Instructions to use Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers", 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:
- 183c5c4c59e4764c4bbee22c4ae7adb9d31d65d33495236fc5c00178cd9d446d
- Size of remote file:
- 862 MB
- SHA256:
- ce9892721e982fb30100f9499ff2684ea68174370840421d6ab613c090526d75
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