adrianerrea
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End of training
Browse files- README.md +23 -0
- checkpoint-717/optimizer.bin +3 -0
- checkpoint-717/pytorch_lora_weights.safetensors +3 -0
- checkpoint-717/random_states_0.pkl +3 -0
- checkpoint-717/scheduler.bin +3 -0
- logs/dreambooth-lora-sd-xl/1696321305.4063828/events.out.tfevents.1696321305.adrian-pc.14817.1 +3 -0
- logs/dreambooth-lora-sd-xl/1696321305.4071279/hparams.yml +53 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1696321305.adrian-pc.14817.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: openrail++
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: david man
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-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 - adrianerrea/david_dreambooth
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on david man 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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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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checkpoint-717/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9643a0f4b0dc514836f977366d9af3c7619e6cda1fa668396de128abbd3fe06f
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size 14990599
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checkpoint-717/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88263c1706515241c6b84ce1c0a359b9ed3ee18f180b461f3c9bd7bbfaec52c6
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size 23401064
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checkpoint-717/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c42e3dfd870a5040cb021d48a9b0a0265bee3fcd1d7be9620d6913b9766f47d
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size 14599
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checkpoint-717/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5ee69d7eabd14351b4b897d1a111e1ca52359810ecad91ffa138e41f58fc486
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size 563
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logs/dreambooth-lora-sd-xl/1696321305.4063828/events.out.tfevents.1696321305.adrian-pc.14817.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:837b08e25902404466aa35bfbd43d2249fd629b9a200dfe02ac8bbdb90259f19
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size 2702
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logs/dreambooth-lora-sd-xl/1696321305.4071279/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: 717
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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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crops_coords_top_left_h: 0
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crops_coords_top_left_w: 0
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 2
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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instance_data_dir: ./david/
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instance_prompt: david man
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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: 800
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mixed_precision: 'no'
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num_class_images: 500
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num_train_epochs: 400
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num_validation_images: 4
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output_dir: david_dreambooth
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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: madebyollin/sdxl-vae-fp16-fix
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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: 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: 0
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train_batch_size: 2
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train_text_encoder: false
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use_8bit_adam: true
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validation_epochs: 50
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validation_prompt: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1696321305.adrian-pc.14817.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:84b80c7013ca6c69d9297ea7938503aa2c7cd3a5944a9c03b15786239a3cb49b
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size 133974
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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 sha256:13dff381e6996156ffa70705f030613fd4a6c0fbc8f2f531670a43d55f7109a0
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size 23401064
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