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Photography & Imaging

H2 Glow UGC Content Engine

One product reference guides UGC scenes across four camera angles.

Best for: Consumer brands, wellness products, beauty brands, and UGC-led social campaigns

Product reference
H2 Glow UGC Content Engine output

Turn a product reference into authentic-looking smartphone UGC. The H2 Glow flow uses product, character, pose, and environment references to guide scene generation, then refines Dutch-angle, worm's-eye, low-angle, and bird's-eye images with product integration.

What you provide

  • Product reference image
  • Character and pose references
  • Environment moodboard
  • Location and scene direction

What you get back

  • Four refined UGC lifestyle images across Dutch, worm's-eye, low, and bird's-eye angles
  • Product branding, scale, hand occlusion, lighting, and shadows preserved through the swap
  • Square social-ready outputs for creative testing

Output examples

The hero previews this set. Here, each image is shown at full size.

  • A woman drinks a H2 Glow Tropical Punch at the beach while holding the sachet.
    Beach product scene
  • A woman holds a H2 Glow Tropical Punch sachet beside a resort pool.
    Poolside product scene
  • A woman holds a H2 Glow Tropical Punch sachet near her face on a palm-lined beach.
    Close-up beach scene
  • Overhead view of a woman holding a H2 Glow Tropical Punch sachet while seated on the sand.
    Overhead beach scene

How it works

01
Your inputs
Product reference

Product reference image · Character and pose references · Environment moodboard

02
Brand context

Your brand rules, palette, product facts, and approved references — applied to every prompt in the run.

03
Bounded generation
  1. 01Product and Character Lock
  2. 02UGC Scene Generation
  3. 03Product Swap
  4. 04Four-Angle Refinement

Gemini 3 Flash · Nano Banana 2 · GPT Image 2

04
Automated quality pass

Automated evaluation pass against the brief.

05
Human approval gate

Final output requires human approval before delivery.

06
Delivery
H2 Glow UGC Content Engine — delivered output

Four refined UGC lifestyle images across Dutch, worm's-eye, low, and bird's-eye angles

The path from supplied inputs to delivered output. Step details follow.

  1. 01

    Product and Character Lock

    Reference assets establish the product identity, character, pose, environment, and scene constraints before generation.

  2. 02

    UGC Scene Generation

    Nano Banana 2 creates candid smartphone-style scenes from the locked character, environment, pose, and location direction.

  3. 03

    Product Swap

    The placeholder product is replaced with the H2Glow Tropical Punch pack while preserving scale, tilt, occlusion, native lighting, and shadows.

  4. 04

    Four-Angle Refinement

    GPT Image 2 refines Dutch-angle, worm's-eye, low-angle, and bird's-eye outputs for final social-ready delivery.

Human approval gate. Final output requires human approval before delivery.

Inside the Pletor flow

Pletor workflow editor showing the connected H2 Glow UGC generation flow and its image outputs.

The screenshot shows the published workflow in its Pletor editor.Open flow in Pletor ↗

Brand, factual, and quality controls

  • Automated evaluation pass against the brief.
  • Human quality review before delivery.

What this workflow does not automate

  • Requires approved product, character, and reference assets as inputs — it does not originate a brand identity from scratch.

What you own

  • Provide approved source assets and scene direction.
  • Review and approve outputs before publish.

Typical turnaround

Conventional
1–2 weeks
With this workflow
Same day

Illustrative ranges based on comparable production work, not a guaranteed delivery time. Actual turnaround is scoped per engagement.

Operating evidence

No measured performance results are published for this workflow. The images above show production outputs.

Related workflows

Part of the Creative Production System.

Frequently asked questions

Prove this workflow on one bottleneck

Bring one recurring production task and your approximate monthly volume. You leave with a fit decision, not a custom architecture session.

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