Instructions to use NYUAD-ComNets/Middle_Eastern_Male_Profession_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NYUAD-ComNets/Middle_Eastern_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/Middle_Eastern_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 22aafa2fff68dd632c86e8123decaff32485a013695226358601f068c4999c19
- Size of remote file:
- 47.1 MB
- SHA256:
- 93cafbebd974a5a78749ae05eb8ad8799fd0c564f2998a9d64e7581cc9a41b20
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