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Browse files- README.md +17 -0
- logs/dreambooth-lora/1675618873.2115545/events.out.tfevents.1675618873.s-mbz-lora-dreambooth-training-ui-f0306-7dd69d5868-drl6d.174.1 +3 -0
- logs/dreambooth-lora/1675618873.2133172/hparams.yml +48 -0
- logs/dreambooth-lora/events.out.tfevents.1675618873.s-mbz-lora-dreambooth-training-ui-f0306-7dd69d5868-drl6d.174.0 +3 -0
- train.sh +1 -0
README.md
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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: yarosnnv
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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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# LoRA DreamBooth - yarosnnv
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These are LoRA adaption weights for [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5). The weights were trained on the instance prompt "yarosnnv" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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logs/dreambooth-lora/1675618873.2115545/events.out.tfevents.1675618873.s-mbz-lora-dreambooth-training-ui-f0306-7dd69d5868-drl6d.174.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:18be0514866096ed39e663d2e96b85529bd1c590c01bf0aba2e2df156f987793
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size 2372
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logs/dreambooth-lora/1675618873.2133172/hparams.yml
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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: 200
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class_data_dir: 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: /home/user/app/training_data/yarosnnv
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instance_prompt: yarosnnv
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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: 1000
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 32
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num_validation_images: 4
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output_dir: /home/user/app/experiments/yarosnnv
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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: false
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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: 0
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tokenizer_name: null
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train_batch_size: 1
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use_8bit_adam: false
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validation_epochs: 100
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validation_prompt: yarosnnv
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with_prior_preservation: false
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logs/dreambooth-lora/events.out.tfevents.1675618873.s-mbz-lora-dreambooth-training-ui-f0306-7dd69d5868-drl6d.174.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c73d8b9d6bbbec2a75fdb876d26f36fd25c2021929d21c993f9e060838832409
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size 2664
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train.sh
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accelerate launch train_dreambooth_lora.py --pretrained_model_name_or_path=runwayml/stable-diffusion-v1-5 --instance_data_dir=/home/user/app/training_data/yarosnnv --output_dir=/home/user/app/experiments/yarosnnv --instance_prompt="yarosnnv" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=1000 --checkpointing_steps=200 --validation_prompt="yarosnnv" --validation_epochs=100 --seed=0
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