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Merge pull request #13 from okotaku/feat/dataset_docs
[Docs] prepare dataset
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# Prepare Dataset | ||
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## Finetune | ||
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1. Prepare `metadata.csv` and images. | ||
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The folder structure is | ||
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``` | ||
data/example | ||
├── color.jpg | ||
├── ... | ||
└── metadata.csv | ||
``` | ||
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Example of `metadata.csv`. | ||
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``` | ||
file_name,text | ||
color.jpg,"a dog" | ||
``` | ||
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2. Fix dataset config. | ||
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``` | ||
train_dataloader = dict( | ||
... | ||
dataset=dict( | ||
... | ||
dataset='data/example', | ||
image_column='file_name' | ||
) | ||
... | ||
) | ||
``` | ||
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3. Run training. | ||
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## DreamBooth | ||
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1. Prepare images. | ||
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The folder structure is | ||
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``` | ||
data/example | ||
├── dog1.jpg | ||
├── ... | ||
└── dog5.jpg | ||
``` | ||
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2. Fix dataset config. | ||
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``` | ||
train_dataloader = dict( | ||
... | ||
dataset=dict( | ||
... | ||
dataset='data/example', | ||
) | ||
... | ||
) | ||
``` | ||
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3. Run training. |
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