---
title: Text-to-Image Layout Control for Product Exploded Views
seo_title: Text-to-Image Layout Control for Product Exploded Views
description: Evaluate best text-to-image model for layout control with published model
  evidence and a task-specific review. Compare the workflow, verify the output, and
  retain the source record.
topic: Open Image Models
date: '2026-11-13'
lastmod: '2026-11-13'
author: Model Workflow Lab Editorial
author_type: Organization
faq:
- q: Does JSON Layout define assembly geometry?
  a: It specifies visual regions. Use the approved schematic to verify geometry and
    relationships.
- q: Why record missing parts separately?
  a: Object overlap scores can be hard to interpret without knowing which required
    objects were detected.
- q: Which version is the direct-generation starting point?
  a: Use MOSS-Image-SFT for the initial mockup.
category: library
copyright: Copyright 2026 ModelWorkflowLab.com; subject to stated permissions and
  exceptions.
---
# Text-to-Image Layout Control for Product Exploded Views

MOSS-Image is a strong candidate for structured product illustration. Its technical report ranks it first on both 7Bench layout metrics among six evaluated systems, with **0.88 detected-object mIoU and 0.70 layout AUC**. Use MOSS-Image-SFT for direct generation and review the geometry before approving a technical visual. [Technical report](https://arxiv.org/abs/2610.23374) · [Official model evaluation](https://www.moss.cn/models/moss-image)

![Proposed evaluation workflow showing define part regions, generate a visual mockup, check part relationships.](/assets/images/image-layout-product-exploded-views.svg)

## Turn a layout demonstration into a parts diagram brief

The official page pairs an annotated layout with its generated image. The developers’ user guide explains how absolute pixel coordinates represent layout regions. An exploded-view concept for a product manual extends that mechanism to a different task. Parts must appear in the right sequence, and a nearby label must refer to the intended object. [Published example](https://www.moss.cn/en/models/moss-image) · [Layout user guide](https://github.com/OpenMOSS/MOSS-Image/blob/main/USERGUIDE.md)

| Check | Evidence |
|---|---|
| Bounding-box overlap | Detected object sits in its intended region |
| Assembly sequence | Parts follow the approved schematic |
| Label association | Each caption refers to the intended part |
| Geometry | Technical reviewer confirms the depicted form |

Use a manufacturer-approved schematic as the reference for a proposed pilot. Give each major part its own region and add a label region next to it. When evaluating, count absent parts separately. A score measured on detected objects leaves detection failures as another review question. Keep generated artwork at the concept stage until it passes the normal technical illustration process. [ComfyUI implementation](https://github.com/OpenMOSS/MOSS-Image/blob/main/comfyui/README.md) · [SFT checkpoint](https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT)

See [template layout](/text-to-image-layout-control-for-template-design/), [format changes](/image-layout-control-across-aspect-ratios/), and [benchmark interpretation](/sota-open-weight-image-models-design-metric-tradeoffs/).

## English SEO keywords

best text-to-image model for layout control, exploded-view mockups, JSON bounding boxes.