nishant-glance
commited on
Commit
•
44b0d04
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Parent(s):
b0a45b8
End of training
Browse files- README.md +22 -0
- feature_extractor/preprocessor_config.json +28 -0
- logs/dreambooth/1692795412.458912/events.out.tfevents.1692795412.glancefeed-nishant-oli-gpu.29827.1 +3 -0
- logs/dreambooth/1692795412.4604707/hparams.yml +57 -0
- logs/dreambooth/events.out.tfevents.1692795412.glancefeed-nishant-oli-gpu.29827.0 +3 -0
- model_index.json +34 -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 +33 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +71 -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
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instance_prompt: a photo of sks dog
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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 - nishant-glance/path-to-save-model-diffusion-2-1
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This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on a photo of sks dog 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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"feature_extractor_type": "CLIPFeatureExtractor",
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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/1692795412.458912/events.out.tfevents.1692795412.glancefeed-nishant-oli-gpu.29827.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0767e52d49aa285252b59c09fd8156b6d65fe3975d1ef9acdd4673d67a477ab4
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size 2723
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logs/dreambooth/1692795412.4604707/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/jupyter/src/spaces-wallpaper/dog
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instance_prompt: a photo of sks dog
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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: 80
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num_validation_images: 4
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offset_noise: false
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output_dir: path-to-save-model-diffusion-2-1
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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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: 768
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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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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_steps: 100
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with_prior_preservation: false
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logs/dreambooth/events.out.tfevents.1692795412.glancefeed-nishant-oli-gpu.29827.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:53de7b59e57af57f0ed732190b34ffc6c1543e1c8e88f838e8b02e2af2e483a7
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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": "0.21.0.dev0",
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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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"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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scheduler/scheduler_config.json
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{
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"_class_name": "DDIMScheduler",
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"_diffusers_version": "0.21.0.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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"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": "stabilityai/stable-diffusion-2-1",
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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": "4.32.0",
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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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"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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"clean_up_tokenization_spaces": true,
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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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"pad_token": "<|endoftext|>",
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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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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.21.0.dev0",
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"_name_or_path": "stabilityai/stable-diffusion-2-1",
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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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