Our methodology
A visual workflow built for review, not blind automation.
Fashion Labs combines product references, creative direction, controlled generation, and human review so brands can make informed decisions about the images they use.
What we mean by production quality.
A useful AI visual is more than an attractive image. It needs to represent the product honestly, fit the brief, work in its intended channel, and be reviewed before it becomes part of a brand campaign.
- Product reference fidelity
- Model and styling continuity
- Scene and composition control
- Human selection before publishing
- Clear usage and licensing expectations
- Transparent limitations
Questions about Our methodology
How does Fashion Labs evaluate product fidelity?
Review focuses on whether the generated result represents the supplied product’s visible shape, color, construction, and key design details. Teams should always inspect the final output before publishing.
Does Fashion Labs guarantee every generated image?
No. Generative systems can produce imperfect results. Fashion Labs includes review and iteration so brands can select suitable outputs rather than treating every result as automatically publishable.
What should brands do with inaccurate results?
Do not publish them. Provide clearer references or direction, adjust the scene, and review the next result. Product-critical campaigns should use an appropriate human approval process.
How are model rights handled?
Use the model and asset licensing information presented in the applicable Fashion Labs workflow. Confirm that the selected rights cover your intended campaign, channels, geography, and duration.
Where can I see current pricing?
Open Fashion Labs Studio to view the current available options for your account and workflow. Pricing and usage allowances may change over time.
Is there a free way to try Fashion Labs?
Available trial and free usage options are shown in the current Studio experience. The exact availability can depend on account and product conditions.