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:
- 35b1132b103a95bb03edb1a22bd6f59d8a17c23c43af0b2b9a411dce2ac9e328
- Size of remote file:
- 5.65 GB
- SHA256:
- 6bc0b83c3c39050d61bad826ca2eaf022477923a98752d3ab3305de9968f1d51
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