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End of training

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README.md CHANGED
@@ -12,7 +12,7 @@ inference: true
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  ---
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  # LoRA text2image fine-tuning - Atul790/dress-lora
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- These are LoRA adaption weights for digiplay/Photon_v1. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
 
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  ---
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  # LoRA text2image fine-tuning - Atul790/dress-lora
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+ These are LoRA adaption weights for digiplay/Photon_v1. The weights were fine-tuned on the Atul790/dress-lora911 dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
image_0.png CHANGED
image_1.png CHANGED
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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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+ center_crop: true
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+ checkpointing_steps: 500
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+ checkpoints_total_limit: null
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+ dataloader_num_workers: 8
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+ dataset_config_name: null
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+ dataset_name: Atul790/dress-lora911
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 4
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+ gradient_checkpointing: false
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+ hub_model_id: dress-lora
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+ hub_token: null
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+ image_column: image
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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_scheduler: cosine
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_samples: null
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+ max_train_steps: 3
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+ mixed_precision: null
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+ noise_offset: 0
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+ num_train_epochs: 1
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+ num_validation_images: 4
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+ output_dir: /media/web/3417f396-a9ad-4d9b-9729-981a6d4db25b/home/web/Desktop/AI_Dressing/ilan/diffusers/examples/text_to_image/output_check
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+ prediction_type: null
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+ pretrained_model_name_or_path: digiplay/Photon_v1
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+ push_to_hub: true
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+ random_flip: 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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+ scale_lr: false
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+ seed: 1337
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+ snr_gamma: null
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+ train_batch_size: 1
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+ train_data_dir: null
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+ use_8bit_adam: false
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+ validation_epochs: 1
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+ validation_prompt: masterpiece,best quality,1girl, wearing xyzbluedress, looking at
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+ viewer, simple background --n low quality, worst quality, bad anatomy, bad composition,
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+ poor,low effort
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+ variant: null
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