Epoch 0

README.md

@@ -1,8 +1,8 @@
 ---
-datasets:
-- ylecun/mnist
 language:
 - en
 library_name: diffusers
+datasets:
+- ylecun/mnist
 pipeline_tag: image-to-image
----
+---

logs/train_example/events.out.tfevents.1717957992.federatedlearning.3567175.0

@@ -0,0 +1,3 @@
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model_index.json

@@ -6,7 +6,7 @@
     "DDPMScheduler"
   ],
   "unet": [
-    null,
-    null
+    "diffusers",
+    "UNet2DModel"
   ]
 }

unet/config.json

@@ -0,0 +1,42 @@
+{
+  "_class_name": "UNet2DModel",
+  "_diffusers_version": "0.28.0",
+  "act_fn": "silu",
+  "add_attention": true,
+  "attention_head_dim": 8,
+  "attn_norm_num_groups": null,
+  "block_out_channels": [
+    32,
+    64,
+    64
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "down_block_types": [
+    "DownBlock2D",
+    "AttnDownBlock2D",
+    "AttnDownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "downsample_type": "conv",
+  "dropout": 0.0,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 1,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_class_embeds": 10,
+  "num_train_timesteps": null,
+  "out_channels": 1,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 32,
+  "time_embedding_type": "positional",
+  "up_block_types": [
+    "AttnUpBlock2D",
+    "AttnUpBlock2D",
+    "UpBlock2D"
+  ],
+  "upsample_type": "conv"
+}

unet/diffusion_pytorch_model.safetensors

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