Do these 3 things before closing this tab:
What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errors
ThatPainter is reader-supported. When you buy through links on our site, we may earn an affiliate commission. Learn More
Start with an ordinary image of ramen, coffee, or a cheeseburger. Then ask ChatGPT to make one quality—spiciness, heat, luxury, or drama—even stronger. Repeat the request and the realistic image can escalate into something extravagant, surreal, and funny.
That was the idea behind the “Make It More” image trend, which spread online in late November 2023. The original coverage, published by BGR on November 29, 2023, described the trend as a DALL·E 3 phenomenon. The idea remains useful today, but ChatGPT’s image-generation tools and model names have changed since then. BGR’s original report is best understood as historical coverage, not evidence that the trend is newly viral in 2026.
What was the “Make It More” trend?
“Make It More” was not a hidden feature, special command, or official OpenAI mode. It was a conversational prompting technique:
The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →- Generate a normal image.
- Choose one visual quality, such as “spicy,” “hot,” “luxurious,” or “cozy.”
- Ask for that quality to become stronger.
- Repeat the request and save each result as a progression.
Popular examples included ramen becoming progressively spicier, coffee becoming increasingly hot-looking, and cheeseburgers becoming more extravagant. As the prompts continued, ordinary subjects could acquire more ingredients, larger portions, flames, machinery, glowing surfaces, dramatic lighting, or theatrical surroundings.
The joke was that “more” has no precise visual scale. The model had to decide what “more delicious” or “hotter” should look like, often choosing the most obvious visual shorthand and pushing it further with every variation.
Why did the images become absurd?
The escalation came from several effects working together.
“More” is ambiguous
“Make it more delicious” might mean better ingredients, more garnish, a larger portion, a luxury presentation, stronger colors, or a more appetizing setting. Unless you specify the intended change, the model chooses an interpretation for you.
Visual metaphors get amplified
Image models commonly represent heat with steam, flames, red-orange light, glowing surfaces, or explosive action. They may represent luxury with gold, excessive decoration, expensive ingredients, or grand surroundings. Repeating the adjective encourages those cues to become increasingly obvious.
Each step is an interpretation, not a fixed intensity setting
The model is not moving an image along a perfectly measured “spiciness” or “drama” slider. Each follow-up can produce another interpretation of the instruction. That is why the subject, proportions, object count, camera angle, background, and style may drift from one generation to the next.
The progression can therefore be both the appeal and the weakness of the technique: less control produces more surprise, while clearer constraints produce a more coherent sequence.
How to try “Make It More” in ChatGPT today
Open ChatGPT and ask it to create an image with a clear subject and one dominant quality. When the image is ready, continue in the same conversation with increasingly specific follow-ups.
The Tool Desk
Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →1. Create the starting image
Create a realistic editorial photograph of a bowl of ramen on a restaurant table. Make it visibly spicy, but still believable. Use natural lighting and a close-up composition.2. Intensify one quality
Keep the ramen, bowl, camera angle, and restaurant setting. Make it even spicier using more chili oil, peppers, steam, and visible heat.3. Push the idea further
Push the spiciness much further while keeping the bowl recognizable. Make the result exaggerated and visually funny, but avoid changing the subject.4. Try an absurd final version
Make it absurdly spicy. Preserve the bowl and overall composition, but use dramatic flames, glowing chili oil, intense steam, and an over-the-top visual scale.Save each image before requesting the next version. That gives you a genuine progression to compare rather than relying on the conversation alone.
A useful prompt template
Keep [subject], [composition], and [style]. Increase only [specific quality]. Make the change visually obvious but preserve the subject’s identity.For the most predictable results, control one variable at a time:
- Subject: “Keep the same bowl of ramen.”
- Composition: “Keep the camera angle and framing.”
- Style: “Keep it as a realistic food photograph.”
- Intensity: “Increase only the visible heat.”
- Tone: “Make it funny rather than frightening.”
- Continuity: “Preserve the main subject and setting.”
Prompt ideas beyond spicy food
More indulgent
Keep the same cheesecake and restaurant setting. Make it more indulgent by adding richer ingredients and a more extravagant presentation, but keep it edible.More visually hot
Keep the same coffee cup and tabletop. Make the coffee look hotter using steam, surface movement, and lighting—not explosions or flames.More cozy
Keep the same living room. Make it cozier through warmer lighting, softer fabrics, more blankets, and a calmer atmosphere. Do not add more furniture.More futuristic
Keep the same electric bicycle and street composition. Make it more futuristic through materials, lighting, and subtle interface details while preserving its recognizable shape.More chaotic
Keep the same kitchen and main subject. Make the scene more chaotic through motion, clutter, and exaggerated activity, but keep the central object easy to identify.For comedy, start with a short “Make it more” request and allow the model to improvise. For a clean visual comparison, specify what must remain unchanged at every step.
