I'm an Arts student who is learning UI/UX design, as well as some other cool skills such as AI, editing, programming, webflow website development, and many more. Join me on this journey, and let's grow together.
I don't know if someone write you this already but I think when you change the words in # commented lines around 4:56 this will not affect. This lines are there to show you if you want to add more concepts to the training :)
Thanks for this great tutorial. However I'm stuck, after adding my images to the folder and adjusting the max train steps prompt, trying to run it, I get an error message saying "python3: can't open file '/content/train_dreambooth.py': [Errno 2] No such file or directory" Any advice? Thanks
No 😅. It's not about which laptop to choose, but how powerful your GPU is. To run SD, you need quite a powerful GPU, which itself could cost between $1,000 and $2,000. Therefore, it might make more sense for you to just get a Google Colab subscription. For a small cost of $10 a month, you can use a world-class GPU. Then, even a $200 PC would work. I myself have been running this whole thing on Google Colab.
Getting this error, however I have uninstalled torch 2.2.2 and installed 2.2.1 using both pip and conda. Conda list only shows 2.2.1 installed, however i keep getting this error.... Any suggestions? torchaudio 2.2.1+cu121 requires torch==2.2.1, but you have torch 2.2.2 which is incompatible. torchtext 0.17.1 requires torch==2.2.1, but you have torch 2.2.2 which is incompatible. torchvision 0.17.1+cu121 requires torch==2.2.1, but you have torch 2.2.2 which is incompatible.
Just wanna say, man... your style is great. These how-to videos are usually a snooze-fest, but you make it entertaining. You'll definitely be my go-to guy from now on.
You need to update your video. COLAB no longer works. I have seen almost all the videos on the same topic and tried the COLABs they suggested. Google COLAB does not work any longer. You will do everything and at the end when you execute the training, it will return an error on CUDA setup.
I'm getting an error at 9:32. huggingface_hub.utils._validators.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: ''.
Bro for dreambooth only required 3 to 5 images. But I have only 1 image😅(of other person) now how can gather other images of that person he is not famous and he is a small school teacher
@@ThatArtsGuySiddhant-tk4jb bro how to i train a different persons in one model in different GPU because after first training model GPU runtime out after some or using different GPU how to i second person and the photo required is of my principle thanks for your reply please also reply me for this 🙏🙏
i am facing error on python code : Traceback (most recent call last): File "/content/train_dreambooth.py", line 18, in <module> from accelerate import Accelerator ModuleNotFoundError: No module named 'accelerate'
Someone who makes a video about training your own AI and then tells people that installing Stable diffusion on a local PC is a bad decision, is clearly a SCAM. Stop making videos, please.
huggingface_hub.utils._validators.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: ''. this error comes whiles doing the traiing step
I have a labeled dataset means I have a folder consisting of subfolders named according to the type of pattern they consist and another folder for the background so how to train with a dataset which have multiple sub-datasets and I want realistic images like texture of cloth should be generated so which model is best suited
I hope you build a PC with a good PC. I do lots of stuff with Stable Diffusion on my PC, and I stumbled on this video today. Having a PC you can do it yourself on opens up so many possibilities.
I tried the shared method 10 times but failed and getting the following error everytime I try: python3: can't open file '/content/train_dreambooth.py': [Errno 2] No such file or directory
Wow Awesome Video - love the edits, cadence and clarity! Really helped me understand diffusion as well! Thank you! Question: If I wanted to be crazy and try to locally install it on my home pc, would I clone it from Git, or download the files? I would love to see this being done!
First and foremost, I recommend not attempting to run Stable Diffusion on your PC. However, if you're interested, I've created a tutorial video. Simply clone the 'Automatic 1111' repository onto your computer and follow the instructions provided in the tutorial. This is advisable only if your PC is highly powerful; otherwise, the experience could be quite frustrating.
Hey Man, i got the error when i start training... any suggestions? NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs: query : shape=(1, 2, 1, 40) (torch.float32) key : shape=(1, 2, 1, 40) (torch.float32) value : shape=(1, 2, 1, 40) (torch.float32) attn_bias : <class 'NoneType'> p : 0.0 `decoderF` is not supported because: xFormers wasn't build with CUDA support attn_bias type is <class 'NoneType'> operator wasn't built - see `python -m xformers.info` for more info `flshattF@0.0.0` is not supported because: xFormers wasn't build with CUDA support requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old) dtype=torch.float32 (supported: {torch.bfloat16, torch.float16}) operator wasn't built - see `python -m xformers.info` for more info `tritonflashattF` is not supported because: xFormers wasn't build with CUDA support requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old) dtype=torch.float32 (supported: {torch.bfloat16, torch.float16}) operator wasn't built - see `python -m xformers.info` for more info triton is not available requires GPU with sm80 minimum compute capacity, e.g., A100/H100/L4 Only work on pre-MLIR triton for now `cutlassF` is not supported because: xFormers wasn't build with CUDA support operator wasn't built - see `python -m xformers.info` for more info `smallkF` is not supported because: max(query.shape[-1] != value.shape[-1]) > 32 xFormers wasn't build with CUDA support operator wasn't built - see `python -m xformers.info` for more info unsupported embed per head: 40
