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Browse files- README.md +17 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- logs/dreambooth-lora-sd-xl/1711762351.2452538/events.out.tfevents.1711762351.r-amazonaws-sp-b-lora-k7x5xb5a-ea13c-veqc6.2932.1 +3 -0
- logs/dreambooth-lora-sd-xl/1711762351.246933/hparams.yml +69 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1711762351.r-amazonaws-sp-b-lora-k7x5xb5a-ea13c-veqc6.2932.0 +3 -0
- pytorch_lora_weights.safetensors +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: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: TOK
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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 - zekeapi2
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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.
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checkpoint-1000/optimizer.bin
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size 225713466
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checkpoint-1000/pytorch_lora_weights.safetensors
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size 112769968
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scaler.pt
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version https://git-lfs.github.com/spec/v1
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size 988
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checkpoint-1000/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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size 1000
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logs/dreambooth-lora-sd-xl/1711762351.2452538/events.out.tfevents.1711762351.r-amazonaws-sp-b-lora-k7x5xb5a-ea13c-veqc6.2932.1
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version https://git-lfs.github.com/spec/v1
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size 3152
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logs/dreambooth-lora-sd-xl/1711762351.246933/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: 0.0001
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adam_weight_decay_text_encoder: 0.001
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allow_tf32: false
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cache_dir: null
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caption_column: null
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center_crop: false
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checkpointing_steps: 1000
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checkpoints_total_limit: null
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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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dataset_config_name: null
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dataset_name: null
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do_edm_style_training: false
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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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image_column: image
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instance_data_dir: /home/user/app/training_data/zekeapi2
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instance_prompt: TOK
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learning_rate: 0.0004
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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: fp16
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num_class_images: 100
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num_train_epochs: 10
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num_validation_images: 4
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optimizer: AdamW
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output_dir: /home/user/app/experiments/zekeapi2
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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: null
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prior_generation_precision: null
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prior_loss_weight: 1.0
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prodigy_beta3: null
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prodigy_decouple: true
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prodigy_safeguard_warmup: true
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prodigy_use_bias_correction: true
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push_to_hub: false
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random_flip: false
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rank: 64
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repeats: 1
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report_to: tensorboard
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resolution: 1024
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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: 10923
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snr_gamma: null
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text_encoder_lr: 5.0e-06
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: false
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use_dora: false
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validation_epochs: 250
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validation_prompt: A photo of TOK
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variant: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1711762351.r-amazonaws-sp-b-lora-k7x5xb5a-ea13c-veqc6.2932.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a910294c76c89ebcb1df75c5c3c87c3cb357f58a662060643368d1f1eb5d6b3c
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size 108514
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f852315977fb65f7acd74dc34d9599017256452361c877192554d79008b1263
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size 112769968
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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/zekeapi2 --output_dir=/home/user/app/experiments/zekeapi2 --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=1000 --checkpointing_steps=1000 --validation_prompt="A photo of TOK" --validation_epochs=250 --seed=10923 --mixed_precision fp16
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