diffusers
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Kindly simplify training our own dataset
Hello, Please try to simplify training dataset of our own. It is taking lot of Time and it is difficult to train using current setup.
Hi @NeethanShetty, thanks for bringing it up!
Now it's possible to use a local image folder to train the model by passing --train_data_dir <path-to-train-directory> instead of --dataset/--dataset_name
Also added a section about using your own data to the README: https://github.com/huggingface/diffusers/tree/main/examples#using-your-own-data
Hi @NeethanShetty, thanks for bringing it up! Now it's possible to use a local image folder to train the model by passing
--train_data_dir <path-to-train-directory>instead of--dataset/--dataset_nameAlso added a section about using your own data to the README: https://github.com/huggingface/diffusers/tree/main/examples#using-your-own-data
@anton-l Thanks for your Response. This idea will definitely help.
But the time taking for training is very large. Please suggest a better option for it
Hey @NeethanShetty,
Closing this as documentation to train the model on your own data is now provided. Faster training could include text inversion: https://huggingface.co/docs/diffusers/training/text_inversion