Instructions to use marianaas8/MultiviewDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marianaas8/MultiviewDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marianaas8/MultiviewDiffusion", 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
Commit History
-
Remove old .bin VAE weights in favor of safetensors
fd2435a -
Add VAE weights in safetensors
db92ebf -
Rename UNet weights for Diffusers compatibility
eae56a7 -
Upload full model files
e71f61c