🎨 ChatGPT Images 2.0 Prompts Pack — 30 Honest, Weakness-Aware Prompts for gpt-image-2

Your ChatGPT Images 2.0 Session — Morni 4-Panel Instagram Carousel

Capability Check

gpt-image-2 is the RIGHT tool for this specific job. Here's why:

✅ Multi-panel coherence: 4 consistent panels across one prompt = exactly what gpt-image-2's character-consistency feature enables. Midjourney would require 4 separate prompts + manual consistency work.

✅ Text rendering: 'Morni' brand name + 'Focus that lasts' tagline need to be legible and consistent across all 4 panels. gpt-image-2 text rendering is finally good enough for this in 2026.

✅ Brand constraints: Amber + forest green palette is specific enough to work with Thinking Mode's constraint-following.

⚠️ Important caveat: The actual bottle product shot requires product photography you shoot OR composite-work post-generation. gpt-image-2 cannot accurately reproduce a specific physical bottle from your SKU. What it CAN do: generate brand-consistent lifestyle scenes that frame the bottle space, which you then composite with your actual product photo.

❌ Logo reproduction: Do NOT rely on gpt-image-2 to reproduce your SVG logo pixel-accurately. Generate the layout without logo in the specific spot, then composite SVG in Figma.

Prompt Selected

From the 6 pack categories, we're using:

• Category 1: Marketing Campaigns (multi-panel coherent, brand-consistent — gpt-image-2's flagship strength)
• Category 3: Text-Heavy Designs (legible brand name + tagline rendering)

Specifically, prompt 1.1 (Multi-Panel Social Campaign) adapted for your wellness brand.

The Prompt (exactly what to paste into ChatGPT Plus)

Create a 4-panel Instagram carousel for a wellness brand called 'Morni' (adaptogen supplement for focus). Each panel 1080x1080 square.

Panel 1 (brand establishment): Sunrise warm light streaming into a calm bedroom. A small glass bottle sits on a wooden nightstand with a ceramic mug beside it. Brand name 'Morni' visible in small clean serif typography in the bottom-left corner. Dreamy, quiet, aspirational.

Panel 2 (product in routine): Morning kitchen scene — hands pouring water into a cup, the Morni bottle visible on the counter in soft focus. Amber morning light. Minimalist clean aesthetic. Small 'Morni' text in same corner position.

Panel 3 (benefit visualization): A person calmly working at a wooden desk, laptop open, warm amber light, forest green plant visible in background. No frenzy, no stress signifiers. Focus and presence. Small 'Morni' branding bottom-left.

Panel 4 (tagline + close): Clean cream/off-white background. Centered serif text reading 'Morni' large, with 'Focus that lasts' in smaller italic below. Small sprig of green herb at bottom. Minimalist.

Maintain across all 4 panels: warm amber + forest green color palette, clean minimalist aesthetic, consistent serif brand typography, same photographic style (golden-hour natural light, shallow depth of field, real-world settings not illustrations). Brand name 'Morni' appears in exactly the same font across all panels. No tagline on panels 1-3 — tagline only appears on Panel 4.

Style: Founder-led wellness brand, feels like Glossier meets Hims. Not corporate, not generic stock photo. Warm, human, quiet.

Thinking Mode enabled. Generate as 4 images in sequence with character/object consistency.

Expected Output

gpt-image-2 will likely produce:

• 4 panels with strong brand-aesthetic consistency
• Amber + forest green palette maintained
• 'Morni' text rendering legible in all 4 panels (but kerning may vary slightly — verify)
• 'Focus that lasts' tagline in Panel 4 should render correctly
• Lifestyle scenes will look professional and brand-appropriate

What to verify on first generation:

• Panel 4 tagline spelling exactly 'Focus that lasts' (not 'Focuses' or 'Focused')
• 'Morni' typography consistent across all 4 panels (check kerning of 'r' specifically)
• Color palette actually warm amber + forest green (sometimes AI drifts to adjacent colors)
• No weird fake-bottle hallucinations in Panels 1-2 (the bottle must look like a simple glass container, not your specific product — you'll composite your real product shot)

