--- base_model: - FireRedTeam/FireRed-Image-Edit-1.0 language: - en - zh library_name: diffusers license: apache-2.0 pipeline_tag: image-to-image tags: - FireRed-Image-Edit-1.0 - distillation - LoRA --- # FireRed-Image-Edit-1.0-Lightning This repository contains the distilled "Lightning" LoRA weights for [FireRed-Image-Edit-1.0](https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.0), enabling fast, high-quality instruction-based image editing in just 8 steps. For more technical details, please refer to the [FireRed-Image-Edit-1.0 Technical Report](https://huggingface.co/papers/2602.13344). - **Project Page:** [FireRed-Image-Edit-1.0 Space](https://huggingface.co/spaces/FireRedTeam/FireRed-Image-Edit-1.0) - **Repository:** [FireRedTeam/FireRed-Image-Edit](https://github.com/FireRedTeam/FireRed-Image-Edit) - **Paper:** [FireRed-Image-Edit-1.0 Technical Report](https://huggingface.co/papers/2602.13344) ## Use with diffusers 🧨 To use this distilled LoRA, make sure to install `diffusers` from `main`: ```bash pip install git+https://github.com/huggingface/diffusers.git ``` ```python from diffusers import QwenImageEditPlusPipeline import torch from PIL import Image pipe = QwenImageEditPlusPipeline.from_pretrained( "FireRedTeam/FireRed-Image-Edit-1.0", torch_dtype=torch.bfloat16, ).to("cuda") # Load the distilled Lightning LoRA weights pipe.load_lora_weights( "FireRedTeam/FireRed-Image-Edit-1.0-Lightning", weight_name="FireRed-Image-Edit-1.0-Lightning-8steps-v1.0.safetensors" ) prompt = "在书本封面Python的下方,添加一行英文文字2nd Edition" input_image_path = "./examples/edit_example.png" input_image_raw = Image.open(input_image_path).convert('RGB') image = pipe( image = [input_image_raw], prompt = prompt, height = None, width = None, num_inference_steps = 8, generator=torch.manual_seed(0), true_cfg_scale=1.0, # Do not use standard CFG for Lightning LoRA ).images[0] image.save("firered_image_edit_fewsteps.png") ``` ## Citation If you find this work useful, please consider citing: ```bibtex @article{firered2026rededit, title={FireRed-Image-Edit-1.0 Technical Report}, author={Super Intelligence Team}, year={2026}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2602.13344}, } ```