Instructions to use NYUAD-ComNets/Latino_Hispanic_Male_Profession_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NYUAD-ComNets/Latino_Hispanic_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/Latino_Hispanic_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
- Xet hash:
- d4c70b9783df8b58e643b2420549a50f15652cdd2f9d98b8023ecc68944ce147
- Size of remote file:
- 559 Bytes
- SHA256:
- 48e475e795b35d9b1a2eec665fff3872b1ad60a9180e11f9c5538e425ae8eaac
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