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text_encoder/config.json

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+{
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+    "CLIPTextModel"
+  ],
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+  "model_type": "clip_text_model",
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+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "vocab_size": 49408
+}

text_encoder/pytorch_model.bin

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text_encoder_2/config.json

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+{
+  "architectures": [
+    "CLIPTextModelWithProjection"
+  ],
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+  "bos_token_id": 0,
+  "dropout": 0.0,
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+  "layer_norm_eps": 1e-05,
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+  "model_type": "clip_text_model",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 32,
+  "pad_token_id": 1,
+  "projection_dim": 1280,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "vocab_size": 49408
+}

text_encoder_2/pytorch_model.bin

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unet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.25.0",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
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+  "attention_head_dim": [
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+  "dropout": 0.0,
+  "dual_cross_attention": false,
+  "encoder_hid_dim": null,
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+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
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+  "use_linear_projection": true
+}

unet/diffusion_pytorch_model.bin

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vae/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.25.0",
+  "act_fn": "silu",
+  "block_out_channels": [
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+  "down_block_types": [
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+  "force_upcast": true,
+  "in_channels": 3,
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+  "scaling_factor": 0.13025,
+  "up_block_types": [
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+    "UpDecoderBlock2D",
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+}

vae/diffusion_pytorch_model.bin

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