Instructions to use pradhaansbhat/Thinking-In-Boxes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pradhaansbhat/Thinking-In-Boxes 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("pradhaansbhat/Thinking-In-Boxes", 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
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# [NeurIPS-2026] Thinking in Boxes: 3D Editing in Real Images Made Easy
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[**Pradhaan S Bhat**](https://pradhaansbhat.github.io/)<sup>1</sup><sup>∗</sup> · [**Naveen Chandra R**](https://www.linkedin.com/in/naveen-chandra-r-7230aa192)<sup>1</sup><sup>∗</sup> · [**Rishubh Parihar**](https://rishubhpar.github.io/)<sup>1</sup> · [**Vaibhav Vavilala**](https://www.linkedin.com/in/vaibhav-vavilala)<sup>2</sup> · [**R. Venkatesh Babu**](https://cds.iisc.ac.in/faculty/venky/)<sup>1</sup> · [**D.A. Forsyth**](http://luthuli.cs.uiuc.edu/~daf/) · [**Anand Bhattad**](https://anandbhattad.github.io/)<sup>4</sup>
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<sup>1</sup> Indian Institute of Science
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[](https://huggingface.co/datasets/pradhaansbhat/Thinking-In-Boxes)
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[]()
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This is the trained LoRA used in the paper **Thinking In Boxes: 3D Editing in Real Images Made Easy**.
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Thinking-In-Boxes is an Image-to-Image Generative LoRA for `black-forest-labs/FLUX.1-Kontext-dev` trained for the task of Geometric Image Editing.
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## Usage with Diffusers 🧨
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Please refer to the [
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## Citation
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# [NeurIPS-2026] Thinking in Boxes: 3D Editing in Real Images Made Easy
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<div>
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<img src="assets/thumbnail.png" width="50%">
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</div>
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[**Pradhaan S Bhat**](https://pradhaansbhat.github.io/)<sup>1</sup><sup>∗</sup> · [**Naveen Chandra R**](https://www.linkedin.com/in/naveen-chandra-r-7230aa192)<sup>1</sup><sup>∗</sup> · [**Rishubh Parihar**](https://rishubhpar.github.io/)<sup>1</sup> · [**Vaibhav Vavilala**](https://www.linkedin.com/in/vaibhav-vavilala)<sup>2</sup> · [**R. Venkatesh Babu**](https://cds.iisc.ac.in/faculty/venky/)<sup>1</sup> · [**D.A. Forsyth**](http://luthuli.cs.uiuc.edu/~daf/) · [**Anand Bhattad**](https://anandbhattad.github.io/)<sup>4</sup>
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<sup>1</sup> Indian Institute of Science
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[](https://huggingface.co/datasets/pradhaansbhat/Thinking-In-Boxes)
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[]()
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<div>
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<img src="assets/teaser.png" width="50%">
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</div>
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This is the trained LoRA used in the paper **Thinking In Boxes: 3D Editing in Real Images Made Easy**.
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Thinking-In-Boxes is an Image-to-Image Generative LoRA for `black-forest-labs/FLUX.1-Kontext-dev` trained for the task of Geometric Image Editing.
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## Usage with Diffusers 🧨
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Please refer to the [GitHub Repository](https://github.com/PradhaanSBhat/Thinking-In-Boxes) on setup, inference and training.
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## Citation
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