End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-xl-base-0.9
+instance_prompt: A photo of silsam album cover
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA DreamBooth - Shadowcode/IU_album_cover
+
+These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-0.9. The weights were trained on A photo of silsam album cover using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+
+
+
+LoRA for the text encoder was enabled: True.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

checkpoint-1000/optimizer.bin

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checkpoint-1000/random_states_0.pkl

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checkpoint-1000/scaler.pt

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checkpoint-1000/scheduler.bin

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checkpoint-500/optimizer.bin

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logs/dreambooth-lora-sd-xl/1689766108.8497455/events.out.tfevents.1689766108.692e9b7cf4a7.20632.1

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logs/dreambooth-lora-sd-xl/1689766108.851433/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 500
+checkpoints_total_limit: null
+class_data_dir: /opt/ml/stable-diffusion-dreambooth/content/data/album
+class_prompt: A photo of album cover
+crops_coords_top_left_h: 0
+crops_coords_top_left_w: 0
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+hub_model_id: IU_album_cover
+hub_token: null
+instance_data_dir: /opt/ml/stable-diffusion-dreambooth/content/data/silsam
+instance_prompt: A photo of silsam album cover
+learning_rate: 0.0001
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 1000
+mixed_precision: fp16
+num_class_images: 200
+num_train_epochs: 10
+num_validation_images: 4
+output_dir: stable_diffusion_weights/silsam
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-0.9
+pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 2
+scale_lr: false
+seed: 1337
+train_batch_size: 2
+train_text_encoder: true
+use_8bit_adam: false
+validation_epochs: 50
+validation_prompt: null
+with_prior_preservation: true

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pytorch_lora_weights.bin

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