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:
- 22545ff52d02d4bdcbf5bb86672fdfd5727e1a3f4acc48def7f5d1417ed5c238
- Size of remote file:
- 28.8 MB
- SHA256:
- 06338eefac9a9214e7010c2597a7642768f7e11b3718ebd2d9247e1207d914dd
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