End of training
Browse files- README.md +2 -2
- logs/dreambooth/1699936561.3389697/events.out.tfevents.1699936561.eefe45aef0fd.9620.1 +3 -0
- logs/dreambooth/1699936561.3461905/hparams.yml +59 -0
- logs/dreambooth/events.out.tfevents.1699936561.eefe45aef0fd.9620.0 +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: runwayml/stable-diffusion-v1-5
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instance_prompt: a photo of
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - sally9805/doge_pp_low_lr_v15
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This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of
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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: runwayml/stable-diffusion-v1-5
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instance_prompt: a photo of doge dog
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - sally9805/doge_pp_low_lr_v15
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This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of doge dog using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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logs/dreambooth/1699936561.3389697/events.out.tfevents.1699936561.eefe45aef0fd.9620.1
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version https://git-lfs.github.com/spec/v1
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size 2865
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logs/dreambooth/1699936561.3461905/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: ./dogs
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class_labels_conditioning: null
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class_prompt: a photo of dog
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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: ./train_images
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instance_prompt: a photo of doge dog
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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: 300
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 3
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num_validation_images: 4
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offset_noise: false
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output_dir: doge_pp_low_lr_v15
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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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: 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.1699936561.eefe45aef0fd.9620.0
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text_encoder/model.safetensors
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unet/diffusion_pytorch_model.safetensors
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