Instructions to use FireRedTeam/FireRed-Image-Edit-1.0-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FireRedTeam/FireRed-Image-Edit-1.0-Lightning 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("FireRedTeam/FireRed-Image-Edit-1.0-Lightning", 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
Add link to paper and code, improve model card structure
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by nielsr HF Staff - opened
README.md
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language:
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- en
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pipeline_tag: image-to-image
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tags:
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- FireRed-Image-Edit-1.0
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- distillation
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- LoRA
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library_name: diffusers
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```
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from diffusers import QwenImageEditPlusPipeline
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import torch
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from PIL import Image
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pipe = QwenImageEditPlusPipeline.from_pretrained(
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"FireRedTeam/FireRed-Image-Edit-1.0", torch_dtype=torch.bfloat16,
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).to("cuda")
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pipe.load_lora_weights(
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"FireRedTeam/FireRed-Image-Edit-1.0-Lightning",
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)
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prompt = "在书本封面Python的下方,添加一行英文文字2nd Edition"
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width = None,
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num_inference_steps = 8,
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generator=torch.manual_seed(0),
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true_cfg_scale=1.0, #
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).images[0]
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image.save("firered_image_edit_fewsteps.png")
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```
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base_model:
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- FireRedTeam/FireRed-Image-Edit-1.0
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language:
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- en
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- zh
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library_name: diffusers
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license: apache-2.0
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pipeline_tag: image-to-image
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tags:
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- FireRed-Image-Edit-1.0
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- distillation
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- LoRA
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# FireRed-Image-Edit-1.0-Lightning
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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.
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For more technical details, please refer to the [FireRed-Image-Edit-1.0 Technical Report](https://huggingface.co/papers/2602.13344).
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- **Project Page:** [FireRed-Image-Edit-1.0 Space](https://huggingface.co/spaces/FireRedTeam/FireRed-Image-Edit-1.0)
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- **Repository:** [FireRedTeam/FireRed-Image-Edit](https://github.com/FireRedTeam/FireRed-Image-Edit)
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- **Paper:** [FireRed-Image-Edit-1.0 Technical Report](https://huggingface.co/papers/2602.13344)
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## Use with diffusers 🧨
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To use this distilled LoRA, make sure to install `diffusers` from `main`:
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```bash
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pip install git+https://github.com/huggingface/diffusers.git
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```
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```python
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from diffusers import QwenImageEditPlusPipeline
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import torch
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from PIL import Image
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pipe = QwenImageEditPlusPipeline.from_pretrained(
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"FireRedTeam/FireRed-Image-Edit-1.0", torch_dtype=torch.bfloat16,
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).to("cuda")
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# Load the distilled Lightning LoRA weights
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pipe.load_lora_weights(
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"FireRedTeam/FireRed-Image-Edit-1.0-Lightning",
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weight_name="FireRed-Image-Edit-1.0-Lightning-8steps-v1.0.safetensors"
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)
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prompt = "在书本封面Python的下方,添加一行英文文字2nd Edition"
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width = None,
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num_inference_steps = 8,
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generator=torch.manual_seed(0),
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true_cfg_scale=1.0, # Do not use standard CFG for Lightning LoRA
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).images[0]
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image.save("firered_image_edit_fewsteps.png")
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```
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## Citation
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If you find this work useful, please consider citing:
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```bibtex
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@article{firered2026rededit,
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title={FireRed-Image-Edit-1.0 Technical Report},
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author={Super Intelligence Team},
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year={2026},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2602.13344},
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}
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```
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