One model identity. Your entire catalog.

ShotRoom uses identity preservation technology that locks in the selected model's face, body type, and key physical characteristics at the time of model selection. This identity is stored as a consistent reference that every subsequent generation in your catalog draws from. You don't need to do anything differently for each garment — the platform handles identity consistency automatically. The same model face, the same body proportions, the same skin tone appear across every image.

Yes. Garment fidelity is the non-negotiable constraint in ShotRoom's generation pipeline. When identity consistency is applied, the garment is always the priority — the model adapts to the garment, not the other way around. The AI maintains the fabric drape, the embroidery positioning, the silhouette, and the component structure of your product across every image. You get a consistent model identity and an accurate product representation in every shot.

There is no limit. You can apply the same model identity to 10 garments or 10,000. The identity consistency is maintained across your entire catalog indefinitely. This is the core use case for brands that want to build a recognizable brand persona — one face that customers associate with your label, regardless of how many SKUs you add over time.

Yes. ShotRoom's iterative refinement feature lets you request adjustments to a generated image with credit protection. If you request a regeneration after reviewing the initial output, the system maintains the same model identity while adjusting the pose, lighting, or garment positioning based on your feedback. You don't lose the consistency you have built — you improve the quality within that consistent identity.

Research on fashion e-commerce consistently shows that catalog coherence is a strong proxy for brand trust. Stores with consistent model photography across their listings are perceived as more professional and premium than stores where each listing uses a different face, body type, or photography style. This perceived premium affects both first-purchase conversion and repeat purchase rates. For D2C fashion brands in particular, consistent model identity is a recognizable signal of brand investment.

Yes. Model identity is set at the session level, not locked to your account. If you want to reshoot your catalog with a different model identity for a seasonal campaign, festival collection, or brand refresh, you can create new sessions with a different model selection. Your old sessions with the previous model are preserved — you can run parallel catalog versions if needed.

Traditional methods of trying to maintain consistency — reusing the same reference photo, hiring the same model repeatedly — fail because the garment and context change each time. ShotRoom's identity preservation is built into the AI generation process itself, not retrofitted through reference matching. The model identity is encoded as a consistent set of visual parameters that govern every generation, regardless of what garment is being worn. The result is more consistent than even repeated studio shoots with the same model.

ShotRoom's model library includes South Asian skin tones across the full range — from fair to medium to deep — with multiple body types (petite, standard, and full-figured) and age groups. For consistent catalog use, you select one combination that represents your brand's target audience or brand persona, then that selection is applied across all garments. The library is curated specifically for Indian fashion brands, with models that represent the actual diversity of Indian consumers.