NYUAD-ComNets commited on
Commit
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1 Parent(s): abf45cb

End of training

Browse files
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ dataset: NYUAD-ComNets/White_Male_Profession
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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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+
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+ # LoRA text2image fine-tuning - NYUAD-ComNets/White_Male_Profession_Model
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+
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the NYUAD-ComNets/White_Male_Profession dataset. You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+ ![img_4](./image_4.png)
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+ ![img_5](./image_5.png)
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+ ![img_6](./image_6.png)
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+ ![img_7](./image_7.png)
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+ ![img_8](./image_8.png)
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+ ![img_9](./image_9.png)
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+ ![img_10](./image_10.png)
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+ ![img_11](./image_11.png)
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+
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+
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+ LoRA for the text encoder was enabled: False.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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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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+ dataset_name: NYUAD-ComNets/White_Male_Profession
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+ learning_rate: 0.0001
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+ max_train_steps: 6102
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+ mixed_precision: fp16
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+ noise_offset: 0
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+ num_train_epochs: 3
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+ num_validation_images: 12
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+ output_dir: /home/naa9497/White_Male_Profession_Model
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+ prediction_type: null
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+ validation_epochs: 1
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+ validation_prompt: a photo of a doctor, looking at the camera, closeup headshot facing
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+ forward, ultra quality, sharp focus
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