End of training
Browse files- README.md +25 -0
- checkpoint-50/optimizer.bin +3 -0
- checkpoint-50/pytorch_lora_weights.safetensors +3 -0
- checkpoint-50/random_states_0.pkl +3 -0
- checkpoint-50/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- logs/dreambooth-lora/1707287207.1609907/events.out.tfevents.1707287207.ai2.32698.1 +3 -0
- logs/dreambooth-lora/1707287207.2872806/hparams.yml +56 -0
- logs/dreambooth-lora/events.out.tfevents.1707287207.ai2.32698.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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instance_prompt: a photo of sks dog
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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 - danaleee/CL
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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checkpoint-50/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9dc830426ed6ab71f99462d0a2652ec1453a43142862d48205ade6a5a27edd1c
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size 6592122
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checkpoint-50/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d282b0c17ea202ebe469babcea9faa2b647b80c227098385f0b2b2ebc426f8b
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size 3226184
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checkpoint-50/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:5366103069d8c2f469d674f29e8cfb19b4cf1c9a763b88c8e86071a80ffc4c38
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size 16036
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checkpoint-50/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e440cace6589de6c72ad2cf84b033c31b67b56f5f593fdfc467c84dd99ca645
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size 1000
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image_0.png
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image_1.png
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image_2.png
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image_3.png
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logs/dreambooth-lora/1707287207.1609907/events.out.tfevents.1707287207.ai2.32698.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:36baa73f49830d090fbb1267b30fd61838c8799cdfb426be3374bd2adf4f43c0
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size 2720
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logs/dreambooth-lora/1707287207.2872806/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: 50
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checkpoints_total_limit: null
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class_data_dir: null
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class_labels_conditioning: 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: /d1/daeun/diffusers/cyw_data/dog/
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instance_prompt: a photo of sks dog
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learning_rate: 0.0001
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local_rank: 0
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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: 50
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 25
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num_validation_images: 4
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output_dir: /d1/daeun/diffusers/examples/dreambooth/exp/CL/
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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prior_generation_precision: null
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prior_loss_weight: 1.0
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push_to_hub: true
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rank: 4
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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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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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tokenizer_name: null
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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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validation_epochs: 50
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validation_prompt: a photo of sks dog oil painting ghibli inspired
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variant: null
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with_prior_preservation: false
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logs/dreambooth-lora/events.out.tfevents.1707287207.ai2.32698.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:222628f58ad08ceae0a85cb9abd4aeebd6704ec79e72066d3c210415c6968363
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size 3733820
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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 sha256:7d282b0c17ea202ebe469babcea9faa2b647b80c227098385f0b2b2ebc426f8b
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size 3226184
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