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:
- b9c10525acb71976b6360576777941b59d27b3ca93ba54e7ce5c6ec68944cda3
- Size of remote file:
- 47.1 MB
- SHA256:
- 8758e64bc74be0ea614f305d0963fbfd6bf02af990c686e0b4f3a7b5d2fb3419
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