Instructions to use NYUAD-ComNets/Asian_Male_Profession_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NYUAD-ComNets/Asian_Male_Profession_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NYUAD-ComNets/Asian_Male_Profession_Model") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -108,6 +108,19 @@ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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# BibTeX entry and citation info
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```
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@article{aldahoul2024ai,
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title={AI-generated faces free from racial and gender stereotypes},
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author={AlDahoul, Nouar and Rahwan, Talal and Zaki, Yasir},
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# BibTeX entry and citation info
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```
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@article{aldahoul2025ai,
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title={AI-generated faces influence gender stereotypes and racial homogenization},
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author={AlDahoul, Nouar and Rahwan, Talal and Zaki, Yasir},
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journal={Scientific reports},
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volume={15},
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number={1},
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pages={14449},
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year={2025},
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publisher={Nature Publishing Group UK London}
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}
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@article{aldahoul2024ai,
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title={AI-generated faces free from racial and gender stereotypes},
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author={AlDahoul, Nouar and Rahwan, Talal and Zaki, Yasir},
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