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

- Xet hash:
- 822ffac43c6e5ef0010f030671ffb33e2b60dcda50beece2e985c71dfc3b4cbe
- Size of remote file:
- 450 kB
- SHA256:
- 9e99b31cbb6709179854bf5d5e1487df84939a0393d53ca221c32301889f715e
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