Duplicate from ayushtues/consistency_models

Co-authored-by: Ayush Mangal <ayushtues@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+duplicated_from: ayushtues/consistency_models
+---

diffusers_cd_imagenet64_l2/config.json

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+{
+  "_class_name": "UNet2DModel",
+  "_diffusers_version": "0.17.0.dev0",
+  "act_fn": "silu",
+  "add_attention": true,
+  "attention_head_dim": 64,
+  "block_out_channels": [
+    192,
+    384,
+    576,
+    768
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "down_block_types": [
+    "ResnetDownsampleBlock2D",
+    "AttnDownsampleBlock2D",
+    "AttnDownsampleBlock2D",
+    "AttnDownsampleBlock2D"
+  ],
+  "downsample_padding": 1,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 3,
+  "layers_per_block": 3,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_class_embeds": 1000,
+  "out_channels": 3,
+  "resnet_time_scale_shift": "scale_shift",
+  "sample_size": 64,
+  "time_embedding_type": "positional",
+  "up_block_types": [
+    "AttnUpsampleBlock2D",
+    "AttnUpsampleBlock2D",
+    "AttnUpsampleBlock2D",
+    "ResnetUpsampleBlock2D"
+  ]
+}

diffusers_cd_imagenet64_l2/diffusion_pytorch_model.bin

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