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Open the Output settings panel in Studio to configure how your photoshoot is generated. All settings are locked into the generation session the moment you click Generate — changing any setting after generation starts has no effect on the active job. The panel header shows a live summary of the current configuration: gpt-image-2 · 3:4 · 2K · medium quality.

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Generation model

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select
default:"gpt-image-2"
The AI model used to generate all five pose images.
  • GPT Image 2 (gpt-image-2) — default model, optimized for photorealistic fashion imagery following OpenAI’s virtual clothing try-on guidance
  • Reve 2.1 Image (reve-2.1-image) — alternative model for experimentation

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Aspect ratio

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select
default:"3:4"
Controls the output image dimensions. Choose based on your primary publishing destination.
If you publish to multiple channels, generate at 3:4 for marketplaces first, then re-run at 9:16 for social. The consistency anchor from Pose 1 keeps the model and scene identical across both runs.

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Resolution

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select
default:"2K"
Output resolution.
  • 2K — high-resolution output suitable for marketplace listings and print
  • 1K — lower resolution for quick drafts and internal review

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Generation quality

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select
default:"medium"
Controls the level of detail, generation time, and cost per image.
  • Low — fastest draft quality, lowest cost; use for rapid iteration
  • Medium — balanced default; suitable for most catalog and marketplace requirements
  • High — maximum detail and accuracy; highest cost; use for hero images or premium campaigns
Medium is the default and the right choice for most catalog runs.

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Model identity

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select
Describes the model used for every pose in the session. All five frames are generated to match this identity.To lock a specific face rather than an ethnicity description, upload a Model face lock image in the Product references section.
Changing model identity marks the current analysis stale and triggers an automatic re-analysis before generation can start, because the model description is part of how Gemini plans the shoot.

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Background style

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select
Determines the backdrop, environment, and lighting direction used across all five poses.You can also type a custom scene description directly in the Scene direction field in the Analysis & Pose Plan panel after analysis runs.
Changing background style marks the current analysis stale — Gemini re-analyzes with the new scene direction before generation can start.

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Pose QA

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boolean
default:"false"
When enabled, Gemini runs a consistency validation check on every generated pose image before it is marked complete. QA checks the generated image against the Product Identity Profile and the approved consistency anchor.
  • Enabled — each pose goes through an extra Gemini QA pass; poses that fail are automatically retried with a minimum 30-second backoff
  • Disabled — poses are delivered without automatic validation; QA status is shown as “Unverified” in History
Pose QA adds time per pose. Enable it for final production runs where garment accuracy is critical. Leave it off for rapid drafts or internal review rounds.

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Styling plan editor

After analysis completes and the result is current, the Footwear, jewellery & styling panel appears below the Output settings. Gemini proposes a specific footwear, jewellery, and accessory plan based on your product photos and style references.
Edit the styling plan before you generate — these exact pieces are locked into all five frames. The styling plan is saved independently of the product analysis, so editing it does not mark the analysis stale or trigger a re-analysis.
The styling plan includes:
  • Footwear style and color
  • Necklace, earrings, bangles, and ring descriptions
  • Handbag or clutch
  • Additional accessories (dupatta, belt, hair accessories)
  • Nail color
Click Save for this shoot to persist your edits before generating.