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:
- 5eb279e28b1dc0a49778de6afefb76396033d0fe969676027687e7f45e9a29db
- Size of remote file:
- 1.36 GB
- SHA256:
- fb10f23047352c3873dfd403214312b0f6463ebfbd69e91fb6261737964dde80
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