End of training

README.md

@@ -37,12 +37,12 @@ image.save("my_image.png")
 
 These are the key hyperparameters used during training:
 
-* Epochs: 7
+* Epochs: 1
 * Learning rate: 1e-07
-* Batch size: 8
+* Batch size: 1
 * Gradient accumulation steps: 1
 * Image resolution: 512
 * Mixed-precision: fp16
 
 
-More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/iam-kai-kai/text2image-fine-tune/runs/v2iba1q6).
+More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/iam-kai-kai/text2image-fine-tune/runs/277egfk1).

amazing-logos-v2-batch-16.ckpt

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unet/config.json

@@ -1,7 +1,7 @@
 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.20.0.dev0",
-  "_name_or_path": "sd/amazing-logos-v2/checkpoint-60000",
+  "_name_or_path": "sd/amazing-logos-v2/checkpoint-100000",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,

unet/diffusion_pytorch_model.bin

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