Instructions to use lauluCas/Headshots3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lauluCas/Headshots3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lauluCas/Headshots3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d34f0ec5a5883025ed2c52b097c8791741c79e1d3b21c23f61b1efeed53121ee
- Size of remote file:
- 74.3 MB
- SHA256:
- e803a8fdb995b36006b83041d60d1140b3ba5f8a7eaa66814642c691247039a8
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