Reversorie
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Browse files- README.md +22 -0
- checkpoint-100/custom_checkpoint_0.pkl +3 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_model.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scaler.pt +3 -0
- checkpoint-100/scheduler.bin +3 -0
- logs/dreambooth-lora/1678578414.173294/events.out.tfevents.1678578414.s-reversorie-lora-dreambooth-training-ui-147db-59fc7c8567-dh5bk.87.1 +3 -0
- logs/dreambooth-lora/1678578414.175752/hparams.yml +48 -0
- logs/dreambooth-lora/events.out.tfevents.1678578414.s-reversorie-lora-dreambooth-training-ui-147db-59fc7c8567-dh5bk.87.0 +3 -0
- pytorch_lora_weights.bin +3 -0
- test_images/image_0.png +0 -0
- test_images/image_1.png +0 -0
- test_images/image_2.png +0 -0
- test_images/image_3.png +0 -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-2-1-base
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instance_prompt: fabric design of small flowers
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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 - v1
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These are LoRA adaption weights for [stabilityai/stable-diffusion-2-1-base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base). The weights were trained on the instance prompt "fabric design of small flowers" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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Test prompt: v1
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![image_0](test_images/image_0.png)
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![image_1](test_images/image_1.png)
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![image_2](test_images/image_2.png)
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![image_3](test_images/image_3.png)
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checkpoint-100/custom_checkpoint_0.pkl
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version https://git-lfs.github.com/spec/v1
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size 3418585
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checkpoint-100/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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size 3492869
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checkpoint-100/pytorch_model.bin
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size 3417037
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checkpoint-100/random_states_0.pkl
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size 14599
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checkpoint-100/scaler.pt
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version https://git-lfs.github.com/spec/v1
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size 557
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checkpoint-100/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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size 563
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logs/dreambooth-lora/1678578414.173294/events.out.tfevents.1678578414.s-reversorie-lora-dreambooth-training-ui-147db-59fc7c8567-dh5bk.87.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f550a2c71205ca7136f3357804fe968edec6ad2a911a0a93e28f2d67fd6f3529
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size 2431
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logs/dreambooth-lora/1678578414.175752/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: 100
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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/v1
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instance_prompt: fabric design of small flowers
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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: 100
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 13
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num_validation_images: 4
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output_dir: /home/user/app/experiments/v1
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
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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: 768
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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: true
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validation_epochs: 100
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validation_prompt: v1
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with_prior_preservation: false
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logs/dreambooth-lora/events.out.tfevents.1678578414.s-reversorie-lora-dreambooth-training-ui-147db-59fc7c8567-dh5bk.87.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ff33ca715298f7fc40b1ba3ab494239d8107336216a9f6eb52159672808aa8a
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size 4000621
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pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ea028f482b096107731258a6bc0de48e95a1fbab0330604b0598ec8922ed23d
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size 3418843
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test_images/image_0.png
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test_images/image_1.png
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test_images/image_2.png
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test_images/image_3.png
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train.sh
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accelerate launch train_dreambooth_lora.py --pretrained_model_name_or_path=stabilityai/stable-diffusion-2-1-base --instance_data_dir=/home/user/app/training_data/v1 --output_dir=/home/user/app/experiments/v1 --instance_prompt="fabric design of small flowers" --resolution=768 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=100 --checkpointing_steps=100 --validation_prompt="v1" --validation_epochs=100 --seed=0 --mixed_precision fp16 --use_8bit_adam
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