anik550689
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End of training
Browse files- README.md +23 -0
- logging_model/dreambooth-lora-sd-xl/1693734024.8197227/events.out.tfevents.1693734024.instance-1.8626.1 +3 -0
- logging_model/dreambooth-lora-sd-xl/1693734024.8238077/hparams.yml +59 -0
- logging_model/dreambooth-lora-sd-xl/events.out.tfevents.1693734024.instance-1.8626.0 +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: /home/ahmed/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/bf714989e22c57ddc1c453bf74dab4521acb81d8
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instance_prompt:
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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 - anik550689/output_model
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These are LoRA adaption weights for /home/ahmed/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/bf714989e22c57ddc1c453bf74dab4521acb81d8. The weights were trained on 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: True.
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Special VAE used for training: None.
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logging_model/dreambooth-lora-sd-xl/1693734024.8197227/events.out.tfevents.1693734024.instance-1.8626.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:75affea074f87ebef2da92b5c0a5f59f72bdcc851d7e6bcbe739fd2947a5440c
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size 3102
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logging_model/dreambooth-lora-sd-xl/1693734024.8238077/hparams.yml
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accelerator_config_path: /root/.cache/huggingface/accelerate/default_config.yaml
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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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cache_latents: true
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center_crop: false
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checkpointing_steps: 500
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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: false
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gradient_accumulation_steps: 1
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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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image_captions_filename: true
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instance_data_dir: instance_images
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instance_prompt: ''
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learning_rate: 2.0e-06
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local_rank: -1
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logging_dir: logging_model
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: polynomial
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 150
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 150
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num_validation_images: 4
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output_dir: output_model
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pretrained_model_name_or_path: /home/ahmed/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/bf714989e22c57ddc1c453bf74dab4521acb81d8
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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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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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save_n_steps: 0
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save_starting_step: 0
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scale_lr: false
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seed: 42
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stop_text_encoder_training: 105
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train_batch_size: 1
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train_text_encoder: true
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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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logging_model/dreambooth-lora-sd-xl/events.out.tfevents.1693734024.instance-1.8626.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d07c5a313bbf537e803d1b77082159dd8dc1ba1ca38d985f38844e948b25013
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size 12434
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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 sha256:933fae8119689b913acae4bc3f51a02ac39605bd17554fa5cf2c1239f562f0ba
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size 29879504
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