Free tool — No design skills required

Generate polished group photos for teams, events and campaigns

Use compact prompt recipes and editable workflows to produce cohesive team portraits, headshot grids, event stage photos and print-ready banners. Upload your photos, harmonize lighting and export the right file for web, social or print.

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Quick workflow

How it works

Choose a prompt template or upload reference headshots, generate variants, refine artifacts with editing prompts, and export using presets tailored to web, social and print.

Select a prompt cluster (corporate, casual, event, panorama, headshot grid).
Provide reference images or adjust the template variables: people count, focal length, background, mood.
Run generation, inspect variants, and apply negative prompts to remove artifacts.
Use the editable workflow to replace backgrounds, harmonize lighting and batch-export assets.

Practical prompt recipes

Prompt templates for consistent group photos

Use these compact, copy-ready prompts as starting points. Each template includes framing, lighting, camera settings and output dimensions to reduce iteration.

Corporate team portrait — studio-style (6 people)

Two-row studio group with cohesive lighting and shallow depth of field.

"6 professional adults (mix genders, diverse ethnicities), arranged in two rows; studio softbox lighting, warm-cool balance, neutral gray backdrop, business casual outfits; focal length 85mm, shallow depth of field, natural smiles, cohesive color grading; output 4000x2667 px, 3:2 aspect"
Use to create leadership photos, About pages and campaign hero banners.

Casual outdoor group — social media (5 people)

Candid, natural-light composition for social channels.

"5 friends in front of an urban mural, golden-hour sunlight, candid laughter, mixed casual clothing, balanced skin tones, wide-angle 35mm, slight motion blur for energy; background slightly desaturated to emphasize faces; output 1920x1080 px, 16:9"
Good for event recaps, Instagram reels thumbnails and organic posts.

Headshot grid / ID-style — consistent framing (12 people)

Generate consistent 1:1 headshots for directories or team pages.

"Headshots for 12 employees, neutral white background, even frontal lighting, 1:1 crop, eyes at 1/3 height, consistent shoulder framing, natural expressions; output 1024x1024 px each; keep proportions and skin tones consistent across all images"
Export each as separate files for CMS ingestion or sprite sheets.

Large crowd panorama — staged team (40 people)

Wide panoramic composition that preserves facial legibility at medium zoom.

"Wide panoramic shot of 40-person team, staged on three risers, balanced daylight, fill flash to avoid shadows, captured as 6000x2000 px panorama, maintain facial legibility at medium zoom; slight vignetting for focus"
Use for company events, annual reports and large banners.

Photo edit — replace background and harmonize lighting

Step-by-step edit prompts to blend uploaded subjects into a clean studio backdrop.

"Replace background with clean studio backdrop: match subject rim light, normalize color temperature to 5600K, blend shadows under feet, retain original skin tone, remove stray hair artifacts; save layered PSD with masks"
Recommended when you must preserve real faces and capture brand-consistent backgrounds.

File presets and editing prompts

Editing & export guidance

Choose the right output for the destination and follow exact export presets for print and digital to avoid rework.

Social: 1920x1080 px (16:9) or square 1080x1080 for Instagram; export as high-quality JPEG or PNG sRGB.
Web hero banners: crop to 1600x600 px, provide 2x (retina) variants when needed.
Print: for large-format print (24x36 in at 200 DPI) supply flattened TIFF at 7200x10800 px, convert to CMYK and include 0.125 in bleed; keep a layered PSD for final retouch.
Headshot directories: 1024x1024 px 1:1 crops with eyes at 1/3 height; supply filenames mapped to user IDs for CMS import.

Background replace & lighting harmonization

Editable workflow prompts to match subject to new background and camera perspective.

Upload subject images; run: "isolate subject, create mask, place on neutral studio backdrop, match rim light direction and intensity to 5600K, blend shadows with soft brush at 30% opacity".
Export layered PSD with masks and a flattened TIFF for print.

Face-consistency for campaign variants

Keep the same facial features across multiple generated scenes.

"Produce 4 variants of the same 3-person team in different settings (studio, rooftop, meeting room, outdoor): keep facial features, hairlines and relative heights consistent; unify color grading and relative lighting direction; label outputs variant-A..D".

Consent-first best practices

Safety, consent & likeness guidance

Respect likeness rights and privacy when generating or editing photos. Use these patterns and controls to reduce legal and ethical risk.

