Instructions to use CiaraRowles/Webvidsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CiaraRowles/Webvidsd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CiaraRowles/Webvidsd", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 7536eddd3a3e5ac9484c9160a85901dc332ef35621bbf48cc03ffdf9580105c6
- Size of remote file:
- 3.44 GB
- SHA256:
- 24812d61b3fd367dc786461e2b62916d37a2cb0d34d9a43b47824d8021d78ebb
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