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:
- aeccf0f3e7535caa2fddc9ea0c77478518bb6b48375be1adaa21d2a193fd487e
- Size of remote file:
- 15.1 kB
- SHA256:
- 7ff7dab124e92c75f3a4fb725c23872defcc87a081a5c82f85260a13f4272658
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