Obtain written consent before using AI edits of real employees in public assets.
Use the consent-safe prompt pattern: "Create group photo of non-identifiable professional models; do not reproduce faces of public figures or named individuals; use generic facial features and disclaimers when generating near-realistic likenesses."
Avoid requests that recreate a specific person’s face; prefer 'generic professional model' or use supplied references with explicit consent.
When uploading staff photos, follow your organization’s privacy policy and remove EXIF or identifiable metadata if required.

Reduce extra limbs, warped faces and mismatched lighting

Troubleshooting & artifact mitigation

Common generation artifacts can be addressed with targeted negative prompts and iterative edits.

Use negative prompts: "extra limbs, fused fingers, distorted face, unnatural teeth, floating hands, mismatched earrings".
Enforce structural constraints: "single neck per head, symmetric eyes, consistent shadowing, realistic clothing folds".
If faces look warped, regenerate at higher resolution, add reference headshots, or run a dedicated face-harmonization edit step.
For clothing and accessory mismatches, add explicit clothing descriptors and remove ambiguous tokens from positive prompts.

How to integrate with your asset pipeline

Source ecosystems and production workflows

Bring generated images into your existing production systems—marketing CMS, in-house photo libraries, print labs and social platforms—using consistent naming and export presets.

Map outputs to CMS fields: filename, crop variant, alt text and licensing notes.
Keep a master layered PSD for print handoffs and a flattened web-ready JPEG/PNG for digital use.
Use reference image sets (existing team headshots, uniform backgrounds) to maintain brand continuity across campaigns.

FAQ

Can I use AI-generated group photos in commercial ads and brochures?

Yes, but review licensing of the generator you used and confirm you have rights to any uploaded reference photos. For images of real people, obtain written consent from subjects before publishing. For print work, follow the export presets (TIFF, CMYK, bleed) and keep layered files for final retouch by your printer.

How do I avoid recreating a real person’s face or violating likeness rights?

Use the consent-safe prompt pattern: request non-identifiable models and avoid naming or describing real persons. If you supply employee photos, secure explicit consent and document it. Never attempt to reproduce public figures or identifiable private individuals without permission.

What file formats and resolutions should I export for web, social and print?

Web: high-quality JPEG/PNG in sRGB (e.g., 1600x600 px for hero banners). Social: 1920x1080 px or square 1080x1080 px. Headshot grids: 1024x1024 px. Print: flattened TIFF at target production resolution (example: 24x36 in at 200 DPI → 7200x10800 px), convert to CMYK and include bleed; retain layered PSD for retouchers.

How can I get consistent lighting and skin tones across an entire campaign?

Start from shared reference images and use face-consistency prompt recipes. Lock camera settings (focal length, depth of field), describe lighting direction and temperature consistently (e.g., 5600K), and apply a single color grade across variants. For photos of real people, harmonize using a lighting-match edit that normalizes color temperature and shadow depth.

Can I upload an existing group photo to edit or remove people?

Yes. Use editing prompts to isolate subjects, remove or replace background, and perform content-aware fills. For removing people, export layered PSDs and keep original copies. Ensure you have permission from the photographed subjects and document edits for legal traceability.

What to do if generated images show artifacts (extra limbs, warped faces)?

Apply negative prompts to filter common artefacts and regenerate. Add reference headshots for face consistency and increase output resolution. Use targeted edit prompts to correct geometry and run face-harmonization passes rather than broad re-renders.

Are there privacy or data recommendations when uploading team photos?

Strip identifying metadata, store images on your secured asset platform, limit access to who needs it, and obtain written consent for public use. Follow your company privacy policy and local data-protection regulations when sharing images externally.

How many people and what poses work best for portrait-style vs wide-group compositions?

Portrait-style (studio) works well for 2–8 people with two rows and controlled lighting; use focal lengths around 85–105mm for flattering compression. Wide-group (panorama) compositions scale to dozens—stage subjects on risers for visibility and use wider focal lengths with careful lighting to maintain facial legibility.

PricingCompare plans and export limits.
About TextaLearn about our approach to safe image generation.
BlogGuides on AI image best practices and case studies.
Generator comparisonHow to evaluate AI image tools for team photography.
IndustriesExamples of group-photo workflows by industry.