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library_name: diffusers
license: other
license_name: research-use
tags:
- object-detection
- bounding-boxes
- grounding
- diffusion
- synthetic-data
---
# boxnethd
Higher-resolution joint image + bounding-box diffusion model with a LoRA adapter. Includes EMA weights.
Released by [Breakpoint AI](https://huggingface.co/BreakpointAI) as part of open-sourcing the company's research
artifacts.
| | |
|---|---|
| Training data | [`BreakpointAI/breakpoint-grounding-55m`](https://huggingface.co/datasets/BreakpointAI/breakpoint-grounding-55m) |
| Checkpoint step | 475,000 |
| Training run | [W&B](https://wandb.ai/diffusionexp/train_boxnethd/runs/5wage8go) |
## Contents
| Path | Size | What it is |
|---|---|---|
| `ema/` | 8.6 GB | EMA weights for the backbone |
| `boxnet/` | 7.4 GB | Joint image + bounding-box diffusion backbone |
| `pytorch_lora_weights.safetensors` | 1.2 GB | LoRA adapter weights |
**Inference weights only.** Optimizer, LR scheduler, RNG and dataloader state were not
uploaded, so this checkpoint cannot be used to resume training.
## Citation
```bibtex
@misc{breakpoint_boxnethd,
title = {boxnethd},
author = {Wang, Franklin and Zhong, Desmond and Murdoch, Jamie},
year = {2026},
url = {https://huggingface.co/BreakpointAI/boxnethd}
}
```
|