Nazaninmnd
commited on
Commit
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End of training
Browse files- README.md +2 -2
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/scheduler.bin +3 -0
- checkpoint-800/text_encoder/config.json +25 -0
- checkpoint-800/text_encoder/model.safetensors +3 -0
- checkpoint-800/unet/config.json +68 -0
- checkpoint-800/unet/diffusion_pytorch_model.safetensors +3 -0
- logs/dreambooth/1700573284.9239845/events.out.tfevents.1700573284.d5e4dae75bc2.3850.1 +3 -0
- logs/dreambooth/1700573284.9333618/hparams.yml +59 -0
- logs/dreambooth/events.out.tfevents.1700573284.d5e4dae75bc2.3850.0 +3 -0
- text_encoder/model.safetensors +1 -1
- unet/diffusion_pytorch_model.safetensors +1 -1
README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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instance_prompt: a ms photo of human
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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@@ -14,7 +14,7 @@ inference: true
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# DreamBooth - Nazaninmnd/DreamBooth_MediumShot
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This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a ms photo of human using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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instance_prompt: a ms photo of a human
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - Nazaninmnd/DreamBooth_MediumShot
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This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a ms photo of a human using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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checkpoint-800/optimizer.bin
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checkpoint-800/random_states_0.pkl
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checkpoint-800/scheduler.bin
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checkpoint-800/text_encoder/config.json
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{
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"_name_or_path": "CompVis/stable-diffusion-v1-4",
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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": 512,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"vocab_size": 49408
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}
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checkpoint-800/text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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checkpoint-800/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": "CompVis/stable-diffusion-v1-4",
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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": 8,
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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": 768,
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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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"DownBlock2D"
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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": null,
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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": 64,
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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": 1,
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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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"upcast_attention": false,
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"use_linear_projection": false
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}
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checkpoint-800/unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 3438167536
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logs/dreambooth/1700573284.9239845/events.out.tfevents.1700573284.d5e4dae75bc2.3850.1
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version https://git-lfs.github.com/spec/v1
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size 2873
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logs/dreambooth/1700573284.9333618/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: 800
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checkpoints_total_limit: null
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class_data_dir: Human
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class_labels_conditioning: null
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class_prompt: a photo of a human
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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: true
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hub_model_id: null
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hub_token: null
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instance_data_dir: Data/MediumShot
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instance_prompt: a ms photo of a human
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learning_rate: 1.0e-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: 1000
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mixed_precision: null
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num_class_images: 250
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num_train_epochs: 8
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num_validation_images: 4
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offset_noise: false
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output_dir: DreamBooth_MediumShot
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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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: 2
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train_text_encoder: true
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use_8bit_adam: true
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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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with_prior_preservation: true
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logs/dreambooth/events.out.tfevents.1700573284.d5e4dae75bc2.3850.0
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text_encoder/model.safetensors
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unet/diffusion_pytorch_model.safetensors
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