Instructions to use mindazhao/mvdream-sd15-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mindazhao/mvdream-sd15-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mindazhao/mvdream-sd15-diffusers", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 8d76a0e281a68661f51dd322626052709f1e073829a986a71e838917a8d7f5e4
- Size of remote file:
- 6.65 MB
- SHA256:
- 91d568075b6e7c173a1ece38fb98e6aa4cf5c6d26097247d3774955299547513
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.