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:
- 521a9a5b081572730bc410f1ce4644757e30082df2772036f0b3649620b18d85
- Size of remote file:
- 487 kB
- SHA256:
- 807962ea08ed7f29961aa7ebec1d7c735e682a20e755058a4cd9bb6ab29b8ab7
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