Atlas turns a short accessory prompt into a Roblox UGC-ready mesh — classified into the right category, fitted to the mannequin, and scaled to exact stud dimensions automatically.

An LLM classifies the accessory into its Roblox category (Hat, Face, Back, Waist) and attachment point, expands the prompt into a 3D-ready concept, and looks up the exact bounding-box dimensions in studs for that category and mannequin.

A text-to-image node renders the standalone concept, then a multimodal pass fits it onto the mannequin at the correct attachment point, curving it to the avatar’s anatomy.

The mannequin body is removed while the fitted curvature is kept, and high-fidelity textures, glow effects and materials are restored from the original concept.

A low-poly Image-to-3D pass builds the textured mesh, then centers the origin, frontalizes orientation, and fits the final asset to the exact stud dimensions for its category and mannequin.
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