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library_name: diffusers
base_model: Qwen/Qwen-Image-Edit-2511
pipeline_tag: image-to-image
tags:
- pathology
- microscopy
- image-segmentation
- instance-segmentation
- lora
- qwen-image-edit
---
# Spatial Banana biomedical segmentation adapters
This repository stores Patho-Banana task LoRAs for adapting
Qwen-Image-Edit-2511 to direct biomedical instance-mask generation. The
adapters are not standalone pipelines: inference requires the frozen Qwen base,
the official four-step Qwen-Image-Edit-2511 Lightning LoRA, task-specific
prompts, aspect-aware geometry, and deterministic RGB-to-instance decoding.
## Recommended release
Use **Mix704 step-8,800 rank 128** for the current multimodal segmentation
protocol:
```text
experiments/multimodal/e6_sourcecap32_e125_v1/runs/mix704_step8800/final/pytorch_lora_weights.safetensors
```
| Field | Value |
| --- | --- |
| Size | 1,699,695,208 bytes |
| SHA-256 | `cb21fc1044e7f7721f0242b05581fa386e240eb35da4d9a6ef9cd27ddddfe830` |
| Training mixture | 128 PanNuke H&E plus 576 source-balanced non-H&E images |
| Task LoRA | rank 128, alpha 128, dropout 0 |
| Inference | BF16, 4 steps, seeds 42/314159/271828 |
| Decoder | `qwen_topology16_majority_v1` |
## Results
On the previously viewed 822-image CellSAM non-H&E cohort:
| Method | Image-mean F1 | Pooled F1 | PQ | AJI+ | FG Dice |
| --- | ---: | ---: | ---: | ---: | ---: |
| Mix704 step 8,800 | 0.8428 | 0.8165 | 0.6914 | 0.7072 | 0.8793 |
| Mix448 E6 | 0.7538 | 0.7049 | 0.5943 | 0.6229 | 0.8099 |
| CellSAM v1.2 official | 0.8927 | 0.8926 | 0.7465 | 0.7692 | 0.9070 |
This is retrospective same-protocol evidence, not blinded SOTA or clinical
validation. Qwen remains below CellSAM overall.
## Download
The source repository provides pinned HF-Mirror commands, SHA-256 verification,
local path placement, and preflight instructions:
- [Weight download guide](https://github.com/Biogod2020/spatial-banana/blob/main/docs/WEIGHTS.md)
- [Full model card](https://github.com/Biogod2020/spatial-banana/blob/main/docs/model_cards/MIX704_STEP8800_R128.md)
- [Current results](https://github.com/Biogod2020/spatial-banana/blob/main/docs/CURRENT_STATUS.md)
## Archive contents
The other LoRAs cover nuclei few-shot experiments, epoch-aligned training,
Data-Frontier 256, MM144 adaptation, source-balance screening, all eight
Mix448 screen arms, and development-only biological applications. They are
development or recovery artifacts unless their evidence package explicitly
says otherwise. The presence of a weight does not mean it passed a scientific
gate.
`ARCHIVE_MANIFEST.tsv` records every archived weight path, byte size, and
SHA-256. Resolved configs, prompts, metrics, per-image rows, and completion
audits remain in the GitHub source repository.
## Limitations and terms
The recommended adapter requires the Qwen base and Lightning LoRA and remains
subject to their licenses and terms. It is not intended for clinical diagnosis
or treatment decisions. This release grants no rights to upstream models or
training/evaluation datasets.
|