Duplicate from dg845/unidiffuser-test-v1

Co-authored-by: Daniel Gu <dg845@users.noreply.huggingface.co>

.gitattributes

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+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.gz filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
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+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: apache-2.0
+duplicated_from: dg845/unidiffuser-test-v1
+---
+This checkpoint is a small testing version of the UniDiffuser-v1 model for 32 x 32 images, consisting of small random models for each of the components.
+Please reference the [model card]() for the full UniDiffuser-v1 checkpoint for information about the UniDiffuser model.

clip_tokenizer/merges.txt

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clip_tokenizer/tokenizer_config.json

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image_encoder/config.json

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+{
+  "architectures": [
+    "CLIPVisionModelWithProjection"
+  ],
+  "attention_dropout": 0.1,
+  "dropout": 0.1,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 32,
+  "image_size": 32,
+  "initializer_factor": 1.0,
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+  "intermediate_size": 37,
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+  "model_type": "clip_vision_model",
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "num_hidden_layers": 5,
+  "patch_size": 2,
+  "projection_dim": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1"
+}

image_encoder/pytorch_model.bin

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+size 205628

image_processor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 32,
+    "width": 32
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 32
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+}

model_index.json

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+  "_class_name": "UniDiffuserPipeline",
+  "_diffusers_version": "0.17.0.dev0",
+  "clip_tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "image_encoder": [
+    "transformers",
+    "CLIPVisionModelWithProjection"
+  ],
+  "image_processor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "scheduler": [
+    "diffusers",
+    "DPMSolverMultistepScheduler"
+  ],
+  "text_decoder": [
+    "unidiffuser",
+    "UniDiffuserTextDecoder"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_tokenizer": [
+    "transformers",
+    "GPT2Tokenizer"
+  ],
+  "unet": [
+    "unidiffuser",
+    "UniDiffuserModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+  "_class_name": "DPMSolverMultistepScheduler",
+  "_diffusers_version": "0.17.0.dev0",
+  "algorithm_type": "dpmsolver++",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "dynamic_thresholding_ratio": 0.995,
+  "lambda_min_clipped": -Infinity,
+  "lower_order_final": true,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
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+  "solver_order": 3,
+  "solver_type": "midpoint",
+  "thresholding": false,
+  "trained_betas": null,
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+  "variance_type": null
+}

text_decoder/config.json

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+{
+  "_class_name": "UniDiffuserTextDecoder",
+  "_diffusers_version": "0.15.0.dev0",
+  "_name_or_path": "/home/tamamo/scratch/unidiffuser_test/text_decoder",
+  "activation_function": "gelu",
+  "attn_pdrop": 0.1,
+  "embd_pdrop": 0.1,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "n_embd": 32,
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+  "prefix_hidden_dim": 32,
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+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "use_cache": true,
+  "vocab_size": 1025
+}

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+  "model_type": "clip_text_model",
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+  "projection_dim": 512,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 1000
+}

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text_tokenizer/added_tokens.json

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+}

text_tokenizer/merges.txt

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text_tokenizer/special_tokens_map.json

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