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Upload apparel image and create multi-look outfit sets

Tutorial

Backend planXiaohongshu / Douyin ecommerce / Taobao content images / Amazon social materials

Manual creation task production plan

Organizes materials, parameters, generation steps, asset saving, and video/delivery reuse for One Garment Many Looks.

Materials

GarmentUpload the garment for multi-look styling; up to 1 image(s).

SceneUpload outfit scene or composition reference; up to 1 image(s).

ModelUpload authorized model image; up to 1 image(s).

Product and publishing briefAdd product name, platform, category, style tag, and product facts to preserve.

Material rights confirmationConfirm product, person, pet, location, scene, template, and brand materials are owned or authorized.

Parameters

Scene task：One Garment Many Looks / Manual creation taskScene controls material slots; task mode controls output intent without overriding material rights or product facts.

Style policy：Commute / Date / Travel / WeekendStyle guides mood, composition, and polish without copying third-party private visuals.

Output format：4:5 ratio, three seeding images by default.Output count and result slots are submitted to backend tasks for asset-library and delivery-pack review.

Review gate：Clear product, stable scale, natural person/pet rendering, editable copy space, and no false claims.Saved results keep production-plan source so teammate handoff can trace this creation setup.

Steps

1Read One Garment Many Looks materials, Manual creation task task direction, and current product facts.
2Create three high-quality seeding images around product subject, lifestyle context, and editable copy space.
3Save results to current product assets while retaining task mode, scene, and production-plan source.

Routing

Manual creation task result set

Saved to current product image assets and project timeline.

Can continue into image-to-video, named delivery versions, teammate handoff, or ZIP export.

Use only current-team product profile and owned or authorized materials. Do not expose internal services, private links, execution details, or backend task packets to users. Do not invent product specs, certifications, sales, effects, SKU facts, influencer endorsements, or unconfirmed likeness rights.