{"id":57419,"date":"2026-09-25T09:10:52","date_gmt":"2026-09-25T01:10:52","guid":{"rendered":"https:\/\/www.1ai.net\/?p=57419"},"modified":"2026-09-20T14:43:24","modified_gmt":"2026-09-20T06:43:24","slug":"ai%e6%8f%90%e7%a4%ba%e8%af%8d%e5%88%9b%e4%bd%9c%e7%ac%ac%e5%8d%81%e4%b8%83%e8%8a%82%ef%bc%9a%e9%a3%8e%e6%a0%bc%e5%8d%b3%e9%80%89%e6%8b%a9%ef%bc%8cai%e7%94%bb%e9%9d%a2%e9%a3%8e","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/57419.html","title":{"rendered":"SECTION 17 OF THE AI TIP: STYLE IS CHOICE, AI STYLE EXTRACTS THREE STEPS"},"content":{"rendered":"

existAI Painting<\/a>In the circle, I found a very common but hidden phenomenon: Many people have seen an amazing picture, with the first reaction being \u201ckeywords\u201d, or simply throwing it to Midjourney's\/describe function, or even ChatGPT, soybean bag, to make it a \u201cbackword\u201d\u3002<\/p>\n

And when you get a bunch of gorgeous words, you rush to create them, and you find -- the elements of the picture seem right, but the smell is gone\u3002<\/p>\n

Why?<\/p>\n

Because you're in the wrong place: you think style is \"the stack of elements,\" but style is \"the logic of choice.\"\u3002<\/p>\n

WHEN YOU THROW A MAP BACK TO AI, IT'S CALLED SEMANTICS. IT'S TRYING TO DESCRIBE WHAT'S IN IT (A CAT, NEON LIGHT, RAIN DAY), BUT IT CAN'T TELL YOU WHAT'S IN IT. IT'S OFTEN THOSE \u201cNOTHING\u201d (DISCARDED OPTIONS) THAT DEFINE THE SENSE OF STYLE\u3002<\/p>\n

If you're just staring at the scene, you'll always have to be a \u201cresults porter\u201d, that's, because of randomity\u3002<\/p>\n

Today, through three counter-intuitive steps, you are taught to adopt a \u201cpractition point\u201d method, which truly strips out a top-style logic that is reusable and transferable\u3002<\/p>\n

Phase 1: Cognitive re-engineering - from \"what to what\" to \"what to nothing\"<\/strong><\/p>\n

1.1 A LETHAL TRAP FOR AI INVERSE: SEMANTIC COMBINATION<\/strong><\/p>\n

The first question we have to address is why the traditional \u201cTurnish\u201d cannot get style\u3002<\/p>\n

\"15e25c02j00tlic9b00ohd000v90irp\"<\/p>\n

Please keep an eye on the classic screenshot of Wang Jia Wai's film above. If you throw it to Midjourney's \/describe function or GPT, what kind of feedback does AI's visual model usually give you<\/p>\n

It probably tries to identify the \u201cobject\u201d and \u201cbehaviour\u201d in the image, summing up in the most safe and common terms:<\/p>\n

\"615f344dj00tlic9p00ajd000v90lp\"<\/p>\n

It would say, \u201cA vague picture\u201d, \u201cA woman in a gold coat running\u201d, \u201cDark Tunnel\u201d, \u201cfluorescent light on his head\u201d, \u201cparticle sense\u201d\u3002<\/p>\n

If you take these words and produce them, you get 10,000 pictures of women running in tunnels, but there's not one that recreates the eccentric, urgent and fantastic atmosphere\u3002<\/p>\n

Why? Because what AI is doing is semantic. It sees the \u201ccontent\u201d (women, tunnels) but ignores the style of defining this image's soul (Style). These generic characterizations are hardly binding on the generation of new images\u3002<\/p>\n

1.2 Seeking \u201cnon-change conditions\u201d: for example, in Wang Jia Wai style<\/strong><\/p>\n

The core approach of the first step is not to see what the picture is, but what it rejects\u3002<\/p>\n

The nature of style is an absolute constraint of an exclusive nature. What we need to do is to find out what conditions are \u201cunshockable\u201d in the production of this map. If those conditions were removed, the picture would no longer be \"King's style\"\u3002<\/p>\n

We use this as a case study to demonstrate the right course of action:<\/p>\n

DON'T ASK AI \u201cDESCRIPTION OF THIS MAP\u201d, WE USE STRUCTURED QUESTION LOGIC TO FORCE AI TO IGNORE CONTENT AND FOCUS ON FORM\u3002<\/p>\n

