End of training

.gitattributes

@@ -38,3 +38,4 @@ val_imgs_grid0.png filter=lfs diff=lfs merge=lfs -text
 val_imgs_grid1.png filter=lfs diff=lfs merge=lfs -text
 val_imgs_grid2.png filter=lfs diff=lfs merge=lfs -text
 val_imgs_grid4.png filter=lfs diff=lfs merge=lfs -text
+val_imgs_grid5.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -37,7 +37,7 @@ image.save("my_image.png")
 
 These are the key hyperparameters used during training:
 
-* Epochs: 18
+* Epochs: 19
 * Learning rate: 1e-08
 * Batch size: 1
 * Gradient accumulation steps: 1

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+  "_name_or_path": "amazing-logos-v5\\checkpoint-7360000",
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+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
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+  "mid_block_only_cross_attention": null,
+  "mid_block_scale_factor": 1,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
+  "norm_eps": 1e-05,
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+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
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+  "time_embedding_type": "positional",
+  "timestep_post_act": null,
+  "transformer_layers_per_block": 1,
+  "up_block_types": [
+    "UpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

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