Instructions to use Okrin/SketchVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Okrin/SketchVideo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Okrin/SketchVideo", 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:
- b7a127d6f6fe4b67430a18e6bc238cc8aff2f32c51e338b7e7e903f020dfdf36
- Size of remote file:
- 1.16 MB
- SHA256:
- 79a9964b23be94f96ba0156b3c6434b212f68b38514b0853d250d193dde59104
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