End of training

README.md

@@ -29,4 +29,4 @@ These are the key hyperparameters used during training:
 * Mixed-precision: fp16
 
 
-More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/wearesameasyou/vae-fine-tune/runs/n40ygajp).
+More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/wearesameasyou/vae-fine-tune/runs/m1s1jrio).

config.json

@@ -0,0 +1,28 @@
+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.30.2",
+  "act_fn": "silu",
+  "block_out_channels": [
+    64
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D"
+  ],
+  "force_upcast": true,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "latents_mean": null,
+  "latents_std": null,
+  "layers_per_block": 1,
+  "mid_block_add_attention": true,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 32,
+  "scaling_factor": 0.18215,
+  "shift_factor": null,
+  "up_block_types": [
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": true,
+  "use_quant_conv": true
+}

diffusion_pytorch_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c3507df329cea9b2c2360c20e48ba526432221409ab237d2f6d0612cf27f557
+size 2262204