Instructions to use MVRL/GeoSynth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MVRL/GeoSynth 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", dtype=torch.bfloat16, device_map="cuda") prompt = "city neighborhood" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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@@ -36,7 +36,7 @@ This is a StableDiffusion based model that synthesizes satellite images given te
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```python
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from diffusers import StableDiffusionPipeline
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pipe = StableDiffusionPipeline.from_pretrained("MVRL/
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pipe = pipe.to("cuda:0")
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image = pipe(
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```python
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from diffusers import StableDiffusionPipeline
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pipe = StableDiffusionPipeline.from_pretrained("MVRL/GeoSynth")
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pipe = pipe.to("cuda:0")
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image = pipe(
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