Vishnou
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sd-laion-art

StableDiffusionPipeline

stable-diffusion

stable-diffusion-diffusers

Inference Endpoints

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Vishnou commited on Mar 27

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End of training

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README.md +3 -3
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@@ -37,12 +37,12 @@ image.save("my_image.png")
 These are the key hyperparameters used during training:
-* Epochs: 750
 * Learning rate: 1e-05
 * Batch size: 16
 * Gradient accumulation steps: 4
 * Image resolution: 512
-* Mixed-precision: None
-More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/vishnou/text2image-fine-tune/runs/xwkl09i1).

 These are the key hyperparameters used during training:
+* Epochs: 1
 * Learning rate: 1e-05
 * Batch size: 16
 * Gradient accumulation steps: 4
 * Image resolution: 512
+* Mixed-precision: bf16
+More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/vishnou/text2image-fine-tune/runs/dnbasjwq).

val_imgs_grid.png CHANGED Viewed