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End of training

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  1. README.md +21 -0
  2. logs/dreambooth-lora/1694367071.1558065/events.out.tfevents.1694367071.yamini-X299-UD4-Pro.1455659.1 +3 -0
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  14. logs/dreambooth-lora/1694368873.89002/events.out.tfevents.1694368873.yamini-X299-UD4-Pro.1459573.1 +3 -0
  15. logs/dreambooth-lora/1694368873.897483/hparams.yml +55 -0
  16. logs/dreambooth-lora/1694369044.0619543/events.out.tfevents.1694369044.yamini-X299-UD4-Pro.1460015.1 +3 -0
  17. logs/dreambooth-lora/1694369044.0693135/hparams.yml +55 -0
  18. logs/dreambooth-lora/1694369932.8258948/events.out.tfevents.1694369932.yamini-X299-UD4-Pro.1461434.1 +3 -0
  19. logs/dreambooth-lora/1694369932.828399/hparams.yml +55 -0
  20. logs/dreambooth-lora/events.out.tfevents.1694367071.yamini-X299-UD4-Pro.1455659.0 +3 -0
  21. logs/dreambooth-lora/events.out.tfevents.1694367200.yamini-X299-UD4-Pro.1456138.0 +3 -0
  22. logs/dreambooth-lora/events.out.tfevents.1694367319.yamini-X299-UD4-Pro.1456433.0 +3 -0
  23. logs/dreambooth-lora/events.out.tfevents.1694367615.yamini-X299-UD4-Pro.1457174.0 +3 -0
  24. logs/dreambooth-lora/events.out.tfevents.1694368562.yamini-X299-UD4-Pro.1458681.0 +3 -0
  25. logs/dreambooth-lora/events.out.tfevents.1694368748.yamini-X299-UD4-Pro.1459302.0 +3 -0
  26. logs/dreambooth-lora/events.out.tfevents.1694368873.yamini-X299-UD4-Pro.1459573.0 +3 -0
  27. logs/dreambooth-lora/events.out.tfevents.1694369044.yamini-X299-UD4-Pro.1460015.0 +3 -0
  28. logs/dreambooth-lora/events.out.tfevents.1694369932.yamini-X299-UD4-Pro.1461434.0 +3 -0
  29. 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: CompVis/stable-diffusion-v1-4
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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 - ynimmaga/output
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+
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+ These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. 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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+ dataloader_num_workers: 0
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+ enable_xformers_memory_efficient_attention: false
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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: output
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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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+ rank: 4
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+ report_to: tensorboard
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+ resolution: 512
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+ sample_batch_size: 4
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+ scale_lr: false
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+ train_text_encoder: false
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