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/inst.png from jaychempan/EarthSynth: direct link, hf CLI and curl.
- Browser
- Download file 553 kB
-
https://huggingface.co/jaychempan/EarthSynth/resolve/main/assets/inst.png
- Command line
-
hf download hf://jaychempan/EarthSynth/assets/inst.png
-
curl -L -o inst.png https://huggingface.co/jaychempan/EarthSynth/resolve/main/assets/inst.png
553 kB

- Xet hash:
- dba4136264f64e47cc5853884052c38fb31715fe67af3929c049363b144615de
- Size of remote file:
- 553 kB
- SHA256:
- b127cabcdda755d7d03658ff97e4c3c3dc8fa3802b3e47ce4fcaa5ade19c5381
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