AIImage 2
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· AIImage Team #Hàng loạt#Thinking#Sản xuất

In AI Image 2, “batch” is not pressing send repeatedly—it is keeping character, style, and layout logic coherent under one brief. AI Chat Thinking mode publicly supports up to roughly 8 related images per request (UI may vary)—ideal for poster series, comic panels, and e-commerce scene sets.

This tutorial stays entirely inside AI Chat chat—no coding APIs.

When batching is worth it

ScenarioCountValue
Social weekly schedule5–8Unified visual language
Comics / storyboards4–8Character consistency
E-commerce SKU scenes6–10One product, many lifestyles
A/B hero visuals3–4Same copy, different palettes

If images are unrelated, generate singles—no forced batching.

Prep: one “series brief sheet”

#UseRatioCopy diffNotes
1Feed header16:9Slogan A
2Square post1:1No text

Reference this sheet inside the batch prompt so the model plans rhythm.

Core prompt template (series campaign)

Enable Thinking mode. Generate 6 coherent social images for "Summer Iced Drink" campaign, unified 4:5 aspect.

[Brand] Brand colors #00A8E8 and white, fresh realistic photography, no garbled text.

[Series plan]
1. Product close-up with ice bubbles
2. Beach handheld drink
3. Friends toasting
4. Convenience store cooler display
5. Subtitle-style slogan image, copy "One Sip of Summer"
6. Promo end card, copy "Second cup half price"

[Consistency] Same glass cup shape, same liquid color; if people appear, same short-haired East Asian woman.

Label each image bottom with tiny index 1/6–6/6 for selection.

After sending, do not interrupt—canceling during Thinking wastes a long wait.

Storyboard / comic batch

Thinking mode, Japanese manga 4-panel vertical, story "late for the subway",
same male lead: black hair, glasses, blue shirt, khaki pants.
Dialogue under each panel (4 lines in quotes),
clear lines, consistent outfit between panels, progressive expressions.

If panel 3 changes the face, use region edit on that panel only, or follow-up: “Regenerate only panel 3, character locked to…”

E-commerce: one product, many scenes

Thinking mode, white wireless earbuds, generate 8 lifestyle 1:1 images:
office desk, commute subway, gym, café, outdoor run,
airplane tray, rainy window, minimal white hero.
Consistent product form, natural light, commercial photography.

After selection, follow up on weak scenes only—do not rerun the whole set.

Post-batch curation (10 minutes)

  1. First cut: delete garbled text, extra fingers, product distortion.
  2. Second pairing: map numbers 1–6 into channel slots.
  3. Unified post: add logo, legal lines, real prices in PS/Canva (never ship AI numbers raw).
  4. Archive: folder name 2026-618-campaign-v2-approved.

Speed tips

TipDetail
Brand block first80% of series text repeats—copy-paste brand block
Instant then ThinkingDraft composition in Instant; finalize in Thinking to save quota
Split batchesOver 8 images: second prompt starts with “Continue previous batch character and palette”
Reference uploadUpload approved hero: “Batch scenes using this product appearance”

Common failures and fixes

SymptomCauseFix
8 images style jumpBrief too scatteredAdd “same photographer, same grade”
Only first 3 goodModel fatigueSplit into two batches
Text degrades per imageCopy too longOnly 1–2 images with text, rest text-free
Character not same personVague descriptionSpecify hair, outfit, accessories

Cost mindset vs singles

Batch waits longer once, but total rounds are fewer than “20 single retries.” Real ops cost is often curation and copy edits—batching concentrates effort on curation, not luck.

Next steps

When you reliably deliver 6 usable, style-unified images, you have small-campaign AI production capability.