thomaseding
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Add comparison image
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- README.md +2 -0
- comparison.png +3 -0
.gitattributes
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README.md
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@@ -4,4 +4,6 @@ license: creativeml-openrail-m
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Stable Diffusion 1.5 fine tuned VAE decoder for better pixel art generation by aliasing the output of the decoder.
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Fine tuning was done by training 50 thousand images for 1 epoch effective batch size 12. I preprocessed the images to quantize each 8x8 tile to its average color. On a RTX3090, this took about 4 hours to fine-tune. Used only MSE loss at 1e-5 learning rate. The training data set was just generated from other stable diffusion models, mostly cartoon-like images.
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Stable Diffusion 1.5 fine tuned VAE decoder for better pixel art generation by aliasing the output of the decoder.
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![comparison](https://huggingface.co/thomaseding/vae-teding-aliased-2024-03/resolve/main/comparison.png)
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Fine tuning was done by training 50 thousand images for 1 epoch effective batch size 12. I preprocessed the images to quantize each 8x8 tile to its average color. On a RTX3090, this took about 4 hours to fine-tune. Used only MSE loss at 1e-5 learning rate. The training data set was just generated from other stable diffusion models, mostly cartoon-like images.
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comparison.png
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Git LFS Details
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