Spaces:
Running on Zero
A newer version of the Gradio SDK is available: 6.24.0
title: DiffusionGemma Radiology VQA
emoji: 🩻
colorFrom: red
colorTo: pink
sdk: gradio
sdk_version: 6.19.0
python_version: '3.12'
app_file: app.py
pinned: false
short_description: Radiology VQA & report infill with a discrete-diffusion LLM
startup_duration_timeout: 1h
DiffusionGemma · Radiology VQA & Interactive Report Infill
Interactive demo for the paper Discrete Diffusion Language Models for Interactive Radiology Report Drafting.
It runs the LoRA finetunes from
gevaertlab/diffusiongemma-radiology-vqa
on top of the image-conditioned discrete-diffusion backbone
google/diffusiongemma-26B-A4B-it
(DiffusionGemmaForBlockDiffusion).
What you can do
- Visual Question Answering — upload a medical scan (X-ray / CT / MRI), ask a question, get an answer. Pick the adapter trained on the dataset closest to your image style: VQA-RAD, SLAKE, or VQA-Med.
- Bidirectional report infill — the signature capability of discrete diffusion.
Write a partial report with a
[BLANK]marker; the model fills the hole using both the text before and after it (a true autoregressive model can only see the left context). This mirrors the paper's any-order infill sampler hook.
How it works
DiffusionGemma generates text by iteratively denoising a fixed "canvas" of tokens with
bidirectional attention, rather than left-to-right one token at a time. The infill mode
clamps known token positions to fixed values every denoising step (per
models/infill.py in the reference
implementation) so the model only fills the masked span.
Stack
- Backbone:
google/diffusiongemma-26B-A4B-it(25.2B total / 3.8B active MoE). - Adapters:
gevaertlab/diffusiongemma-radiology-vqa(diffusion-{vqarad,slake,vqamed}). - Hardware: ZeroGPU
xlarge— the 26B checkpoint (~49 GB bf16) needs the full card. - A custom
transformerswheel providing the DiffusionGemma architecture is bundled in this repo and installed at runtime byapp.py(Spaces installsrequirements.txtbefore the repo files are copied in, so a local-path wheel can't be referenced there).
Note
Research demo only — not a medical device and not for clinical use.