Instructions to use Jaeyong21/diffusion_fingervein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jaeyong21/diffusion_fingervein with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jaeyong21/diffusion_fingervein", 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:
- cbb14d3212def4d86979094cca2545bcd988795f1a56ff9102a50de13e51ebd2
- Size of remote file:
- 1.36 GB
- SHA256:
- d439a3324ac3d9cd1ae80a8118e99865defe621e7f24ede69b9f0865bb926942
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