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@@ -19,7 +19,7 @@ vae = AutoencoderKL.from_pretrained("lavinal712/transfusion-vae")
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  ## Model
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- This model was trained for 7 epochs on ImageNet, with training parameters following the original Transfusion paper.
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  $$\mathcal{L}_{\mathrm{VAE}} = \mathcal{L}_1 + \mathcal{L}_{\mathrm{LPIPS}} + 0.5\mathcal{L}_{\mathrm{GAN}} + 0.2\mathcal{L}_{\mathrm{ID}} + 0.000001\mathcal{L}_{\mathrm{KL}}$$
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  ## Model
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+ This model was trained for 50 (legacy: 7) epochs on ImageNet, COCO and FFHQ (legacy: ImageNet), with training parameters following the original Transfusion paper.
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  $$\mathcal{L}_{\mathrm{VAE}} = \mathcal{L}_1 + \mathcal{L}_{\mathrm{LPIPS}} + 0.5\mathcal{L}_{\mathrm{GAN}} + 0.2\mathcal{L}_{\mathrm{ID}} + 0.000001\mathcal{L}_{\mathrm{KL}}$$
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