Instructions to use Ni1111/robotwin_video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ni1111/robotwin_video with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ni1111/robotwin_video", 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:
- c378bc13df02211bdcaa6517d604f76f957eb261c7f98263e2db2796342d5a51
- Size of remote file:
- 10 GB
- SHA256:
- 5179eefed20b9323d58903de3f12716e4b608e18b9c8e746b01c4ef21e74a3eb
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