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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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  ![vv1.jpg](https://huggingface.co/cQueenccc/Fine-Tune-Diffusion-Vivian/resolve/main/eval/A%20woman%20walking%20down%20the%20street/A%20woman%20walking%20down%20the%20street_90_000000.png)
 
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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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  ![vv1.jpg](https://huggingface.co/cQueenccc/Fine-Tune-Diffusion-Vivian/resolve/main/eval/A%20woman%20walking%20down%20the%20street/A%20woman%20walking%20down%20the%20street_90_000000.png)