You didn't mention how you uploaded the images for training the model, lets say I want to train the model on my pet, I thought that was the whole point of this video.
I appreciate the tips and tricks shared here to make the process more accessible. It's amazing how advancements in cloud computing and open-source frameworks are democratizing AI development.
@@TechNbags i get an error about wget: ModuleNotFoundError Traceback (most recent call last) in () 6 import ipywidgets as widgets 7 from io import BytesIO ----> 8 import wget 9 10 with capture.capture_output() as cap: ModuleNotFoundError: No module named 'wget'
Missing a lot of steppes, especially how to do basic operations with images. I've encountered at least 3 issues on that, which seems not letting me to go further & seems b'coz of that I don't have things like shown in step 10 & step 11. Also every time I'm clicking "play" on any cell it prompting google login window again & again even if I logged in & allowed/permitted everything through it. I would rly like to have detailed video about step by step setup with deep explanation on every step instead of introduction of what popular AI platforms are. I would like to get video about how to set all this stuff on own PC & use own hardware/GPU(S).
Thanks a lot, works really well but google collab keeps disconnecting after 1 or 2 generation of image telling that you can't use it for this. Can you run the code on your local computer ? If yes, How ? Thanks
00:04 Learn to train AI image models on a budget 02:19 Stable diffusion is an open source model for generating diverse and high quality samples. 04:56 AI image models are expensive to train due to infrastructure costs. 07:23 Training AI models for specific styles or subjects 10:12 Training your own AI image models is necessary for specific objects or mascots. 13:14 Using Google collab for AI training with strong GPU access. 15:53 Training AI image models with a small dataset 18:05 Training your own AI image models improves results 20:22 Using in painting to improve generated images 22:30 AI image models need manual touch-ups for best results 24:43 Training AI image models for diverse collections of people and avatars
I have this error when trying to generate images in Stable Diffusion locally: Error: Could not load the stable-diffusion model! Reason: Unknown model! No config file path specified in context.model_configs for the "stable-diffusion" model! I read somewhere that yaml file is missing. Where can I find it?
I have a question for those who where able to do it, is there a way to have the same gradio interface in hugging face with the same amount of options and sliders etc., when I uploaded my model it is just a simple text input with no sliders or any way to change the batch size, width,etc.
i didnt got it how to use this google colab thing, in end saud "something went wrong" and i have no idea why...i tried all you showed and said in the video, but for someone who has no idea bout all this, its not detailed enought :(
how can I use this code locally? To connect to my local paths with files, not google drive? Experiencing disconnections that don't let me finish execution of code blocks
After a few minutes of playing with my models I always get a "Connection errored out." message in the test web page. Is this because I am not paying for google colab or some other thing I am missing ?
many humans do this ..mate.. it's called dyslexia, many suffer mild forms. even in hearing.. imagine if you hear rhythm reversed sporadically.. id' show up as spastic dancing.. thus the term "white ppl can't dance".. it afflicts that demographic, just a tiny example.
