Instructions to use HandEdit/HandEdit-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HandEdit/HandEdit-LoRA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
HandEdit LoRA
LoRA checkpoints for replacing human hands with Inspire robot hands while preserving the original pose, object interaction, background, lighting, and camera view.
The adapters were trained on 20K+ aligned image-editing pairs.
Models
| Model | Base model | Checkpoint |
|---|---|---|
| LongCat-Image-Edit | meituan-longcat/LongCat-Image-Edit |
checkpoints/longcat/ |
| OmniGen-v1 | Shitao/OmniGen-v1 |
checkpoints/omnigen/ |
| FLUX.2 Klein Base 4B | black-forest-labs/FLUX.2-klein-base-4B |
checkpoints/flux2/ |
| Step1X-Edit | stepfun-ai/Step1X-Edit |
checkpoints/step1x/ |
Download
hf download HandEdit/HandEdit-LoRA \
--include "checkpoints/**" \
--local-dir .
Inference
Run from the repository root:
python scripts/infer_longcat_lora.py \
--input_dir ./input --output_dir ./output/longcat
python scripts/infer_omnigen_lora.py \
--input_dir ./input --output_dir ./output/omnigen
python scripts/infer_flux2_lora.py \
--input_dir ./input --output_dir ./output/flux2
python scripts/infer_step1x_lora.py \
--repo_dir ./third_party/Step1X-Edit \
--model_dir ./weights/Step1X-Edit \
--input_dir ./input --output_dir ./output/step1x \
--quantized --offload
Only the LoRA adapters are included. Download the corresponding base models from their official repositories.
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