Instructions to use chenchenshi/DriveWAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chenchenshi/DriveWAM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("chenchenshi/DriveWAM", 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:
- a67cb7c6ef4c7b5afbf7c7ac10e468fe126b04e96f54e1814fdc480810b5b576
- Size of remote file:
- 3.17 GB
- SHA256:
- ff96c6dd388205573ee58700f4094c6ebcfe7259803d6ded45ff1c0f82df93e3
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