Instructions to use TencentARC/StereoCrafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/StereoCrafter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/StereoCrafter", 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:
- cd12d8b71853d7d382cd63686f4bb43e13dcac9560664131fe8ebdbd78534690
- Size of remote file:
- 3.05 GB
- SHA256:
- 5ebd4c581e94fe4a5230aa9a81d3079a106a0879beba3e51050b0678baf6fe89
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.