Image-Text-to-Video
Diffusers
Safetensors
English
Chinese
xgen-jing
world-model
egocentric
video-generation
audio-video-generation
Instructions to use XGENlabs/XGEN-JING with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XGENlabs/XGEN-JING with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XGENlabs/XGEN-JING", 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:
- 056b0bb9f0a7f1d345a6d83314894f8b12cdf44d5776e7a099d4758b6e2d8d07
- Size of remote file:
- 8.51 MB
- SHA256:
- 43fc8e7436a016b0e92f52159e430d5f6d647a7cab4bb560777b0470bdb0a54c
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