Instructions to use doanh25032004/vgp_checkpoints_nvidia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use doanh25032004/vgp_checkpoints_nvidia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("doanh25032004/vgp_checkpoints_nvidia", 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
Commit History
-
Add files using upload-large-folder tool
Verified signature1f431b8 -
Add files using upload-large-folder tool
Verified signature6387bde -
Add files using upload-large-folder tool
Verified signature2463871 -
Add files using upload-large-folder tool
Verified signaturee61fe5e -
Add files using upload-large-folder tool
Verified signature2dd59b0 -
Add files using upload-large-folder tool
Verified signature5ec1cf2 -
Add files using upload-large-folder tool
Verified signature3e7ca67 -
Add files using upload-large-folder tool
Verified signature02a182b -
Add files using upload-large-folder tool
Verified signatureb44a26e -
initial commit
Verified signaturee9aadd6