Analysis of command templates (specific to reference diagrams)<\/p>\n

\u201cAS A SENIOR FILM GUIDE (DOP), PLEASE ANALYZE THIS FILM THAT I UPLOADED. PLEASE COMPLETELY IGNORE THE CHARACTERS, COSTUMES AND CIRCUMSTANCES IN THE PICTURE. I NEED YOU TO FIND A BOTTOM-UP TECHNICAL CONSTRAINT TO DEFINE THIS PARTICULAR VISUAL STYLE. FOCUS:<\/p>\n

In order to achieve this extreme dynamic fuzzy effect, what uncompromising choices have the cameras made on fast door speed or later processing (e.g. frame\/stepprint)<\/p>\n

What are the strict limits for the colored image? (e.g., what color did it reject<\/p>\n

What is the relationship between space and light?\"<\/p>\n

\"8156ec50j00tleca90btd000v90rep\"<\/p>\n

In this way, you'll get answers to completely different dimensions, and these are the \"style skeletons\" of this picture:<\/p>\n

Constraint I (on fuzzy): This is not a simple \u201cmixed\u201d, but rather a unique drag created by the very low speed of fast-speed step-printing. It compels the image to move away from a clear focus in exchange for a sense of time. It's a prerequisite for style to exist<\/p>\n

Constraint II (on colour): The image is forced into a high-density green tune (Heavy Cyan\/Green Cast), which rejects warm and pure white light. The dark is severely compressed and has a thick film particle. \u266a It's the iron of colour, it's unchanging \u266a<\/p>\n

Constraint III (on space): Extremely repressed tunnel visions, using actual light sources on top of the head to form a strong lead line that creates a conflict of claustrophobic fear and direction. \"This is the base of the image. It's unchanging.\"<\/p>\n

See? Only when you find these \"unchangeable conditions\" will you reach the threshold of style\u3002<\/p>\n

If you're just staring at women running, you're always just copying a random result; when you see a \"low-fast door frame + green-film color + claustroscope guidance,\" you have the key to replicating that style\u3002<\/p>\n

PHASE 2: SAMPLE PURITY - LET AI LOOK AT \u201cCOMMONNESS\u201d RATHER THAN \u201cINDEPENDENCE\u201d<\/p>\n

2.1 Deceptiveness of single-point data: Why is a picture not enough<\/strong><\/p>\n

\"1e059775jtlecar00bpd000v9000d1p\"<\/p>\n

IN THE FIRST PHASE, WE HAVE REACHED \u201cCONDITIONS OF RESTRAINT\u201d. BUT IF YOU ONLY SHOW AI A PICTURE, LIKE THE PICTURE OF THE DUEL, IT'S EASY FOR AI TO MISJUDGE\u3002<\/p>\n

Miscalculation one: it might think \"with a knife\" was part of the style\u3002<\/p>\n

Miscalculation II: It may think that \"geometric door frames\" are elements that must exist\u3002<\/p>\n

This is Overfitting. AI took the element of chance as a necessary style. In order to eliminate this noise, we need to introduce \u201ccontrol groups\u201d\u3002<\/p>\n

2.2 Build style control groups: using the aesthetics of dunes as an example<\/strong><\/p>\n

Look at these three reference maps from the dunes, which are the best sample of our pure style:<\/p>\n

\"68fb5f34j00tlecbh00djd000v9000d1p\"<\/p>\n

SAMPLE A: RELIGIOUS WALK, MEDIUM VIEW, BACKGROUND TO THE GROUP OF PILGRIMS\u3002<\/p>\n

\"1e059775jlecbo00bpd000v9000d1p\"<\/p>\n

SAMPLE B: TENSIOND DUEL, MEDIUM VIEW, EMPHASIS ON PHYSICAL CONFLICT\u3002<\/p>\n

\"d10a8c5fj00tlexbx00c2d000v9000d1p\"<\/p>\n

SAMPLE C: INTIMATE ATTACHMENT, LONG-FOCUSED VISION, EMPHASIS ON PERSONAL RELATIONSHIPS\u3002<\/p>\n

The point is: these three pictures are completely different in content (religious, war, love), but they're visualized in the same model\u3002<\/p>\n

WE NEED TO USE THIS \u201cCONTENT CONTRAST\u201d TO FORCE AI TO EXCITE \u201cVISIONAL COMMONALITY\u201d\u3002<\/p>\n

2.3 Extribution of common physical instructions<\/strong><\/p>\n

INSTEAD OF A QUESTION-AND-ANSWER, THE THREE MAPS ARE FED TO GPT OR BEAN BAGS AT THE SAME TIME, AND THE FOLLOWING SPECIALLY DESIGNED \"NOISE INSTRUCTIONS\" ARE ENTERED:<\/p>\n

