davidi-bria
commited on
Commit
•
b679900
1
Parent(s):
10bced2
try fix 2
Browse files- model_index.json +0 -42
- scheduler/scheduler_config.json +0 -21
- text_encoder/config.json +0 -25
- text_encoder/model.safetensors +0 -3
- text_encoder_2/config.json +0 -25
- text_encoder_2/model.safetensors +0 -3
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +0 -24
- tokenizer/tokenizer_config.json +0 -30
- tokenizer/vocab.json +0 -0
- tokenizer_2/merges.txt +0 -0
- tokenizer_2/special_tokens_map.json +0 -24
- tokenizer_2/tokenizer_config.json +0 -38
- tokenizer_2/vocab.json +0 -0
- unet/config.json +0 -73
- unet/diffusion_pytorch_model.safetensors +0 -3
- vae/config.json +0 -32
- vae/diffusion_pytorch_model.safetensors +0 -3
model_index.json
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{
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"_class_name": "StableDiffusionXLGaiaPipeline",
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"_diffusers_version": "0.25.0",
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"_name_or_path": "/mnt/models/tailored_generation_bria23/stable_diffusion_xl",
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"feature_extractor": [
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null,
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null
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],
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"force_zeros_for_empty_prompt": true,
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"image_encoder": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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"LCMScheduler"
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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": "LCMScheduler",
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"_diffusers_version": "0.25.0",
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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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"clip_sample_range": 1.0,
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"dynamic_thresholding_ratio": 0.995,
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"num_train_timesteps": 1000,
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"original_inference_steps": 50,
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"prediction_type": "epsilon",
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"rescale_betas_zero_snr": false,
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"sample_max_value": 1.0,
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"set_alpha_to_one": true,
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"steps_offset": 1,
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"thresholding": false,
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"timestep_scaling": 10.0,
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"timestep_spacing": "linspace",
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"trained_betas": null
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}
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text_encoder/config.json
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{
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"_name_or_path": "/mnt/models/tailored_generation_bria23/stable_diffusion_xl/text_encoder",
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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": "4.40.1",
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"vocab_size": 49408
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}
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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 sha256:660c6f5b1abae9dc498ac2d21e1347d2abdb0cf6c0c0c8576cd796491d9a6cdd
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size 246144152
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text_encoder_2/config.json
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{
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"_name_or_path": "/mnt/models/tailored_generation_bria23/stable_diffusion_xl/text_encoder_2",
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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": "4.40.1",
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"vocab_size": 49408
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}
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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:ec310df2af79c318e24d20511b601a591ca8cd4f1fce1d8dff822a356bcdb1f4
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size 1389382176
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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": {
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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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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"pad_token": "<|endoftext|>",
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"unk_token": {
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"content": "<|endoftext|>",
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"normalized": true,
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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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"rstrip": false,
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"single_word": false,
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"special": true
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}
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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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"unk_token": "<|endoftext|>"
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}
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tokenizer/vocab.json
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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": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"single_word": false
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"pad_token": "!",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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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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"special": true
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"rstrip": false,
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"special": true
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}
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},
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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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"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": "0.25.0",
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"_name_or_path": "/mnt/models/tailored_generation_bria23/stable_diffusion_xl/unet",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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],
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320,
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640,
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1280
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],
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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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"reverse_transformer_layers_per_block": null,
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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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"transformer_layers_per_block": [
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],
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