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Kindly simplify training our own dataset #145

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NeethanShetty opened this issue Jul 29, 2022 · 4 comments
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Kindly simplify training our own dataset #145

NeethanShetty opened this issue Jul 29, 2022 · 4 comments
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@NeethanShetty
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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.

@NeethanShetty NeethanShetty changed the title Kindly simply training own data Kindly simplify training our own dataset Jul 29, 2022
@anton-l anton-l self-assigned this Aug 3, 2022
@anton-l
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anton-l commented Aug 3, 2022

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

@NeethanShetty
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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

@anton-l Thanks for your Response. This idea will definitely help.

@NeethanShetty
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But the time taking for training is very large. Please suggest a better option for it

@patrickvonplaten
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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

PhaneeshB pushed a commit to nod-ai/diffusers that referenced this issue Mar 1, 2023
* Change shark_importer to use tosa.mlir as tflite model input from  local gen_shark_tank
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