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@@ -9,6 +9,9 @@ And 200 LLM captioned e621 images: https://huggingface.co/datasets/lodestones/e6
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  The total trained images are just 400 total , randomly selected , so this LoRa adaptation is very basic! You can likely train a better version yourself with listed tools on Google Colab Free Tier T4.
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  //----//
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  I made some .parquets of the captions here for easier browsing: https://huggingface.co/datasets/codeShare/chroma_prompts
 
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  The total trained images are just 400 total , randomly selected , so this LoRa adaptation is very basic! You can likely train a better version yourself with listed tools on Google Colab Free Tier T4.
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+ Want to train your own LoRa from a JSON or .parquet set if data? Use this notebook found in this repo: https://huggingface.co/codeShare/flux_chroma_image_captioner/blob/main/train_on_parquet.ipynb
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  //----//
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  I made some .parquets of the captions here for easier browsing: https://huggingface.co/datasets/codeShare/chroma_prompts