ROCm VS stable-diffusion-webui

ROCm is not spelled out anywhere in their documentation and the best answers in search come from Github and not AMD official documents

"Radeon Open Compute Platform"

https://github.com/ROCm/ROCm/issues/1628

And they wonder why they are losing. Branding absolutely matters.

https://github.com/ROCm/ROCm/issues/1353

Bought in 2020. Stopped working in 2020. Not the latest, but in-production, advertised ROCm-capable, and what I could find during the Great GPU Shortage of 2020.

Maybe so. But it isn't confidence inspiring when I go to see which cards are supported and I see this issue:

https://github.com/ROCm/ROCm/issues/1714

With Nvidia cards, I know that if I buy any Nvidia card made in the last 10 years, CUDA code will run on it. Period. (Yes, different language levels require newer hardware, but Nvidia docs are quite clear about which CUDA versions require which silicon.)

The will-they-won't-they and the rapidly dropped support is hurting the otherwise excellent ROCm and HIP projects. There is a huge API surface to implement and it looks like they're making rapid gains.

Like, there is: https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md but I'm pretty sure that's very very outdated, maybe from 4.x?

Fair enough I'll give you that. Although it is listed as officially supported here, other documentation says it works but is not officially supported.

Do you have a source? The 580 and several older cards are listed as officially supported here, and even some 2xx/3xx cards are listed as unofficially supported.

Some of the GPUs listed in your link are for consumers. For a more extensive list, see https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md

Very conveniently, your linked page (the therein linked pages) do not talk about which GPUs actually do support ROCm. This is probably because AMDs newest cards do not support ROCm in any way, and would guess they don't want the sales pact this lack of feature could cause. Please do evaluate yourself, here: https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md

* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.

- https://diffusionbee.com/

- https://github.com/comfyanonymous/ComfyUI

- https://github.com/AUTOMATIC1111/stable-diffusion-webui

I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.

But again, it would be nice to have first class support to locally participate in the fun.

In Auto1111, that just uses Image.blend. :)

https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...

I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.

That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.

Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094

version: v1.6.1  •  python: 3.10.13  •  torch: 2.0.1+cu118  •  xformers: 0.0.20  •  gradio: 3.41.2  •  checkpoint: 6e8d4871f8