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
File size: 169 Bytes
89d4944 | 1 2 3 4 5 6 7 8 | {
"_class_name": "FlowMatchEulerDiscreteScheduler",
"_diffusers_version": "0.32.0",
"num_train_timesteps": 1000,
"shift": 1.0,
"use_dynamic_shifting": false
}
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