Push model using huggingface_hub.
Browse files- README.md +16 -0
- config.json +55 -0
- feature_extractor/preprocessor_config.json +27 -0
- model_index.json +38 -0
- pytorch_lora_weights.safetensors +3 -0
- scheduler/scheduler_config.json +20 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +38 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +73 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +38 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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license: apache-2.0
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tags:
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- trl
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- ddpo
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- diffusers
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- reinforcement-learning
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- text-to-image
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- stable-diffusion
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---
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# TRL DDPO Model
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This is a diffusion model that has been fine-tuned with reinforcement learning to
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guide the model outputs according to a value, function, or human feedback. The model can be used for image generation conditioned with text.
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config.json
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{
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"accelerator_kwargs": {},
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"allow_tf32": true,
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"async_reward_computation": false,
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"data_folder": "./inputs/An_extremely_Asian_girl_verlarge/",
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"exp_name": "ddpo",
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"global_step": 0,
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"log_with": "wandb",
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"logdir": "ll",
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"max_workers": 2,
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"mixed_precision": "fp16",
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"negative_prompts": "",
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"negative_reward": 50.0,
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"num_checkpoint_limit": 10,
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"num_epochs": 10,
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"offpolicy_sample_batch_size": 1,
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"per_prompt_stat_tracking": true,
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"per_prompt_stat_tracking_buffer_size": 32,
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"per_prompt_stat_tracking_min_count": 16,
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"positive_reward": 100.0,
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"project_kwargs": {
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"automatic_checkpoint_naming": true,
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"logging_dir": "./outputs/logs",
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"project_dir": "./outputs/",
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"total_limit": 5
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},
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"resolution": 512,
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"resume_from": "",
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"run_name": "",
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"sample_batch_size": 3,
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"sample_eta": 1.0,
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"sample_guidance_scale": 5.0,
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"sample_num_batches_per_epoch": 1,
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"sample_num_steps": 50,
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"save_freq": 200,
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"seed": 6789,
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"show_image_log": false,
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"tracker_kwargs": {},
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"tracker_project_name": "stable_diffusion_training",
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"train_adam_beta1": 0.9,
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"train_adam_beta2": 0.999,
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"train_adam_epsilon": 1e-08,
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"train_adam_weight_decay": 0.0001,
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"train_adv_clip_max": 5,
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"train_batch_size": 3,
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"train_cfg": true,
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"train_clip_range": 0.0001,
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"train_gradient_accumulation_steps": 1,
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"train_learning_rate": 0.0003,
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"train_max_grad_norm": 1.0,
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"train_mode": "contrastive",
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"train_num_inner_epochs": 1,
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"train_timestep_fraction": 1.0,
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"train_use_8bit_adam": false
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}
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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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"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": "StableDiffusionPipeline",
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"_diffusers_version": "0.30.3",
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"_name_or_path": "stabilityai/stable-diffusion-2-1",
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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],
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"image_encoder": [
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null,
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null
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],
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"requires_safety_checker": false,
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"safety_checker": [
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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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"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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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3620a451086963e4324ccd1806c6c00b10831ea0d069c715a8ac0a6e2864820
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size 3357296
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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": "0.30.3",
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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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"prediction_type": "v_prediction",
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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": false,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"thresholding": false,
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"timestep_spacing": "leading",
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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": "/root/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/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": "gelu",
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"hidden_size": 1024,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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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": 16,
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"num_hidden_layers": 23,
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"pad_token_id": 1,
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"projection_dim": 512,
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"torch_dtype": "float16",
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"transformers_version": "4.45.2",
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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:bc1827c465450322616f06dea41596eac7d493f4e95904dcb51f0fc745c4e13f
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size 680820392
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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": "!",
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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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"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": true
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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": true,
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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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},
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": false,
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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/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": "0.30.3",
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"_name_or_path": "/root/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/unet",
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+
"act_fn": "silu",
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+
"addition_embed_type": null,
|
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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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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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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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": 1024,
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"cross_attention_norm": null,
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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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vae/config.json
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