Add model card

README.md

@@ -0,0 +1,46 @@
+---
+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}
+}
+```