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
- Xet hash:
- ca9eaed14eb24d8d019c9cf9cc0850a41b738d9a7c085ae603416a2ee63bcc12
- Size of remote file:
- 662 MB
- SHA256:
- 3075a059144ef972d3b0129fded5d4d94193e5406bb98e5b30e6afd3fbb64653
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