Instructions to use diffusers/i2vgen-xl-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/i2vgen-xl-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/i2vgen-xl-diffusers", 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:
- 8024859cdd1384d2de55e44bb1ce2f2202fdbbccc9444b9b70fc72a832bdc68a
- Size of remote file:
- 1.41 GB
- SHA256:
- bd94a7ea6922e8028227567fe14e04d2989eec31c482e0813e9006afea6637f1
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