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:
- 22318a0d0a44a5ed284cbb42fc80693305c7f96610bd8917282552cff9f032a3
- Size of remote file:
- 4.16 MB
- SHA256:
- c08932a05f70f932aef7175ba9673b3235d47951893303ebcd4b57700b8f5e8b
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