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README.md

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+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: TOK
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+# LoRA DreamBooth - silvio2o
+
+These are LoRA adaption weights for [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0). The weights were trained on the instance prompt "TOK" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
+
+

checkpoint-10/optimizer.bin

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checkpoint-10/pytorch_lora_weights.safetensors

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checkpoint-10/random_states_0.pkl

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checkpoint-10/scaler.pt

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checkpoint-10/scheduler.bin

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logs/dreambooth-lora-sd-xl/1711751279.6446788/events.out.tfevents.1711751279.r-amazonaws-sp-b-lora-k7x5xb5a-ea13c-veqc6.1911.1

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logs/dreambooth-lora-sd-xl/1711751279.6464524/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.0001
+adam_weight_decay_text_encoder: 0.001
+allow_tf32: false
+cache_dir: null
+caption_column: null
+center_crop: false
+checkpointing_steps: 10
+checkpoints_total_limit: null
+class_data_dir: null
+class_prompt: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: null
+do_edm_style_training: false
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+image_column: image
+instance_data_dir: /home/user/app/training_data/silvio2o
+instance_prompt: TOK
+learning_rate: 0.0004
+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: 10
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 5
+num_validation_images: 4
+optimizer: AdamW
+output_dir: /home/user/app/experiments/silvio2o
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
+pretrained_vae_model_name_or_path: null
+prior_generation_precision: null
+prior_loss_weight: 1.0
+prodigy_beta3: null
+prodigy_decouple: true
+prodigy_safeguard_warmup: true
+prodigy_use_bias_correction: true
+push_to_hub: false
+random_flip: false
+rank: 64
+repeats: 1
+report_to: tensorboard
+resolution: 1024
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 4
+scale_lr: false
+seed: 329
+snr_gamma: null
+text_encoder_lr: 5.0e-06
+train_batch_size: 1
+train_text_encoder: false
+use_8bit_adam: false
+use_dora: false
+validation_epochs: 250
+validation_prompt: A photo of TOK
+variant: null
+with_prior_preservation: false

logs/dreambooth-lora-sd-xl/events.out.tfevents.1711751279.r-amazonaws-sp-b-lora-k7x5xb5a-ea13c-veqc6.1911.0

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pytorch_lora_weights.safetensors

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train.sh

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+accelerate launch train_dreambooth_b-lora_sdxl.py --pretrained_model_name_or_path=stabilityai/stable-diffusion-xl-base-1.0 --instance_data_dir=/home/user/app/training_data/silvio2o --output_dir=/home/user/app/experiments/silvio2o --instance_prompt="TOK" --resolution=1024 --rank=64 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0004 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=10 --checkpointing_steps=10 --validation_prompt="A photo of TOK" --validation_epochs=250 --seed=329 --mixed_precision fp16