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lora-trained-xl-colab

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End of training

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Files changed (20) hide show
  1. README.md +23 -0
  2. logs/dreambooth-lora-sd-xl/1692045132.3857844/events.out.tfevents.1692045132.7a06e1b43138.5621.1 +3 -0
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  14. logs/dreambooth-lora-sd-xl/events.out.tfevents.1692045132.7a06e1b43138.5621.0 +3 -0
  15. logs/dreambooth-lora-sd-xl/events.out.tfevents.1692045351.7a06e1b43138.6961.0 +3 -0
  16. logs/dreambooth-lora-sd-xl/events.out.tfevents.1692045599.7a06e1b43138.8016.0 +3 -0
  17. logs/dreambooth-lora-sd-xl/events.out.tfevents.1692046623.7a06e1b43138.12257.0 +3 -0
  18. logs/dreambooth-lora-sd-xl/events.out.tfevents.1692047123.7a06e1b43138.14383.0 +3 -0
  19. logs/dreambooth-lora-sd-xl/events.out.tfevents.1692048283.7a06e1b43138.19276.0 +3 -0
  20. pytorch_lora_weights.bin +3 -0
README.md ADDED
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+
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+ ---
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+ license: openrail++
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: a photo of rajeshalla
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-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 - RajeshAlla/lora-trained-xl-colab
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+
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photo of rajeshalla 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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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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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: 717
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+ class_prompt: null
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+ crops_coords_top_left_h: 0
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+ dataloader_num_workers: 0
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+ enable_xformers_memory_efficient_attention: true
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+ gradient_accumulation_steps: 2
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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: imagesra
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+ instance_prompt: a photo of rajeshalla
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+ learning_rate: 0.0001
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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: 500
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+ mixed_precision: fp16
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+ num_class_images: 100
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+ num_train_epochs: 167
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+ num_validation_images: 4
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+ output_dir: lora-trained-xl-colab
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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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: 1024
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+ sample_batch_size: 4
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+ scale_lr: false
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+ seed: 0
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+ train_batch_size: 2
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+ use_8bit_adam: true
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+ validation_epochs: 50
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+ adam_beta1: 0.9
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+ adam_epsilon: 1.0e-08
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ mixed_precision: fp16
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+ num_class_images: 100
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+ num_train_epochs: 167
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+ num_validation_images: 4
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+ output_dir: lora-trained-xl-colab
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+ num_train_epochs: 167
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+ num_validation_images: 4
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+ output_dir: lora-trained-xl-colab
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+ num_train_epochs: 167
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+ num_validation_images: 4
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+ output_dir: lora-trained-xl-colab
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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