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
Demo for this model on Spaces
3
#1 opened about 10 hours ago
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multimodalart