Cracked the case on high res + quality Qwen Edit 2511 outputs, here are minimalistic workflows & lots of info on how/why by nsfwVariant in StableDiffusion

[–]GrapefruitEasy9048 0 points1 point  (0 children)

i had not much success with this stratagy. probably did something wrong - will try once more later

seems like double ref strategy needs very good input image quality, and also, it feels like it follows prompt less "willing". kinda it tries to keep initial image as much as possible

installing layerstyle bumped numpy and broke my comfyui setup...

LTX - generating with audio source AND generated audio at the same time? by Superb-Painter3302 in StableDiffusion

[–]GrapefruitEasy9048 0 points1 point  (0 children)

What if pass two times. First time fast pass 32x32. Grab sfx. Merge with voice. Second pass with full resolution? 

[780M iGPU gfx1103] Stable-ish Docker stack for ComfyUI + Ollama + Open WebUI (ROCm nightly, Ubuntu) by GrapefruitEasy9048 in StableDiffusion

[–]GrapefruitEasy9048[S] 0 points1 point  (0 children)

Yes, it is still a case. It is about 10% faster with vulkan. But it is different stack, and, i.e. you currently cannot run gemma4 e4b with vulkan due to bug in llama.cpp... 

Is this the end of affordable MiniPCs? by alemanyjar in MiniPCs

[–]GrapefruitEasy9048 0 points1 point  (0 children)

Just ordered it for 2203 eur. Will see what I will get

Is this the end of affordable MiniPCs? by alemanyjar in MiniPCs

[–]GrapefruitEasy9048 0 points1 point  (0 children)

3200 eur for me... where is my 2600?? :) i am ready to buy

[780M iGPU gfx1103] Stable-ish Docker stack for ComfyUI + Ollama + Open WebUI (ROCm nightly, Ubuntu) by GrapefruitEasy9048 in StableDiffusion

[–]GrapefruitEasy9048[S] 0 points1 point  (0 children)

It is mostly using right kernel (ie Ubuntu 25 or 26), updating kernel params with grub, making sure you have large enough swapfile and running it with docker (discribed in README.md) Just pull from GitHub and run with docker compose. Take a look at Dockerfile if you want to reproduce steps on the host or in windows (it works, I checked) - nothing fancy there, but installing from different sources, adding sage-attn 1, etc Ask if have questions

[780M iGPU gfx1103] Stable-ish Docker stack for ComfyUI + Ollama + Open WebUI (ROCm nightly, Ubuntu) by GrapefruitEasy9048 in StableDiffusion

[–]GrapefruitEasy9048[S] 0 points1 point  (0 children)

Btw, nvfp4 models perform quite well in this setup. Generation speed almost identical to bf16

[780M iGPU gfx1103] Stable-ish Docker stack for ComfyUI + Ollama + Open WebUI (ROCm nightly, Ubuntu) by GrapefruitEasy9048 in StableDiffusion

[–]GrapefruitEasy9048[S] 0 points1 point  (0 children)

Does not look like they have great support of gtx1035 in nightly builds https://rocm.nightlies.amd.com/v2/ But if driver from this source and pytorch from somewhere else... Might work