Instructions to use FireRedTeam/FireRed-Image-Edit-1.0 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 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", 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] - Inference
- Notebooks
- Google Colab
- Kaggle
fix typo
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- 2026.02.10: We released the [Technical Report](https://github.com/FireRedTeam/FireRed-Image-Edit/blob/main/assets/FireRed_Image_Edit_1_0_Techinical_Report.pdf) of FireRed-Image-Edit-1.0.
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## 🎨 Showcase
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Some real outputs produced by FireRed-Image-Edit across
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<p align="center">
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<img src="./assets/showcase.png" width="800"/>
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<p>
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- 2026.02.10: We released the [Technical Report](https://github.com/FireRedTeam/FireRed-Image-Edit/blob/main/assets/FireRed_Image_Edit_1_0_Techinical_Report.pdf) of FireRed-Image-Edit-1.0.
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## 🎨 Showcase
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Some real outputs produced by FireRed-Image-Edit across general editing.
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<p align="center">
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<img src="./assets/showcase.png" width="800"/>
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<p>
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