Instructions to use onkarsus13/GraphVid_1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onkarsus13/GraphVid_1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("onkarsus13/GraphVid_1.0", 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:
- edd97e1043e613452b7bd05025ca7d8cef1e61f5a785d06339ae8f7c98c8a699
- Size of remote file:
- 118 MB
- SHA256:
- 803b5ec11115dcfcf590a17b99199cdddf0de3f86ad040713dea3a33dcd39129
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