Instructions to use dorukbenli/multi-view-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dorukbenli/multi-view-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dorukbenli/multi-view-diffusion", 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:
- 648d94e915dc07265a03de88469dcb0d98baeb1aa19bc5ebaa8c6c26bc4ca53f
- Size of remote file:
- 135 Bytes
- SHA256:
- 3e19581a9815908454f1008b437cf1ee5b386f97b9d6e578dfc1c49db9e8ae30
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