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README.md
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---
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library_name: diffusers
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license: other
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license_name: research-use
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tags:
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- object-detection
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- bounding-boxes
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- grounding
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- diffusion
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- synthetic-data
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---
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# socknethd
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Higher-resolution joint image + bounding-box diffusion model with a LoRA adapter, a confidence stream, and Nash-MTL multi-task loss weighting.
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Released by [Breakpoint AI](https://huggingface.co/BreakpointAI) as part of open-sourcing the company's research
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artifacts.
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|---|---|
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| Training data | [`BreakpointAI/breakpoint-grounding-55m`](https://huggingface.co/datasets/BreakpointAI/breakpoint-grounding-55m) |
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| Checkpoint step | 4,125,000 |
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| Training run | [W&B](https://wandb.ai/diffusionexp/train_boxnethd/runs/c60hovpk) |
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## Contents
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| Path | Size | What it is |
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|---|---|---|
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| `boxnet/` | 16.1 GB | Joint image + bounding-box diffusion backbone |
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| `pytorch_lora_weights.safetensors` | 2.8 GB | LoRA adapter weights |
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| `nash_mtl_weights_conf_ema.pkl` | 432 B | Nash-MTL task-weighting coefficients |
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| `nash_mtl_weights_ema.pkl` | 424 B | Nash-MTL task-weighting coefficients |
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**Inference weights only.** Optimizer, LR scheduler, RNG and dataloader state were not
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uploaded, so this checkpoint cannot be used to resume training.
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## Citation
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```bibtex
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@misc{breakpoint_socknethd,
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title = {socknethd},
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author = {Wang, Franklin and Zhong, Desmond and Murdoch, Jamie},
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year = {2026},
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url = {https://huggingface.co/BreakpointAI/socknethd}
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}
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```
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