Instructions to use isfs/i2vgen-xl-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use isfs/i2vgen-xl-fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("isfs/i2vgen-xl-fp16", 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:
- 8b37628432b60a0de946ac628bac573f669d56aaf549f369cf3a43f87332766c
- Size of remote file:
- 4.13 MB
- SHA256:
- 988fdb6e39703c08718892022656f4875806473aca90e4cec1bbf5cf59e75165
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