Instructions to use hackbones/MVDx1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hackbones/MVDx1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hackbones/MVDx1", 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:
- 789011fa8fa9d14722f7b1eb1e0b69fb6c7665922ceb8a5b61870e096cecbfd7
- Size of remote file:
- 1.26 GB
- SHA256:
- 2a56cfd4ffcf40be097c430324ec184cc37187f6dafef128ef9225438a3c03c4
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