Image-to-Image
Diffusers
Safetensors
sar-to-eo
remote-sensing
flow-matching
synthetic-aperture-radar
Instructions to use JeonghyeokDo/ReFlowSET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JeonghyeokDo/ReFlowSET with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JeonghyeokDo/ReFlowSET", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download baselines/sar2opt/e3diff/gen.pth from JeonghyeokDo/ReFlowSET: direct link, hf CLI and curl.
- Browser
- Download file 768 MB
-
https://huggingface.co/JeonghyeokDo/ReFlowSET/resolve/main/baselines/sar2opt/e3diff/gen.pth
- Command line
-
hf download hf://JeonghyeokDo/ReFlowSET/baselines/sar2opt/e3diff/gen.pth
-
curl -L -o gen.pth https://huggingface.co/JeonghyeokDo/ReFlowSET/resolve/main/baselines/sar2opt/e3diff/gen.pth
768 MB
- Xet hash:
- fa5c7d8e9a50a0cdb0f6f85f36ff5fbe4dc02931ae873d31784b9d752a889ff7
- Size of remote file:
- 768 MB
- SHA256:
- 565c45c53434666fa0f62dbdbfa772742ae8b72eb204b324b05953bdf246d623
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