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diff --git a/README.md b/README.md
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+
+---
+license: creativeml-openrail-m
+base_model: google/ddpm-cifar10-32
+tags:
+- consistency models
+- diffusers
+inference: true
+---
+    
+# Consistency Model - ayushtues/cifar10-32
+
+This is a consistency model distilled from google/ddpm-cifar10-32.
+You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+![img_4](./image_4.png)
+![img_5](./image_5.png)
+![img_6](./image_6.png)
+![img_7](./image_7.png)
+![img_8](./image_8.png)
+![img_9](./image_9.png)
+![img_10](./image_10.png)
+![img_11](./image_11.png)
+![img_12](./image_12.png)
+![img_13](./image_13.png)
+![img_14](./image_14.png)
+![img_15](./image_15.png)
+
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+{
+  "_class_name": "UNet2DModel",
+  "_diffusers_version": "0.18.0.dev0",
+  "act_fn": "silu",
+  "add_attention": true,
+  "attention_head_dim": 8,
+  "block_out_channels": [
+    32,
+    64
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "decay": 0.9999,
+  "down_block_types": [
+    "ResnetDownsampleBlock2D",
+    "AttnDownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "downsample_type": "resnet",
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 3,
+  "inv_gamma": 1.0,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "min_decay": 0.0,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_class_embeds": 1000,
+  "optimization_step": 500,
+  "out_channels": 3,
+  "power": 0.75,
+  "resnet_time_scale_shift": "scale_shift",
+  "sample_size": 32,
+  "time_embedding_type": "positional",
+  "up_block_types": [
+    "AttnUpBlock2D",
+    "ResnetUpsampleBlock2D"
+  ],
+  "update_after_step": 0,
+  "upsample_type": "resnet",
+  "use_ema_warmup": true
+}
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