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model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.18.0.dev0",
+  "force_zeros_for_empty_prompt": true,
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+{
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+  "_diffusers_version": "0.18.0.dev0",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
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+  "clip_sample": false,
+  "clip_sample_range": 1.0,
+  "dynamic_thresholding_ratio": 0.995,
+  "interpolation_type": "linear",
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "rescale_betas_zero_snr": false,
+  "sample_max_value": 1.0,
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "thresholding": false,
+  "timestep_spacing": "leading",
+  "trained_betas": null,
+  "use_karras_sigmas": false
+}

sd_xl_base_0.9.safetensors

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text_encoder/config.json

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+{
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+  "model_type": "clip_text_model",
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+  "projection_dim": 768,
+  "torch_dtype": "float16",
+  "transformers_version": "4.31.0.dev0",
+  "vocab_size": 49408
+}

text_encoder/model.fp16.safetensors

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text_encoder_2/config.json

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+{
+  "_name_or_path": "./text_encoder_2",
+  "architectures": [
+    "CLIPTextModelWithProjection"
+  ],
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+  "projection_dim": 1280,
+  "torch_dtype": "float16",
+  "transformers_version": "4.31.0.dev0",
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+}

text_encoder_2/model.fp16.safetensors

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tokenizer/special_tokens_map.json

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+{
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+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer/tokenizer_config.json

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+{
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+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
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+    "lstrip": false,
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+}

tokenizer_2/special_tokens_map.json

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+}

tokenizer_2/tokenizer_config.json

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+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

unet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.18.0.dev0",
+  "_name_or_path": "./unet",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
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+  "conv_out_kernel": 3,
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+  "cross_attention_norm": null,
+  "down_block_types": [
+    "DownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
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+  "dual_cross_attention": false,
+  "encoder_hid_dim": null,
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+  "num_class_embeds": null,
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+  "out_channels": 4,
+  "projection_class_embeddings_input_dim": 2816,
+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 128,
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+  "time_embedding_type": "positional",
+  "timestep_post_act": null,
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+    "CrossAttnUpBlock2D",
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+  "upcast_attention": false,
+  "use_linear_projection": true
+}

unet/diffusion_pytorch_model.fp16.safetensors

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vae/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.18.0.dev0",
+  "_name_or_path": "./vae",
+  "act_fn": "silu",
+  "block_out_channels": [
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+  "up_block_types": [
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+  ]
+}

vae/diffusion_pytorch_model.fp16.safetensors

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