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:
- 1b8ab316f3374cd858adef383d60752941630b857fec5855dc98ba87f2a251cd
- Size of remote file:
- 114 MB
- SHA256:
- 14f3164e3ea6ac32ab3f574f528ce817696c9176fad4221e0a77a905a7360595
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