this post was submitted on 15 Aug 2025
17 points (100.0% liked)

LocalLLaMA

3864 readers
1 users here now

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] panda_abyss@lemmy.ca 2 points 2 months ago* (last edited 2 months ago)

Edit: image Gen works through comfyui, but is slow. Exact same experience as the video, works as he says. Not rendering text literally halves the compute time, but Qwen Image works.

So I had neglected to download the models. Chalk that up to trying to do this after coming home from the bar.

Qwen image is not working in that toolbox container.

First attempt had bad memory access when trying to merge the model and LoRA, second attempt it kept trying to use CUDA so failed to generate, third attempt it reached 100% of denoising generation but started running into strong GPU lag on the rest of the desktop environment and never produced the image.

Fourth attempt failed to merge LoRA again due to HIP memory errors -- this is after a fresh reboot, so no resource contention.

Rebooted qwen, fifth attempt it does merge LoRA and start generation, but never actually finishes an iteration. For some reason this time it appears to be trying to run on 4 CPUs. This run again in the logs said it was trying CUDA, so... I suspect it's the same failure.

It looks to me like a torch configuration issue.___