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Editing](https://img.shields.io/badge/zero%20shot-image%20editing-Green)]([https://github.com/topics/video-editing](https://github.com/topics/text-guided-image-editing))\n[![Python](https://img.shields.io/badge/python-3.8+-blue?python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54)](https://www.python.org/downloads/release/python-38/)\n![PyTorch](https://img.shields.io/badge/torch-2.0.0-red?PyTorch-%23EE4C2C.svg?style=for-the-badge\u0026logo=PyTorch\u0026logoColor=white)\n\n## How to use\n\nMake sure you have [cog](https://github.com/replicate/cog) installed.\n\nTo run a prediction:\n\n    cog predict -i image=\"./image.png\" -i model_type=\"FLUX\" -i source_prompt=\"a cat sitting in the grass\"  -i target_prompt=\"a puppy sitting in the grass\"\n\n![](./output.png)\n\n## Recommend settings \n\n### FLUX\n\n- Steps = 28\n- Guidance (CFG) = 1.5\n- TAR guidance = 5.5\n– n_max = 24\n\n### SD3\n\n- Steps = 50\n- Guidance (CFG) = 3.5\n- TAR guidance = 13.5\n– n_max = 33\n\n\n## Credits: FlowEdit\n\n[Project](https://matankleiner.github.io/flowedit/) | [Arxiv](https://arxiv.org/abs/2412.08629) | [Demo](https://huggingface.co/spaces/fallenshock/FlowEdit) | [ComfyUI](#comfyui-implementation-for-different-models)\n\n\n### Official Pytorch implementation of the paper: \"FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models\"\n\n![](https://github.com/fallenshock/FlowEdit/raw/main/imgs/teaser.png)\n\n\n## License\n\nThe code in this repository is licensed under the [Apache-2.0 License](LICENSE).\n\nFlux Dev falls under the [`FLUX.1 [dev]` Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).\n\n`FLUX.1 [dev]` fine-tuned weights and their outputs are non-commercial by default, but can be used commercially when running on 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