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Image models
Published Jun 24, 2026
6 min read
Multi-Reference Image Generation Without Identity, Style, and Layout Conflicts
Assign identity, wardrobe, environment, prop, or style roles to every reference and reduce blending errors.
Key takeawayMore references are not automatically more accurate. Clear, compatible roles matter.
Why this deserves its own decision
Uploading a face, profile, alternate wardrobe, environment, and style image together leaves the model unsure what to combine and what to isolate. Conflicting references can average faces, blend clothing, or import the wrong background.
Decision framework
- Give each reference one primary role.
- Remove irrelevant or conflicting reference information.
- Validate identity first, then add style, environment, and props incrementally.
Putting it into a ModelRush workflow
The asset service stores role, subject_id, version, and approved_angles for each reference. A ModelRush job selects the smallest sufficient set and records each input purpose, making it possible to identify which reference caused drift.
What to measure after launch
- Identity and composition change as reference count increases.
- Failure share caused by reference conflicts.
- Contribution of each reference role to approval.
More references are not automatically more accurate. Clear, compatible roles matter.
Next steps
Move straight from this article to model details, current pricing, API documentation, and the Playground.Compare callable models
Apply the article's framework to live models by capability, I/O, price, and region.Keep reading
Continue building the surrounding decisions in your multi-model stack.
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