Instructions to use AliMusaRizvi/sar-to-optical-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AliMusaRizvi/sar-to-optical-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AliMusaRizvi/sar-to-optical-diffusion", 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:
- 1fcade086bb907a729d9ad11341b9e9b0fb9f218c437957919fa21e1d355e7a1
- Size of remote file:
- 238 kB
- SHA256:
- f8e30c0909ed0cc20f72822d9de16360ddcf0386db35ebf1fa12d7f3736ab167
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