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:
- b443edea3e63ce2dacbbc0046cb17d31ff4205483f5161cc0b80552a852ec5e0
- Size of remote file:
- 134 Bytes
- SHA256:
- 8cdec6c37f090f280bb568c58d34ae6176207ed9d4075d77e13134161c4032ca
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