Image-to-Image
Diffusers
Safetensors
sar-to-eo
remote-sensing
synthetic-aperture-radar
flow-matching
lora
Instructions to use JeonghyeokDo/GeoSET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JeonghyeokDo/GeoSET 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("black-forest-labs/FLUX.2-klein-base-4B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JeonghyeokDo/GeoSET") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download lora/sar2eo/adapter_model.safetensors from JeonghyeokDo/GeoSET: direct link, hf CLI and curl.
- Browser
- Download file 92.4 MB
-
https://huggingface.co/JeonghyeokDo/GeoSET/resolve/main/lora/sar2eo/adapter_model.safetensors
- Command line
-
hf download hf://JeonghyeokDo/GeoSET/lora/sar2eo/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/JeonghyeokDo/GeoSET/resolve/main/lora/sar2eo/adapter_model.safetensors
92.4 MB
- Xet hash:
- 61f3c9d4daadfee6c53455f35225e16c05b555757f20df55094a1fc730414d85
- Size of remote file:
- 92.4 MB
- SHA256:
- 3fda748f5c22d2107a7b01897aeeb1975020d05f863af16ab9ebce293eea1d86
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