Instructions to use GrayShine/Video-GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GrayShine/Video-GPT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GrayShine/Video-GPT", 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:
- 90a466d3dada8eacfba306f6b08f0e5725e3da772fad09db6879046b4bf09f31
- Size of remote file:
- 7.81 MB
- SHA256:
- a63bef5bdd98c644d7cb7fe8f2e3b4f9e158f01d80afd6da8517932decab8348
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