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result_model

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
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End of training

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Files changed (14) hide show
  1. README.md +21 -0
  2. logs/dreambooth-lora/1699510009.6412914/events.out.tfevents.1699510009.HealthCloud.19000.1 +3 -0
  3. logs/dreambooth-lora/1699510009.643292/hparams.yml +55 -0
  4. logs/dreambooth-lora/events.out.tfevents.1699510009.HealthCloud.19000.0 +3 -0
  5. logs/dreambooth/1699508441.525066/events.out.tfevents.1699508441.HealthCloud.20876.1 +3 -0
  6. logs/dreambooth/1699508441.5269382/hparams.yml +59 -0
  7. logs/dreambooth/1699509204.683797/events.out.tfevents.1699509204.HealthCloud.28592.1 +3 -0
  8. logs/dreambooth/1699509204.6857977/hparams.yml +59 -0
  9. logs/dreambooth/1699509819.7014139/events.out.tfevents.1699509819.HealthCloud.14060.1 +3 -0
  10. logs/dreambooth/1699509819.7033708/hparams.yml +59 -0
  11. logs/dreambooth/events.out.tfevents.1699508441.HealthCloud.20876.0 +3 -0
  12. logs/dreambooth/events.out.tfevents.1699509204.HealthCloud.28592.0 +3 -0
  13. logs/dreambooth/events.out.tfevents.1699509819.HealthCloud.14060.0 +3 -0
  14. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+
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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 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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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA DreamBooth - cornpip/result_model
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+
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+
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+ LoRA for the text encoder was enabled: False.
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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: ./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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+ output_dir: ./result_model
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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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+ rank: 4
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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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+ 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_epochs: 50
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+ validation_prompt: null
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+ with_prior_preservation: false
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+ adam_beta1: 0.9
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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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+ 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: ./result_model
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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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+ report_to: tensorboard
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+ adam_epsilon: 1.0e-08
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ max_grad_norm: 1.0
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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: ./result_model
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+ pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ lr_num_cycles: 1
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