What happens when “more” stops working?
Eventually, the model may refuse to intensify the property, say that the concept has reached a limit, produce a generic variation, or repeat similar imagery. It may also change the subject instead of strengthening the requested quality.
Quick wins for a faster PC:
Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →The original 2023 coverage described a case in which the system indicated that representing still-image heat beyond a certain point was difficult, then offered another variation using stronger visual cues. That limitation is understandable: a still image cannot literally keep increasing the physical temperature of an object. The model must substitute visual metaphors.
Use a different visual metaphor
Do not change the subject. Try a different visual metaphor for heat.Keep the result realistic
Keep the image realistic and intensify the heat through lighting, texture, color, and environmental details only.Step back and continue carefully
The previous version went too far. Return to the same composition and make the effect one step stronger than the original.If the conversation becomes confused, start a new chat with the last successful image and restate the subject, composition, style, and one quality you want to increase.
Why continuity is difficult
Successive outputs may preserve the broad idea without preserving every visual detail. A coffee cup can become a different cup, a bowl can change shape, and a restaurant can turn into a laboratory or fantasy setting. “Make it more” is therefore better described as a sequence of successive variations than as a guaranteed pixel-perfect edit of one image.
Text, logos, packaging, menus, and signs can also become misspelled or unreadable as the images escalate. Do not treat generated lettering as accurate without checking it separately.
If the image involves a real person or public figure, keep the experiment clearly fictional and non-deceptive. The technique is safest with invented subjects, objects, food, environments, and characters.
Do you need ChatGPT Plus?
Not necessarily. OpenAI’s current pricing page lists limited image-generation access on the Free plan, while Plus provides expanded access. OpenAI lists ChatGPT Plus at $20 per month, although limits, availability, and model access can change with demand, geography, account type, and product rollout.
Plus is therefore not required simply to try the technique. It may be useful if you want to generate many variations, but check the current plan details before subscribing. ChatGPT subscriptions and API image generation are separate: API usage is billed independently.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.DALL·E versus current ChatGPT image generation
The 2023 trend was commonly associated with DALL·E 3 inside ChatGPT. OpenAI later made GPT-4o image generation the default ChatGPT image generator and said that DALL·E would remain available through a dedicated DALL·E GPT. OpenAI’s later release notes refer to ChatGPT Images 2.0 as a current image-generation system available across ChatGPT plans.
Free tools Windows power users keep installed
One-click scans. No signup required.
That means the historically accurate explanation is:
Best Value
The “Make It More” trend took off with DALL·E 3 in ChatGPT. The same iterative prompting idea can be tried with ChatGPT’s current image-generation tools, but the exact model and interface may differ from the 2023 version.
Do not assume that every image generated in current ChatGPT is made by DALL·E. Product labels and interfaces can change, so use whatever image-generation option your account currently provides.
The practical trade-off: surprise or control?
| Approach | Benefit | Drawback |
|---|---|---|
| Repeat only “Make it more” | Fast, surprising, and often funny | The model may intensify the wrong quality |
| Specify the adjective and visual cues | More controllable escalation | Less unpredictable |
| Preserve composition explicitly | Better continuity | May limit the transformation |
| Ask for realism | Creates a usable progression | Escalation may be subtle |
| Ask for absurdity | Produces stronger spectacle | More clutter and subject drift |
| Change one variable at a time | Makes comparisons clearer | Requires more prompts |
What the trend actually demonstrates
“Make It More” is best understood as a playful experiment in ambiguous prompting, not a secret hack or guaranteed editing function. Its results reveal how an image model translates an underspecified adjective into visual conventions, then amplifies the most prominent cues through repeated follow-ups.
Recommended Free Tools
The trend was a product of its November 2023 moment, but the underlying method remains useful for exploring visual ideas. Start with a recognizable subject, intensify one quality, preserve the elements that matter, and expect the model to become less literal—and often more entertaining—the further you push it.
Repeated generations also consume computing resources, so the experiment is worth treating as creative play rather than an unlimited loop. There is no need to continue once the image has reached the joke you wanted.
Quick Recap
