End of training
Browse files- README.md +22 -0
- feature_extractor/preprocessor_config.json +27 -0
- logs/dreambooth/1707914636.4779131/events.out.tfevents.1707914636.cudahpc06.1605902.1 +3 -0
- logs/dreambooth/1707914636.4796612/hparams.yml +60 -0
- logs/dreambooth/events.out.tfevents.1707914636.cudahpc06.1605902.0 +3 -0
- model_index.json +38 -0
- scheduler/scheduler_config.json +15 -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 +32 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1-base
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instance_prompt: a photo of sks person
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- dreambooth
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inference: true
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---
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# DreamBooth - SidXXD/aiti_db-real_person_1
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This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. The weights were trained on a photo of sks person using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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DreamBooth for the text encoder was enabled: False.
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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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logs/dreambooth/1707914636.4779131/events.out.tfevents.1707914636.cudahpc06.1605902.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:665ae52e1c9508ffcee5798ed03a754d8eceab89a8fe240cacd76279bf2e1b07
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size 2840
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logs/dreambooth/1707914636.4796612/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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allow_tf32: false
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center_crop: false
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checkpointing_steps: 500
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checkpoints_total_limit: null
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class_data_dir: null
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class_labels_conditioning: null
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class_prompt: null
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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instance_data_dir: /home/xide/miniconda3/code/Attack/Anti-DreamBooth/data/test-1/set_B
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instance_prompt: a photo of sks person
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learning_rate: 5.0e-06
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 400
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 100
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num_validation_images: 4
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offset_noise: false
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output_dir: ../model/aiti_db-real_person_1/
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
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prior_generation_precision: null
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prior_loss_weight: 1.0
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push_to_hub: true
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report_to: tensorboard
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resolution: 512
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resume_from_checkpoint: null
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revision: null
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sample_batch_size: 4
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scale_lr: false
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seed: null
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set_grads_to_none: false
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skip_save_text_encoder: false
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snr_gamma: null
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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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tokenizer_name: null
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: false
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validation_prompt: null
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validation_scheduler: DPMSolverMultistepScheduler
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validation_steps: 100
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variant: null
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with_prior_preservation: false
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logs/dreambooth/events.out.tfevents.1707914636.cudahpc06.1605902.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8c8da8f868dc856f5aa19e7cbc9bec00316b9c8ffaa89c2213cdcea31677ae8
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size 33434
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model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.24.0.dev0",
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"_name_or_path": "stabilityai/stable-diffusion-2-1-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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"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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"PNDMScheduler"
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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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scheduler/scheduler_config.json
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{
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"_class_name": "PNDMScheduler",
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"_diffusers_version": "0.24.0.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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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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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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}
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text_encoder/config.json
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{
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"_name_or_path": "stabilityai/stable-diffusion-2-1-base",
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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": "float32",
|
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"transformers_version": "4.37.2",
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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 sha256:67e013543d4fac905c882e2993d86a2d454ee69dc9e8f37c0c23d33a48959d15
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size 1361596304
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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": 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/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": "0.24.0.dev0",
|
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"_name_or_path": "stabilityai/stable-diffusion-2-1-base",
|
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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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