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library_name: diffusers
license: other
license_name: research-use
tags:
- object-detection
- bounding-boxes
- grounding
- diffusion
- synthetic-data
---
# socknethd
Higher-resolution joint image + bounding-box diffusion model with a LoRA adapter, a confidence stream, and Nash-MTL multi-task loss weighting.
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 | 4,125,000 |
| Training run | [W&B](https://wandb.ai/diffusionexp/train_boxnethd/runs/c60hovpk) |
## Contents
| Path | Size | What it is |
|---|---|---|
| `boxnet/` | 16.1 GB | Joint image + bounding-box diffusion backbone |
| `pytorch_lora_weights.safetensors` | 2.8 GB | LoRA adapter weights |
| `nash_mtl_weights_conf_ema.pkl` | 432 B | Nash-MTL task-weighting coefficients |
| `nash_mtl_weights_ema.pkl` | 424 B | Nash-MTL task-weighting coefficients |
**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_socknethd,
title = {socknethd},
author = {Wang, Franklin and Zhong, Desmond and Murdoch, Jamie},
year = {2026},
url = {https://huggingface.co/BreakpointAI/socknethd}
}
```
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