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
- Xet hash:
- 0a6f7ae594b80c95ee1990b2aa934a0a4825e285aba3416e41da7564b64fa806
- Size of remote file:
- 4.86 MB
- SHA256:
- f4d416283eb95212e1fd45c2d02045a836160929fd15e7120dd77998380c7656
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