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README.md
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@@ -14,6 +14,11 @@ The main goal is to fine-tune the Stable Diffusion model to generate images refl
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And I chose to utilize a Jupyter Notebook to make the fine-tuning process accessible and easy to understand, particularly for those new to the diffusion pipeline and hugging face API.
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## Examples(at epoch 90)
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
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And I chose to utilize a Jupyter Notebook to make the fine-tuning process accessible and easy to understand, particularly for those new to the diffusion pipeline and hugging face API.
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# Requirements
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To launch the finetuning with a batch_size of 1 you need to have a gpu with at least 24G VRAM (you can use accumulating gradient to simulate higher batch size)
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Make sure that you have enough disk space, the model uses ~11Gb
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## Examples(at epoch 90)
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
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