Instructions to use VAST-AI/TripoSG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VAST-AI/TripoSG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VAST-AI/TripoSG", 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:
- b86253a7a729ba7a90cf93968f9a8ae8222a74544244ee7a08c59b40faa805bc
- Size of remote file:
- 971 MB
- SHA256:
- a2e667c24927a5a35e5f19fcb4c75890e9399aa966b6db8131d7df733a750c8b
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