End of training
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README.md
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- diffusers
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- controlnet
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- diffusers-training
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inference: true
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---
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- diffusers
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- controlnet
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- diffusers-training
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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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- controlnet
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- diffusers-training
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inference: true
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---
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logs/controlnet/1729426495.7138522/events.out.tfevents.1729426495.f19bcc11c803.25280.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ee3441a7c2a8d78e272e5b8658433fb0136610f227df84660464a2141f253b6
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size 2391
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logs/controlnet/1729426495.722813/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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cache_dir: null
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caption_column: text
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checkpointing_steps: 500
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checkpoints_total_limit: null
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conditioning_image_column: segmentation_image
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controlnet_model_name_or_path: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: SRathod/GID_seg_full
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 4
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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_column: image
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learning_rate: 1.0e-05
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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_with_warmup
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lr_warmup_steps: 500
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max_grad_norm: 1.0
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max_train_samples: null
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max_train_steps: 312
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mixed_precision: null
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num_train_epochs: 2
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num_validation_images: 4
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output_dir: model_out_seg
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pretrained_model_name_or_path: stable-diffusion-v1-5/stable-diffusion-v1-5
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proportion_empty_prompts: 0
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push_to_hub: true
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report_to: tensorboard
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resolution: 512
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resume_from_checkpoint: ./model_out_seg/checkpoint-1000
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revision: null
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scale_lr: false
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seed: null
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set_grads_to_none: true
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tokenizer_name: null
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tracker_project_name: controlnet
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train_batch_size: 1
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train_data_dir: null
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use_8bit_adam: true
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validation_steps: 100
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variant: null
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logs/controlnet/events.out.tfevents.1729426495.f19bcc11c803.25280.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f761375f2becc8d987ff7308febd46905705a0cede805c386e1aabafb7a0a6d
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size 88
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