Python Grid push for 1536x768 - can throw together simple storyboard rough draft, springboard for ideas, imho - simple script in comments. These images can hit 12000x8000 at 100MB+ scaled down for this post.

https://redd.it/1tsmh86
@rStableDiffusion

What image model should I use as somebody who likes the aesthetic of Midjourney and diverse outputs? 16 GB VRAM, 64 GB RAM

I've been a little out of the image generation game (to be honest, locally I've never really been in it very much) and there are so damn many models out there that I don't know where to start. I've been very preoccupied with wan 2.2. What would you recommend these days for a high quality model (so probably nothing sdxl-like, it feels too unstable but maybe there are good versions I don't know of) but with a lot of diversity in its outputs on different seeds (so not like ZIT) and hopefully with not much bias like ZIT has with ethnicity. Flux always felt too plastic-y. I realize nothing quite reaches Midjourney of course but just so you know the direction, I like the artistic kinda stuff rather than "cookie-cutter" looking images if you understand what I mean

Thank you

https://redd.it/1tsq4jk
@rStableDiffusion

Do you think AMD/ROCm has a future where it's viable to use with ComfyUI, etc., and can be real competition against Nvidia? Or will Nvidia/CUDA simply remain the only compatible option in the short to medium term? Would it be better to buy Nvidia now, wait for the RTX 6000 series, or give up on AMD?

Hi friends.

I'm using Linux and I'd like to know what the best decision would be regarding choosing a GPU in the medium to long term.

What do you think the future holds for AMD and Nvidia in terms of using image generation models in ComfyUI?

Should I give up all hope on AMD? Because I'm using Linux, and AMD's open-source drivers work better on Linux.

I know that the best setup right now is Windows + Nvidia + CUDA.

I'm using Linux, so I guess I'm stuck in this situation. If I buy an AMD card, ComfyUI won't work as well as it does with CUDA. But if I buy an Nvidia card, I'd almost have to switch to Windows, and I'm not going to do that.

So, what's the best alternative? Should I wait for the RTX 6000 series to come out in a couple of years, buy an Nvidia card, and use it on Linux?

Or perhaps I should wait for the next generation of AMD gpus; maybe ROCm will improve and be more compatible with ComfyUI?

Although I understand that CUDA memory management and drivers are different and inferior in Linux, and besides, most of the ComfyUI infrastructure, and AI in general, is built entirely using CUDA.

So I think it's a dead end?

What do you think?

https://redd.it/1tsrarf
@rStableDiffusion

Bonsai Image 4B, a pair of low-bit diffusion transformer deployments built from FLUX.2 Klein 4B .

https://redd.it/1tspz3p
@rStableDiffusion

HiDream-O1-Image: C'mon, seriously?

I'm giving Hidream-O1 a shot, and I'm really confused by this model. With editing tasks, the official docs recommend using the non-dev, 50-step model. The thing is, I'm getting way worse results with the "full" model versus the dev model. If I use the dev model, image edits follow my reference images much closer. I'm running the model in BF16 on a 5090 using the official inference.py script. Check these out:

https://preview.redd.it/guz9jx2m9g4h1.png?width=3328&format=png&auto=webp&s=fe3357fff6404d7732638c50631e4faaa1534980

The image on the right (dev version) pretty much looks exactly like the reference face I gave the model. The one on the left isn't close, and the overall quality looks like it was shot on an awful cheap toy digital camera.

Same input image, same prompt, same seed. I'm shocked the Dev model actually follows the input image closer than the full model (nearly perfectly, actually).

If I'm doing something wrong, I'm dying to know.

https://redd.it/1tsrppa
@rStableDiffusion

Stable Diffusion model recommendations for faster and cleaner outputs in 2026?

I’ve been switching between a few models lately but I still can’t find something that feels both fast and consistently clean in results.
Some models look great but slow everything down, while others are fast but lose detail pretty quickly.
Even with similar settings, the output quality feels pretty inconsistent between different checkpoints.
What models are people actually using these days for a good balance?

https://redd.it/1tsuhtz
@rStableDiffusion

Renting a GPU for use with a service like a runpod has become prohibitively expensive. The last time I rented one was about 3 months ago. The price for a 4090 was $5 per day for 25. The hourly rate for a 5090 was higher than for an A100 about 3 months ago.

Even simpler GPUs like the 5070 Ti are absurdly expensive.

Previously, the rental cost was equivalent to the price of the GPU for 2 to 4 years.

Nowadays, it's equivalent to just a few months.

https://redd.it/1tsvt9z
@rStableDiffusion

Flux Identity Adjuster V2

https://redd.it/1tsxd9r
@rStableDiffusion

Tried capturing that classic SF3 Bengus/Akiman/Ikeno art style in ComfyUI. Anyone else miss this vibe?

Lately, I’ve been feeling nostalgic looking through old artbooks. Am I the only one who feels like the 3D era of Street Fighter lost some of its soul to Westernized, hyper-polished realistic models?
As a visual dev artist, I see this all the time: if you don’t fight to keep the raw, stylized "energy" of the original line art throughout the production pipeline, standard 3D industrial polishing just kills the character's personality.
So, I optimized Klein in ComfyUI workflow using original Street Fighter III concept art to see if I could recapture that magic. Here are a few test renders with paintovers—let me know if it hits the spot!
Capcom, please—can we get a next-gen remake that actually preserves the original art style instead of just chasing realism?

https://preview.redd.it/l1mnklezmh4h1.png?width=3066&format=png&auto=webp&s=13ff3754338a77f67ffbe6c33a0b8b92d50af4ea

https://preview.redd.it/ybtoaiezmh4h1.png?width=3554&format=png&auto=webp&s=1359cc09c2aade796ad804656501e8e2fa99e2ce

https://preview.redd.it/rfw80hezmh4h1.png?width=3594&format=png&auto=webp&s=28afa47e03dd917a6bb27829cb1d9269836efc32



https://redd.it/1tsxswt
@rStableDiffusion

WAN 2.2 at home
https://redd.it/1tt1iz9
@rStableDiffusion

Does anyone else can't stand ComfyUI and prefers classic Automatic/Forge UI or it's just me?

I tried. I swear I tried.

Each time a new "ultra super mega" model appears I'm reinstalling that bloody UI just so I can test it, and each time some God Awful error list appears telling me that somehow the latest version it's missing something critical that needs to be downloaded ASAP. And in 3/4 of cases that's not the right download, it's incompatible or needs additional stuff to work.



Even when everything works out of the box I am looking at the final image and think to myself "I could have had 4 batches of 8 images to choose from instead of 1-4 like here".

I am not lazy, but I have a job and I don't have hours to spend to make sure each new model and each new workflow that I download is compatible with every single other version of all dependencies.


Does anyone else feels the same or I'm just the only one that keeps using Forge and Automatic?...

https://redd.it/1tt5uiq
@rStableDiffusion

Damn Anima Base is cooking! What's your favorite lora?
https://redd.it/1tt6eir
@rStableDiffusion

ComfyUI_HYWorld2 update. Quality improvement + World Stereo Light models!

https://redd.it/1tt61vq
@rStableDiffusion

PIT NVIDIA vs SeedVR2

https://redd.it/1tt8h2w
@rStableDiffusion

Perceptual LoRA Toolkit now supports Z-Image Turbo

https://redd.it/1ttak8l
@rStableDiffusion