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UGC campaign image presenting a skincare pouch at home
All use cases
Use case 01UGC ad creative

Generate AI UGC Ads That Look Handheld, Not Rendered

Generate UGC-style ad creatives with one AI persona: hook stills from 12 credits, real product-in-hand shots at 56 credits, for Meta, TikTok and YouTube.

56 credits
per UGC product image
9:16 & 1:1
native ad ratios
5s / 10s
image-to-video clips
The opportunity

A practical production guide for ai ugc ads — grounded in the current product, current credit costs and honest limits.

InfluencerForge.app generates UGC-style ad creatives from one trained AI persona: selfie-framed, handheld and lifestyle stills are ordinary photoshoot images at 12–14 credits, and shots that have to show your actual product cost 56 credits — you attach one product photo and the render reproduces it.

Paid social rewards creative volume. A typical Meta or TikTok test burns through 20–40 ad variants before a winner emerges — and sourcing that many authentic-looking assets from real creators costs thousands per round and weeks of coordination.

InfluencerForge.app replaces that bottleneck with one trained AI persona. Generate selfie-framed testimonial-style scenes and casual lifestyle moments that read as handheld phone content, and when the shot has to show your actual product, attach one product photo — the render reproduces that exact product, label and all, in the persona's hands. Every variant carries the same recognizable face, so your ad account builds familiarity instead of showing a different stranger in every ad.

Every render on a paid plan ships with a commercial license, so the assets are cleared for paid campaigns the moment they leave the gallery.

Built for the feed

A campaign should feel like a world, not a batch.

Pair a locked identity with deliberate art direction. The result is range without losing the person audiences recognize.

UGC campaign image presenting a bright dental care box
Campaign frame / 01
UGC campaign image presenting a blue beauty product
Social cut / 02
Home-style UGC creator presenting a green skincare product
Variation / 03

Selected work from the InfluencerForge lookbook

What you can do today

The whole workflow. No feature theater.

Every capability below is live now. Costs and output formats are stated directly so you can plan a real production run.

Capability 01

Attach one product photo — the render reproduces your actual product in the persona's hands, 56 credits per image

Capability 02

Selfie, handheld and creator-room framing from the Selfie & UGC prompt presets — an ordinary photoshoot image at 12–14 credits when no real product is in frame

Capability 03

Same trained persona across every variant — no face drift between ads

Capability 04

Vertical (9:16), square (1:1) and 4:5 outputs for every placement

Capability 05

Turn a winning still into a 5s or 10s motion clip with image-to-video

Capability 06

Collections + one-click ZIP export straight into your ads manager workflow

From brief to export

Four moves. One repeatable system.

Build your first persona
  1. 01

    Train your persona once

    Upload reference images and train a private AI model (720 credits, one-time). Credits are refunded automatically if training fails.

  2. 02

    Batch-generate ad variants

    Test hooks and framings first as standard stills — at 12 credits (720p) to 14 (1080p), a 30-variant round costs 360–420 credits. Then attach your product photo and re-render the finalists as true product shots at 56 credits each.

  3. 03

    Animate the winners

    Promote your best stills to short clips with image-to-video (210 credits per 5s clip, 420 per 10s) for placements that need motion.

  4. 04

    Export and launch

    Group variants into collections, export as ZIP and upload to Meta, TikTok or YouTube. The commercial license on paid plans covers paid advertising.

Straight answers

Frequently asked. Clearly answered.

No invented performance claims, hidden production caveats or vague commercial-use language.

100 free credits · no card

Make the first frame today.

Start with showcase models, test the output quality, then train your own private persona when the workflow fits.