Instructions to use GSVC-Project/gsvc-asset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GSVC-Project/gsvc-asset with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GSVC-Project/gsvc-asset", 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:
- faa0c469f73eef00b867e25d3f20b46eb13fdf68c15a168b3fa3d791f701a5f3
- Size of remote file:
- 342 MB
- SHA256:
- af90c11ea3578299a9a6ce1550e5293ac8e0f2e362089c94f9aa74c7089fcd81
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