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/parking.png from BiliSakura/GeoCore-9B-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 145 kB
-
https://huggingface.co/BiliSakura/GeoCore-9B-diffusers/resolve/main/demo/parking.png
- Command line
-
hf download hf://BiliSakura/GeoCore-9B-diffusers/demo/parking.png
-
curl -L -o parking.png https://huggingface.co/BiliSakura/GeoCore-9B-diffusers/resolve/main/demo/parking.png
145 kB

- Xet hash:
- 5e55c47271bbf1232112a17ed92253c7b8d176ddab675703503624e7c4be7454
- Size of remote file:
- 145 kB
- SHA256:
- 551fffadeb1e3120042b058f77c3226e1d29cdc841ed4dd766e8fab6f001024c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.