Adding `diffusers` weights of this model
Browse filesThis PR adds fp32 and fp16 weights in safetensors format to misri/leosamsHelloworldXL_helloworldXL50GPT4V
- model_index.json +33 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +24 -0
- text_encoder/model.fp16.safetensors +3 -0
- text_encoder/model.safetensors +3 -0
- text_encoder_2/config.json +24 -0
- text_encoder_2/model.fp16.safetensors +3 -0
- text_encoder_2/model.safetensors +3 -0
- tokenizer/added_tokens.json +4 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +6 -0
- tokenizer/tokenizer_config.json +32 -0
- tokenizer/vocab.json +0 -0
- tokenizer_2/added_tokens.json +5 -0
- tokenizer_2/merges.txt +0 -0
- tokenizer_2/special_tokens_map.json +6 -0
- tokenizer_2/tokenizer_config.json +40 -0
- tokenizer_2/vocab.json +0 -0
- unet/config.json +71 -0
- unet/diffusion_pytorch_model.fp16.safetensors +3 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +31 -0
- vae/diffusion_pytorch_model.fp16.safetensors +3 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
model_index.json
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.22.0.dev0",
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"force_zeros_for_empty_prompt": true,
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"scheduler": [
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"diffusers",
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"EulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"text_encoder_2": [
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"transformers",
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"CLIPTextModelWithProjection"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"tokenizer_2": [
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"transformers",
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"CLIPTokenizer"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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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": "EulerDiscreteScheduler",
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"_diffusers_version": "0.22.0.dev0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"interpolation_type": "linear",
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"timestep_spacing": "leading",
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"trained_betas": null,
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"use_karras_sigmas": false
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}
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text_encoder/config.json
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{
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.34.0",
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"vocab_size": 49408
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}
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text_encoder/model.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:68933f11b2a63d962090c30e6ef665516a7801d1a2aab7be852febe972d08cc5
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size 246144152
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ee96319e7c40a05765276859794a6b30ed43b2faf10ebe8a687d9b439bfe5f3
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size 492265168
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text_encoder_2/config.json
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{
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"architectures": [
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"CLIPTextModelWithProjection"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_size": 1280,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 20,
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"num_hidden_layers": 32,
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"pad_token_id": 1,
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"projection_dim": 1280,
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"torch_dtype": "float16",
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"transformers_version": "4.34.0",
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"vocab_size": 49408
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}
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text_encoder_2/model.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eff053b34d26c7b22faab49cf7bc90e0253ef1b3b810d064118a77ead1607034
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size 1389382176
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text_encoder_2/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e8447a56fefd7dfc1014784eba5d586a8c953a761359fed23478973b9fe612a
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size 2778702264
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tokenizer/added_tokens.json
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{
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"<|endoftext|>": 49407,
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"<|startoftext|>": 49406
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}
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tokenizer/merges.txt
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tokenizer/special_tokens_map.json
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{
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"bos_token": "<|startoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"49406": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"49407": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": true,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 77,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "CLIPTokenizer",
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"tokenizer_file": "/home/user/.cache/huggingface/hub/models--openai--clip-vit-large-patch14/snapshots/32bd64288804d66eefd0ccbe215aa642df71cc41/tokenizer.json",
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"unk_token": "<|endoftext|>"
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}
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tokenizer/vocab.json
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tokenizer_2/added_tokens.json
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{
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"!": 0,
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"<|endoftext|>": 49407,
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"<|startoftext|>": 49406
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}
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tokenizer_2/merges.txt
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tokenizer_2/special_tokens_map.json
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{
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"bos_token": "<|startoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "!",
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"unk_token": "<|endoftext|>"
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}
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tokenizer_2/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "!",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49406": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"49407": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": true,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 77,
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"pad_token": "!",
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"tokenizer_class": "CLIPTokenizer",
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"tokenizer_file": "/home/user/.cache/huggingface/hub/models--laion--CLIP-ViT-bigG-14-laion2B-39B-b160k/snapshots/bc7788f151930d91b58474715fdce5524ad9a189/tokenizer.json",
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"unk_token": "<|endoftext|>"
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}
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tokenizer_2/vocab.json
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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.22.0.dev0",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": 256,
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"attention_head_dim": [
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5,
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10,
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20
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],
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"attention_type": "default",
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"block_out_channels": [
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320,
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640,
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1280
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 2048,
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"cross_attention_norm": null,
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D"
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],
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"downsample_padding": 1,
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"dropout": 0.0,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": 2816,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"sample_size": 128,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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|
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|
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unet/diffusion_pytorch_model.safetensors
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vae/config.json
ADDED
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
26 |
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|
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|
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|
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vae/diffusion_pytorch_model.fp16.safetensors
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