Instructions to use ali97/sat2gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ali97/sat2gen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ali97/sat2gen", 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:
- 0e35482c23fbb775652668464d5feb1495e922c74c2d20efbfad6c4c165c985e
- Size of remote file:
- 455 MB
- SHA256:
- 998c1216b9db51bf2a2ffecf1993374417f182d10d7d0e81208234ecf9cd8e86
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