Instructions to use ali-vilab/i2vgen-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ali-vilab/i2vgen-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ali-vilab/i2vgen-xl", 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
Update with fp16 variants
#8
by sayakpaul HF Staff - opened
This PR adds the FP16 variant parameters so that the loading time can be sped up by 2X.
sayakpaul changed pull request status to open
wenmengzhou changed pull request status to merged