Push model using huggingface_hub.

README.md

@@ -1,9 +1,9 @@
 ---
+pipeline_tag: image-to-image
 tags:
+- model_hub_mixin
 - bird
 - pytorch_model_hub_mixin
-- model_hub_mixin
-pipeline_tag: image-to-image
 ---
 
 This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:

config.json

@@ -0,0 +1,52 @@
+{
+  "data": {
+    "category": "",
+    "channels": 3,
+    "dataset": "CelebA_HQ",
+    "gaussian_dequantization": false,
+    "image_size": 256,
+    "logit_transform": false,
+    "num_workers": 32,
+    "out_of_dist": false,
+    "random_flip": true,
+    "rescaled": true,
+    "uniform_dequantization": false
+  },
+  "diffusion": {
+    "beta_end": 0.02,
+    "beta_schedule": "linear",
+    "beta_start": 0.0001,
+    "num_diffusion_timesteps": 1000
+  },
+  "model": {
+    "attn_resolutions": [
+      16
+    ],
+    "ch": 128,
+    "ch_mult": [
+      1,
+      1,
+      2,
+      2,
+      4,
+      4
+    ],
+    "dropout": 0.0,
+    "ema": true,
+    "ema_rate": 0.999,
+    "in_channels": 3,
+    "num_res_blocks": 2,
+    "out_ch": 3,
+    "resamp_with_conv": true,
+    "type": "simple",
+    "var_type": "fixedsmall"
+  },
+  "sampling": {
+    "batch_size": 1
+  },
+  "time_travel": {
+    "T_sampling": 100,
+    "travel_length": 1,
+    "travel_repeat": 1
+  }
+}