Hello everyone. I am Dr. Furkan Gözükara. PhD Computer Engineer. SECourses is a dedicated YouTube channel for the following topics : Tech, AI, News, Science, Robotics, Singularity, ComfyUI, SwarmUI, ML, Artificial Intelligence, Humanoid Robots, Wan 2.2, FLUX, Krea, Qwen Image, VLMs, Stable Diffusion
haha i dont know enough about comp sci. But the idea that software is the roadblock and not hardware was interesting for LLMs that run on GPUs that aren't NVIDIA
My English is poor . I could not convey my wish I have thousands of low quality photos that I want to bring to the highest level of quality in detail, but the images do not change
In this case, it does not give me quality with these details, Something that makes me excited and satisfied. There are unique details of hair and skin texture
this isn't THAT specifically important. More importantly is that python 3.11.x isn't used. I had kernel issues doing AI using 3.10.6. A couple people helping me insisted that i used that to solve all my problems, so i downgraded from 3.10.9 to 6 and it actually started causing me hard system crashes. I suspect it was to do with incompatibilities between windows 11 on alderlake, and python but i never explored those suspicions. what i know is that the hard kernel problems go away when i changed python versions to a newer 3.10.9. i may upgrade to whichver the new 3.10.x is soon.
mine would run, but slowly, and then crash after a few staggery generations. i have alderlake and 4080 on newest OS. so we might have different needs. It may be a good suggestion for some people though right?
Is there a way I can have SD start with specific settings already entered for the inpainting section of img2img? I pretty much always use the same prompt, sampler, CFG scale, denoise strength resolution, etc.
ui-config.json in automatic1111 root directory allows the change. i don't think it's a specific change to the inpainting tab though, but all of img2img default value rather.
am trying to train with kohya script and i i can only make it get this far. is there any help to advise here? it'll stay at this step all night and do nothing if i leave it.
i've had errors whiel i was building the data set and i learned to structure those folders right and got through it. this is a brick wall though. an error would aid. haha. trying adamw now
yeah same thing again. it fires up really fast and efficient. detects my image set. begins the training and just halts up. another thing i've noticed is if it's there and i press train in the gui again, it'll run again and get to that point. /shrug