Instructions to use sohith18/controlnet-satellite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sohith18/controlnet-satellite with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sohith18/controlnet-satellite", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download checkpoint-4200/optimizer.bin from sohith18/controlnet-satellite: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/sohith18/controlnet-satellite/resolve/main/checkpoint-4200/optimizer.bin
- Command line
-
hf download hf://sohith18/controlnet-satellite/checkpoint-4200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sohith18/controlnet-satellite/resolve/main/checkpoint-4200/optimizer.bin
2.89 GB
- Xet hash:
- 1b1622f67452829d05089529f588f89869d32977c92391e1ce53ac33b2255eaa
- Size of remote file:
- 2.89 GB
- SHA256:
- d9e62f1eabd734916bb48f0dbe98033998f967e99b907d1ea7e0cda95769f2cd
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