add files
Browse files- feature_extractor/preprocessor_config.json +28 -0
- model_index.json +25 -0
- scheduler/scheduler_config.json +24 -0
- text_encoder/config.json +31 -0
- text_encoder/pytorch_model-00001-of-00002.bin +3 -0
- text_encoder/pytorch_model-00002-of-00002.bin +3 -0
- text_encoder/pytorch_model.bin.index.json +227 -0
- tokenizer/special_tokens_map.json +107 -0
- tokenizer/spiece.model +3 -0
- tokenizer/tokenizer_config.json +112 -0
- unet/config.json +65 -0
- unet/diffusion_pytorch_model.bin +3 -0
feature_extractor/preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "CLIPFeatureExtractor",
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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model_index.json
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{
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"_class_name": "TextToVideoIFPipeline",
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"_diffusers_version": "0.19.1",
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"_name_or_path": "show-1-base",
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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],
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"scheduler": [
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"diffusers",
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"DPMSolverMultistepScheduler"
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],
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"text_encoder": [
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"transformers",
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"T5EncoderModel"
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],
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"tokenizer": [
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"transformers",
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"T5Tokenizer"
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],
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"unet": [
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"showone.models.unet_3d_condition",
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"UNet3DConditionModel"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "DPMSolverMultistepScheduler",
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"_diffusers_version": "0.19.1",
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"algorithm_type": "dpmsolver++",
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"beta_end": 0.02,
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"beta_schedule": "squaredcos_cap_v2",
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"beta_start": 0.0001,
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"clip_sample": true,
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"clip_sample_range": 1.0,
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"dynamic_thresholding_ratio": 0.95,
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"lambda_min_clipped": -5.1,
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"lower_order_final": true,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"sample_max_value": 1.5,
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"solver_order": 2,
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"solver_type": "midpoint",
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"steps_offset": 0,
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"thresholding": true,
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"timestep_spacing": "linspace",
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"trained_betas": null,
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"use_karras_sigmas": false,
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"variance_type": "learned_range"
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}
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text_encoder/config.json
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{
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"_name_or_path": "/mnt/nfs/HDD-30t/models/IF-I-L-v1.0/text_encoder",
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"architectures": [
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"T5EncoderModel"
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],
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"d_ff": 10240,
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"d_kv": 64,
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"d_model": 4096,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"num_decoder_layers": 24,
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"num_heads": 64,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.29.1",
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"use_cache": true,
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"vocab_size": 32128
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}
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text_encoder/pytorch_model-00001-of-00002.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2bb149576a5164f6d46963535d5bfd8e169b6d22bf2e31a6126dbc25be5aaac
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size 9452287259
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text_encoder/pytorch_model-00002-of-00002.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 9597033414
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text_encoder/pytorch_model.bin.index.json
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tokenizer/special_tokens_map.json
ADDED
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unet/diffusion_pytorch_model.bin
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