upload model
Browse files- .DS_Store +0 -0
- args.json +59 -0
- model.ckpt +3 -0
- model_index.json +25 -0
- samples/0.png +0 -0
- samples/1.png +0 -0
- samples/2.png +0 -0
- samples/3.png +0 -0
- scheduler/scheduler_config.json +13 -0
- text_encoder/config.json +25 -0
- text_encoder/pytorch_model.bin +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +34 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +41 -0
- vae/config.json +30 -0
- vae/diffusion_pytorch_model.bin +3 -0
.DS_Store
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Binary file (6.15 kB). View file
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args.json
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{
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"pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5",
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"pretrained_vae_name_or_path": "stabilityai/sd-vae-ft-mse",
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"revision": "fp16",
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"tokenizer_name": null,
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"instance_data_dir": null,
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"class_data_dir": null,
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"instance_prompt": null,
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"class_prompt": null,
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"save_sample_prompt": "<fuenPhoto> person facing the camera",
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"save_sample_negative_prompt": null,
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"n_save_sample": 4,
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"save_guidance_scale": 7.5,
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"save_infer_steps": 50,
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"pad_tokens": false,
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"with_prior_preservation": true,
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"prior_loss_weight": 1.0,
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"num_class_images": 50,
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"output_dir": "/content/drive/MyDrive/stable_diffusion_weights/photorealistic",
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"seed": 1337,
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"resolution": 512,
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"center_crop": false,
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"train_text_encoder": true,
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"train_batch_size": 1,
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"sample_batch_size": 4,
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"num_train_epochs": 40,
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"max_train_steps": 2000,
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"gradient_accumulation_steps": 1,
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"gradient_checkpointing": false,
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"learning_rate": 1e-06,
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"scale_lr": false,
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"lr_scheduler": "constant",
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"lr_warmup_steps": 0,
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"use_8bit_adam": true,
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"adam_beta1": 0.9,
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"adam_beta2": 0.999,
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"adam_weight_decay": 0.01,
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"adam_epsilon": 1e-08,
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"max_grad_norm": 1.0,
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"push_to_hub": false,
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"hub_token": null,
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"hub_model_id": null,
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"logging_dir": "logs",
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"log_interval": 10,
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"save_interval": 500,
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"save_min_steps": 0,
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"mixed_precision": "fp16",
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"not_cache_latents": false,
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"hflip": false,
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"local_rank": -1,
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"concepts_list": [
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{
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"instance_prompt": "<fuenPhoto> portrait of a person",
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"class_prompt": "photo portrait of a person",
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"instance_data_dir": "/content/data/training_data",
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"class_data_dir": "/content/data/photo_portrait_person"
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}
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]
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}
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model.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f203122c85669b807f639c5b9e4d52c870028d90941ec68a9878dfce2da9f878
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size 2132856622
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model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.9.0",
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"requires_safety_checker": false,
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"scheduler": [
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"diffusers",
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"DDIMScheduler"
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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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"tokenizer": [
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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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samples/0.png
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samples/1.png
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samples/2.png
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samples/3.png
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scheduler/scheduler_config.json
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{
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"_class_name": "DDIMScheduler",
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"_diffusers_version": "0.9.0",
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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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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"set_alpha_to_one": false,
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"steps_offset": 1,
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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": "runwayml/stable-diffusion-v1-5",
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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": "float32",
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"transformers_version": "4.25.1",
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"vocab_size": 49408
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}
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text_encoder/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e174e8500a32154704220dd3784b5189736939b602c9cc9f6810798fb7df75dd
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size 492308087
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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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},
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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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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|endoftext|>",
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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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"rstrip": false,
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"single_word": false
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}
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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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"bos_token": {
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"__type": "AddedToken",
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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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},
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"do_lower_case": true,
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"eos_token": {
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"__type": "AddedToken",
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"content": "<|endoftext|>",
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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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},
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"errors": "replace",
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"model_max_length": 77,
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"name_or_path": "/root/.cache/huggingface/diffusers/models--runwayml--stable-diffusion-v1-5/snapshots/1da985e285b551a1331a7ce98bb4179af6d18df4/tokenizer",
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"pad_token": "<|endoftext|>",
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"special_tokens_map_file": "./special_tokens_map.json",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<|endoftext|>",
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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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}
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}
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tokenizer/vocab.json
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The diff for this file is too large to render.
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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.9.0",
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"act_fn": "silu",
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"attention_head_dim": 8,
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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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1280
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],
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"center_input_sample": false,
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"cross_attention_dim": 768,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dual_cross_attention": false,
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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_scale_factor": 1,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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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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"sample_size": 64,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
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"use_linear_projection": false
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}
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.9.0",
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"_name_or_path": "stabilityai/sd-vae-ft-mse",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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256,
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512,
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512
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],
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"down_block_types": [
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D"
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],
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"in_channels": 3,
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"latent_channels": 4,
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"layers_per_block": 2,
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"norm_num_groups": 32,
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"out_channels": 3,
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"sample_size": 256,
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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]
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}
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vae/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b4889b6b1d4ce7ae320a02dedaeff1780ad77d415ea0d744b476155c6377ddc
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size 334707217
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