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 scheduler/scheduler_config.json from BiliSakura/GeoCore-9B-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 169 Bytes
-
https://huggingface.co/BiliSakura/GeoCore-9B-diffusers/resolve/main/scheduler/scheduler_config.json
- Command line
-
hf download hf://BiliSakura/GeoCore-9B-diffusers/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/BiliSakura/GeoCore-9B-diffusers/resolve/main/scheduler/scheduler_config.json
169 Bytes
| { | |
| "_class_name": "FlowMatchEulerDiscreteScheduler", | |
| "_diffusers_version": "0.32.0", | |
| "num_train_timesteps": 1000, | |
| "shift": 1.0, | |
| "use_dynamic_shifting": false | |
| } | |