Text-to-Image
Diffusers
Safetensors
English
remote-sensing
earth-observation
satellite-imagery
flow-matching
diffusion-transformer
geospatial
Instructions to use BiliSakura/GeoCore-9B-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/GeoCore-9B-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/GeoCore-9B-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "A parking lot full of cars is located next to some trees." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download demo/commercial.png from BiliSakura/GeoCore-9B-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 125 kB
-
https://huggingface.co/BiliSakura/GeoCore-9B-diffusers/resolve/main/demo/commercial.png
- Command line
-
hf download hf://BiliSakura/GeoCore-9B-diffusers/demo/commercial.png
-
curl -L -o commercial.png https://huggingface.co/BiliSakura/GeoCore-9B-diffusers/resolve/main/demo/commercial.png
125 kB

- Xet hash:
- 3a06dd54ddc47dfa0113b1544f10c7b2dc4a3b31d350403c08fb1985da626895
- Size of remote file:
- 125 kB
- SHA256:
- eb682c5f82ed7caebc4c2f4e817d7dfb24edbdf821089d544643a569b92ed70c
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