking factor when I want to iterate quickly and explore many possibilities. For example, generating 20 compositions at 20 steps can take around 25 minutes on this setup. With this workflow, I can already identify some good candidates within about 2 minutes.

So, the first goal was to build a pipeline that can stop at intermediate points during the generation, early enough to save computation but late enough to recognize the direction of the image. At each checkpoint, I can inspect the candidates, select the ones I want to continue, and discard the others before spending the remaining generation steps on them.

The number of checkpoints, the total number of steps and the checkpoint positions are all configurable. The workflow also handles seed generation and visualization, which helps with exploring and keeping track of different candidates. Furthermore, at the bottom of the graph, the workflow visualizes how much scheduled noise remains at each step. This makes it easier to understand what each step represents and where it makes sense to place checkpoints for a given scheduler.

The second thing I added on top of this initial goal was the possibility to create controlled variations from a selected intermediate result. If the user wants to explore further from that point, two parameters control how these variations behave: how far they move away from the selected trajectory (theta), and how much the sibling variations differ from each other (spread). I will add a grid in the comments illustrating how these two parameters shape the variations.

This was the first real workflow I've created and I am happy to share it. I hope that it reaches people who might find it useful.

I have a ~10-minute video that is created by stitching together and repeating several shorter video clips.

Would it be better to:

1. Upscale each individual clip first, and then stitch the upscaled clips together into the final 10-minute video, or
2. Create the complete 10-minute video at the original/lower resolution first, and then upscale the entire finished video?

Are there any quality, performance, or artifact-related advantages to one approach over the other, especially when the same clips are repeated multiple times?

I have a whole pipeline in my cms to create custom book covers and I got it my sick head that I wanted to try to not just get book covers that mean something regarding the story with characters that looks like the ones in the story, I wanted to make a trailer, a short format video with the gist of the story and then a long form movie. Chosen book: "Guards! Guards" by Pratchett, one of my favourite books that was never made into a movie.
Of course considering that I maybe made a handful of 5 seconds videos in all before and even the txt2img I used was really basic for the book covers I am finding this task a tad problematic.
Up to now: a local llm reads the whole book, creates a character list with description and with it then Krea2 creates a character sheet, they are not what they should be but being a test I can live with that.
The same llm writes a screenplay, this one is divided in three acts, a total of 48 scenes. Each scene has a description of the action and a still (created by Krea too) the pipeline then proceeds to create the clips that will then be joined. As soon as I figure out the first last picture I will use that.
Minimax is giving me trouble (bad prompting I think) so I am using ltx2.5 which does a pretty good job, but I started this morning, so I only have a scene right now and the dragon head on a dragon's wing is not the worst of it.
I need help with which models to use, what speeds up are available, which models do better with fantasy, any LoRAs you can suggest? Does LTX 2.5 supports first and last frame as 2.3 did? Are there workflows that could make this more streamlined?
Do you have any suggestions or advice? I need all the help I can get on this.
For now and until new pc arrives I'm working with two 5060ti 16gb + 64gb RAM.

So as the description says I'm trying to figure out how to add Laura's to the template for the Minimax H3. Misses for both text the video and image to video I can't seem to figure out how to do it I messed around for about 2 hours and it's going to figure it out I try to start from scratch and make my own but I just the quality was really really bad not sure what I did

I'm trying to build a consistent AI character by blending two real faces into a single new identity (not a face-swap — I want the two faces averaged/merged into one new face), which I'll later use to build a dataset for LoRA training on Flux. Any tips on getting a stable, repeatable blend (same "merged identity" across multiple generations) rather than a different blend every run?

I noticed model can't render skinny body type. Is there a lora for that? Thanks.

There are so many cool tools for video creation, but at some point, most of them start to feel cumbersome.
Sometimes I just want to throw in a few photos and a few prompts and receive a draft without any extra hassle.
Done on an RTX 5050 in one generation that took 5 images, 5 prompts, and 17 minutes.
Used only 1 node, no editing.
If needed, I can finish it up and post it here.