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NYUAD-ComNets
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Asian_Female_Profession_Model

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  1. .gitattributes +1 -0
  2. README.md +35 -0
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-1000/random_states_0.pkl +3 -0
  6. checkpoint-1000/scaler.pt +3 -0
  7. checkpoint-1000/scheduler.bin +3 -0
  8. checkpoint-1500/optimizer.bin +3 -0
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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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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/Asian_Female_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/Asian_Female_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/Asian_Female_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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