Diffusers
Safetensors
remote-sensing
computer-vision
diffusion-models
controlnet
generative-model
earth-observation
open-vocabulary
image-dataset
Instructions to use jaychempan/EarthSynth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jaychempan/EarthSynth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jaychempan/EarthSynth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download assets/gifs/FAST_train_5093_0001_0_small_vehicle_2.gif from jaychempan/EarthSynth: direct link, hf CLI and curl.
- Browser
- Download file 470 kB
-
https://huggingface.co/jaychempan/EarthSynth/resolve/main/assets/gifs/FAST_train_5093_0001_0_small_vehicle_2.gif
- Command line
-
hf download hf://jaychempan/EarthSynth/assets/gifs/FAST_train_5093_0001_0_small_vehicle_2.gif
-
curl -L -o FAST_train_5093_0001_0_small_vehicle_2.gif https://huggingface.co/jaychempan/EarthSynth/resolve/main/assets/gifs/FAST_train_5093_0001_0_small_vehicle_2.gif
470 kB

- Xet hash:
- ddfc8f8359bef04bb5b40a43c5d446ce42c7bda19a581310da4cffcea406e7d3
- Size of remote file:
- 470 kB
- SHA256:
- b9d7129440cb092f76f3caf56846869dab22f67a36ab7b815c87e64bc3f059fb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.