4 Fresh AI Image Prompts You Should Try This Week (May 2025)
May 11, 2025
Every week we hunt for the most interesting AI image prompts floating around the internet — GitHub repos, Twitter threads, Reddit posts, Chinese creator communities. This week’s batch is one of our favorites: four prompts that each push GPT Image 2 in a completely different direction, from crude emotional art to pixel-perfect technical illustration.
1. Pathetic Art — The Anti-Aesthetic
Deliberately crude emotional creature in pathetic art style
When ugly is the whole point.
If you’ve been on Twitter or Tumblr lately, you’ve seen ‘pathetic art’ — those deliberately crude, emotionally devastating little drawings that look like someone poured their feelings onto paper at 3am. This prompt is fascinating because it asks the AI to do the opposite of what it’s trained to do: be bad on purpose. Wobbly lines, mismatched proportions, raw emotional energy. The result is surprisingly effective. AI usually fights you on imperfection, but when you frame it as a specific style with clear intent, it gets it right.
“Redraw the attached image in the most clumsy, scribbly, and utterly pathetic way possible. Use a white background, and make it look like it was drawn in MS Paint with a mouse. It should be vaguely similar but also not really, kind of matching but also off in a confusing, awkward way, with that low-quality pixel-by-pixel feel that really emphasizes how ridiculously bad it is. Actually, you know what, whatever, just draw it however you want.”
Original prompt from neuronad.com — attach any image and let GPT redraw it badly.
See the full prompt with all variations.
View prompt →2. VR Headset Exploded View
Technical exploded-view illustration of VR headset components
Product photography meets engineering diagram.
This is one of those prompts that makes you realize AI image generation isn’t just for art — it’s a legitimate tool for product design and tech content. What’s truly wild about this prompt is that it’s written entirely as a structured JSON object in Chinese. The creator describes the product (Meta Quest 3 VR headset), the visual style (clean 3D render with studio lighting), the layout (vertical stacked exploded view with 9 component layers), and even specifies 8 individual callout labels with detailed descriptions — all in JSON format. GPT Image 2 interprets the structure and renders a beautiful product poster. If you run a tech blog, make YouTube thumbnails, or need product visuals for a pitch deck, this JSON-prompt pattern is gold.
“{ "type": "Product Exploded View Poster", "subject": "VR Headset", "style": "Clean high-tech 3D render, studio lighting, glowing accents", "background": "Soft purple-blue gradient", "header": { "logo": "∞ Meta Quest 3", "subtitle": "Reimagine reality with an entirely new structure." }, "layout": { "centerpiece": "Vertical stacked exploded view of a VR headset showing 9 different internal component layers" } }”
This is a structured JSON prompt by @WORY via appark.ai (translated from Chinese) — see the full version with all 8 callout labels on the prompt detail page.
Full breakdown with product photography tips.
View prompt →3. Learn English — Photo Vocabulary Annotation
Cheerful educational infographic illustration for language learning
One prompt, one course thumbnail.
Not every prompt needs to be artistic. This one is purely practical: upload any everyday photo and the AI annotates it with English vocabulary. The original prompt (written in Chinese) instructs GPT Image 2 to identify 5 objects, draw white hand-drawn-style outlines around them, and label each with an English word, simple definition, and example sentence. The result looks like someone sketched learning notes directly onto the photo — clean, natural, with breathing room. If you’re a teacher, course creator, or edu-content maker, this saves you hours compared to Canva or stock photos.
“[Task Goal] Identify 5 objects in the photo and add for each: 1. English word 2. Simple English definition 3. Optional short example sentence [Annotation Count] Only label 5 objects, no more than 5. Prioritize common, easy-to-learn everyday items. [Drawing Style] Use white thin-line hand-drawn style annotations. Lines should look casually sketched, with a one-stroke feel. Lightly trace around the object edges. [Text Style] Primarily in English. Keep explanations simple, suitable for beginners. Don't write like a dictionary — more like visual vocabulary learning notes. [Overall Feel] Like hand-written English learning annotations on an everyday photo. Clean, natural, with breathing room. Make the aspect ratio 9:16”
Translated from Chinese. Original prompt by @林悦己Cheer via appark.ai — upload any photo and it becomes a vocabulary card.
See how to adapt this for any subject.
View prompt →4. 2008 Family Photo — Controlled Imperfection
Nostalgic 2008-style family photo with early digital camera aesthetic
Every flaw is intentional. That’s what makes it genius.
This might be the most impressive prompt in the batch — not because of what it creates, but because of what it asks the AI to get wrong. Slightly flat contrast. Mild blur. Natural sensor noise. A yellow digital timestamp reading 2008/04/26 10:25. The prompt describes a Chinese family of three in a park with extraordinary detail: the mother’s purple cardigan, the child’s navy jacket with an ‘86’ print, the father’s gray backpack, ornamental rocks by a pond, a traditional pavilion in the background. Every ‘flaw’ is a deliberate choice that anchors the image to a very specific moment in time. The AI handles this beautifully because the prompt is so specific. It’s a masterclass in ‘controlled imperfection’ — and it’s endlessly adaptable to other decades and cultures.
“A candid family snapshot styled like a consumer digital camera photo from around 2008, showing a Chinese family of three posing closely together in a public park in springtime. The mother is on the left, crouching and leaning in, wearing a purple cardigan over a dark patterned top, blue jeans, and carrying a black shoulder bag. The child is in the center, standing or half-squatting between the parents, wearing a navy zip-up jacket with white and red striped sleeves and a large "86" print on the chest... Add a yellow digital camera timestamp in the bottom right corner reading 2008/04/26 10:25. Composition should feel like a real family travel photo taken informally in China in the late 2000s.”
Truncated — see the full prompt on the detail page. Original by @投机实验室 via appark.ai. The Chinese version is even more detailed.
Full prompt with decade-swapping tips.
View prompt →What Makes These Prompts Work
Looking at all four together, there’s a pattern: the best prompts are specific about intent, not just content. ‘Pathetic art’ works because it names the style explicitly. The 2008 photo works because it lists exact clothing and environmental details. The VR headset works because the JSON structure gives the AI a precise visual blueprint. And the Chinese-language prompts (VR, Learn English) prove that GPT Image 2 handles non-English instructions beautifully. Vague prompts get vague results. The more precisely you describe the feeling, era, or visual language you want, the better the AI delivers.
Explore 180+ free AI image prompts — all copy-paste ready with example images.
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