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
Download model_weights_epoch_149.pt from Jaeyong21/diffusion_fingervein: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/Jaeyong21/diffusion_fingervein/resolve/main/model_weights_epoch_149.pt
- Command line
-
hf download hf://Jaeyong21/diffusion_fingervein/model_weights_epoch_149.pt
-
curl -L -o model_weights_epoch_149.pt https://huggingface.co/Jaeyong21/diffusion_fingervein/resolve/main/model_weights_epoch_149.pt
1.36 GB
- Xet hash:
- a005b81bbc11505c36c9a68601a6fab2caccc95975eecf719a744cf48a9e0d00
- Size of remote file:
- 1.36 GB
- SHA256:
- 363aa028eb59ed04ead6b3368edcb570577dff1e1a822e5c50197dc5e9b99d83
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