End of training

.gitattributes

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README.md

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+
+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+dataset: NYUAD-ComNets/Middle_Eastern_Female_Profession
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA text2image fine-tuning - NYUAD-ComNets/Middle_Eastern_Female_Profession_Model
+
+These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the NYUAD-ComNets/Middle_Eastern_Female_Profession dataset. You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+![img_4](./image_4.png)
+![img_5](./image_5.png)
+![img_6](./image_6.png)
+![img_7](./image_7.png)
+![img_8](./image_8.png)
+![img_9](./image_9.png)
+![img_10](./image_10.png)
+![img_11](./image_11.png)
+
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

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+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+cache_dir: null
+caption_column: text
+center_crop: true
+checkpointing_steps: 2000
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+dataloader_num_workers: 0
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+dataset_name: NYUAD-ComNets/Middle_Eastern_Female_Profession
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
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+image_column: image
+learning_rate: 0.0001
+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: 6267
+mixed_precision: fp16
+noise_offset: 0
+num_train_epochs: 3
+num_validation_images: 12
+output_dir: /home/naa9497/Middle_Eastern_Female_Profession_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
+push_to_hub: true
+random_flip: false
+rank: 4
+report_to: tensorboard
+resolution: 1024
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+train_batch_size: 1
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+train_text_encoder: false
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: a photo of a doctor, looking at the camera, closeup headshot facing
+  forward, ultra quality, sharp focus
+variant: null

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