End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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+image_1.png filter=lfs diff=lfs merge=lfs -text
+image_2.png filter=lfs diff=lfs merge=lfs -text
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README.md

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+
+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+dataset: temp_celeb_dataset
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+inference: true
+---
+    
+# Text-to-image finetuning - harshith-7/sdxl-model
+
+This pipeline was finetuned from **stabilityai/stable-diffusion-xl-base-1.0** on the **temp_celeb_dataset** dataset. Below are some example images generated with the finetuned pipeline using the following prompt: Elizabeth_Gutierrez smiling: 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

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+caption_column: text
+center_crop: true
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+dataloader_num_workers: 0
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+dataset_name: temp_celeb_dataset
+enable_xformers_memory_efficient_attention: true
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+image_column: image
+learning_rate: 1.0e-06
+local_rank: -1
+logging_dir: logs
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 100
+mixed_precision: fp16
+noise_offset: 0
+num_train_epochs: 34
+num_validation_images: 4
+output_dir: sdxl-model
+prediction_type: null
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
+pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
+proportion_empty_prompts: 0.2
+push_to_hub: true
+random_flip: true
+report_to: tensorboard
+resolution: 512
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+timestep_bias_end: 1000
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+timestep_bias_portion: 0.25
+timestep_bias_strategy: none
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: true
+use_ema: false
+validation_epochs: 5
+validation_prompt: Elizabeth_Gutierrez smiling
+variant: null

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