Instructions to use MVRL/GeoSynth-SAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MVRL/GeoSynth-SAM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MVRL/GeoSynth-SAM", 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:
- fadda833aaebebce6bd71f1b213285f5ef78e8c47264d14966bfbe1aeca8b0ae
- Size of remote file:
- 1.46 GB
- SHA256:
- 54ab8c768ce9fc17660595b34215f7615bda4931226069f40836972daea7e0d3
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