Known Failure Modes for This Prompt

Will likely work well:

• Multi-panel consistency (gpt-image-2's strength)
• Text rendering of short brand names like 'Morni'
• Color palette adherence when specified

Might need iteration:

• 'Focus that lasts' tagline kerning on Panel 4 (sometimes s-pacing is off)
• Glass bottle rendering (may look generic not premium — acceptable since you'll composite real product)

Will likely fail:

• Accurate reproduction of YOUR specific bottle design (don't try — composite your real product photo)
• Your logo design (don't ask for 'Morni logo' — just ask for typography; composite SVG after)
• Specific botanical accuracy (if the herb sprig matters, verify or source real photo)

Cannot do (save time, don't try):

• Adding specific nutrition facts labels (numerical accuracy fails)
• 'My adaptogen ingredients list' rendering (hallucinated content likely)
• Regulatory required text placement (FDA 'Dietary Supplement' label etc. — do in Figma)

Workarounds If Output Fails

If panels look inconsistent (different aesthetics):

• Re-prompt with MORE brand constraints at the start + repeat them at the end
• 'Cinematic warm amber + forest green palette. Golden-hour natural light. Shallow depth of field. Consistent serif typography across all panels. Minimalist clean aesthetic.'

If 'Morni' text is misspelled or poorly rendered:

• Make it more explicit: 'The brand name 'Morni' spelled M-O-R-N-I (5 letters) in clean serif typography'
• Still fails? Generate without text, add 'Morni' wordmark in Figma using your actual brand font

If colors drift (too orange, too dark green):

• Add hex codes: 'Warm amber #D4932F and forest green #2D5A3D'
• More explicit: 'Not sunset orange — soft amber like whiskey in sunlight. Not emerald — forest green like pine needles.'

If you need MORE variations for A/B testing:

• Don't iterate on same image (noise bug). Start fresh session, re-paste prompt, generate new batch.
• Every 3-4 generations, reload the tab entirely.

Post-Generation Workflow (Figma/Photoshop)

1. Save 3-5 variants from multiple generations. Pick best panels (may not all come from one generation).

2. Composite your real bottle product shot into Panels 1 & 2 — replace the generic glass bottle with your actual product photography.

3. Add real 'Morni' SVG logo in exact brand typography (gpt-image-2 approximates but doesn't match your exact kerning/weight).

4. Verify typography rendering — if 'Focus that lasts' on Panel 4 kerns weirdly, re-type in your brand font in Figma.

5. Add any regulatory/FDA required text separately in Figma (not in the AI generation).

6. Export at exactly 1080x1080 for Instagram, test on mobile preview.

Safety Check

✅ This output is appropriate for public marketing use:

• Clearly promotional marketing content (not deceptive)
• AI assists in visual design, real product photography + real logo drive authenticity
• No impersonation, no fake documentation, no counterfeit content
• Standard FTC disclosure practices apply (if using AI-generated visuals in paid ads, some jurisdictions require disclosure)

⚠️ What you should NOT do with gpt-image-2:

• Generate fake customer testimonial screenshots (deceptive, potential FTC violation)
• Generate 'before/after' transformation photos you haven't actually photographed
• Generate fake magazine covers or press endorsements you haven't earned

Key Takeaways

• Use gpt-image-2 for the LAYOUT + aesthetic consistency, not for the product or logo. Composite actual product photography + SVG logo post-generation.
• Multi-panel coherence is gpt-image-2's flagship strength — exactly the right tool for a 4-panel carousel.
• Specify text word-for-word — 'Morni' + 'Focus that lasts' exactly as they should render.
• Never iterate more than 2 revisions on the same image (noise bug). Start fresh sessions.
• Verify on first generation: text spelling, color palette adherence, multi-panel consistency.
• Expected post-production: Figma/Photoshop compositing for real product + real logo + regulatory text.
• Safety: Marketing use ✅. Fake-evidence use ❌ (FTC-risk + deception-potential).
• Alternative tools if this fails: Midjourney for aesthetic-precise brand work, Imagen 4 for text-heavy poster-style, Flux for speed iteration.