Instructions to use dgfx/multi-view-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dgfx/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("dgfx/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:
- ee755c58c345d81f8ee67833028999b4b8e6c084a6586709dd8de2deb4f70ea3
- Size of remote file:
- 1.88 GB
- SHA256:
- 28d8b241a54125fa0a041c1818a5dcdb717e6f5270eea1268172acd3ab0238e0
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