Image-to-Image
Diffusers
Safetensors
flux
semantic-segmentation
instance-segmentation
referring-segmentation
depth-estimation
surface-normal-estimation
image-editing
text-to-image
Instructions to use FunAILab/Open-Vision-Banana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FunAILab/Open-Vision-Banana 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("FunAILab/Open-Vision-Banana", 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 citation block with the arXiv BibTeX entry
Browse files
README.md
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## 📄 License
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The released weights are derived from FLUX.2 [klein] Base and are distributed under the [FLUX Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B/blob/main/LICENSE.md).
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## 📄 License
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The released weights are derived from FLUX.2 [klein] Base and are distributed under the [FLUX Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B/blob/main/LICENSE.md).
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## 📚 Citation
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If you use Open Vision Banana in your research, please cite:
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```bibtex
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@misc{jadon2026openvisionbananafully,
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title={Open Vision Banana: A Fully Open Recipe for Generative Visual Perception},
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author={Arpit Jadon and Valentinos Pariza and Jona Ruthardt and Ryousuke Yamada and A. Sophia Koepke and Andrei Bursuc and Yuki M. Asano},
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year={2026},
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eprint={2611.15844},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2611.15844},
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}
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```
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