Common extract command template:<\/p>\n

\"I uploaded three pictures, which are completely different -- people walking, people fighting, people hugging -- but they all belong to the same extreme visual style. Please ignore what specific \"persons\" are doing in the picture, and I need you to find out the largest number of conventions in visual expression. Please tell me: Which visual elements will never be absent, regardless of how the scene is switched? Please summarize the three dimensions of colour orientation, light logic and atmosphere.\u201d
\n
\n2.4 \"STYRE DNA\" FROM AI<\/strong><\/p>\n

In this way of finding the same item, what you get is no longer a description, but the bottom code of this aesthetic:<\/p>\n

\"872c345dj00tleccd0095d000v90irp\"<\/p>\n

The Monochrommatic Palette:<\/p>\n

AI WILL FIND THAT THERE IS NO BLUE, GREEN OR BRIGHT RED IN THE THREE PICTURES\u3002<\/p>\n

DNA: Global Monochromic Amber\/Orange. This is the specific chromatography of analogues of \u201cfranchise\u201d and desert hot suns, and the colours are confined between amber colours, quartz and dark black\u3002<\/p>\n

Extreme Backlighting:<\/p>\n

Whether it's a duel or a hug, the character has no facial details\u3002<\/p>\n

Stylish DNA: absolute reverse light and membrane (Silhouettes & Contre-jour). The light is always right behind the person, who is turned into a black clipping, with no emphasis on the five of the individual, but on the contours and geometry of the body\u3002<\/p>\n

Volumetric Atmosphere:<\/p>\n

The background was never clear, always grey\u3002<\/p>\n

DNA: High-density Atmospheric Insight (Heavy Haze\/Dust). The atmosphere is filled with mediums (sand), resulting in a rapid deflation of objects from a distance (e.g., the population in the context of the duel, the mountains in the context of the walk) and a sense of dizziness in the light\u3002<\/p>\n

Phase III: System-building \u2014 \u201cFour-D model\u201d for re-plicating image structure<\/p>\n

3.1 Why is there a long-term value<\/strong><\/p>\n

If you only took the word \"maize land\" or \"aerospace suit\" you didn't learn the style of Interstellar Passage. Tomorrow, the A side will let you draw a \"modern office\" or \"submarine expedition\" in this style, and you're stuck\u3002<\/p>\n

The true master will translate the analysis obtained in the first two steps into a set of deep structural codes that AI can implement over time. We're going to break down Nolan's visual language into four generic plates and build your Style Guide\u3002<\/p>\n

3.2 Standardized four plates: for example, Star Crossing<\/strong><\/p>\n

\"deea6cf8j00tlecd101a4d000v90ihp\"<\/p>\n

Board I: Space & Construction - \"IMAX Class Smallness\"<\/p>\n

Look at the astronauts on this ice planet and the subpoiling of that cornfield. Norland's design logic, whether in space or on a farm, is uniform: extreme broad bands and small individuals\u3002<\/p>\n

\"9c12943ej00tlicd7010pd000v90hkp\"<\/p>\n

AI IMPLEMENTATION LOGIC:<\/p>\n

It has to be wide-angled, even panorama\u3002<\/p>\n

The figure is very small in the picture (Tiny figure), emphasizing the sense of oppression and ambition of the environment\u3002<\/p>\n

The vision needs to be smooth, using a horizontal line (Horizon line) to simulate a broad-banded view of 70 mm film\u3002<\/p>\n

IMAX field, 70mm shot, except for side angle, mass scale, human strength in last landscape.<\/p>\n

Panel II: Light & Atmosphere - \"Touchable Physical Sensibility\"<\/p>\n

\"1af18d02j00tlecdr00jtd000v9000hkp\"<\/p>\n

Look at the street full of sand and the rear vision mirror in the car. It's a sci-fi film, but the light never shows the kind of \"fake-baked\" electronic blue light\u3002<\/p>\n

AI IMPLEMENTATION LOGIC:<\/p>\n

Rejection of artificial light: The light must be \"naturally driven\". It's either an eyebrow or a dark light bulb\u3002<\/p>\n

Media fill: Air is never transparent. There's dust, fog or frost. This adds to the physical reality of the image\u3002<\/p>\n

Hard natural light: even in a person's view, it's a side of natural light that keeps the skin's true sense of quality, not the light of a cinema class\u3002<\/p>\n

Natural lighting, vital atmosphere, atmosheric haze, arborne parties, harsh sunlight, no analytical fill light.<\/p>\n

Board III: Color & Texture - \"Simulation film restraint\"<\/p>\n

\"0666cf2bj00tlicdz00dsd000qo00b6p\"<\/p>\n

\"41b7419ej00tlece500v5d000v90hkp\"<\/p>\n

Compare the close-up in front of the shelf with the wasteland of the outer planet. You'll find the color is limited to two extremes:<\/p>\n

Earthside: Yellow, quartz, the same warmness as old photographs\u3002<\/p>\n

Space End: Extreme grey, dark, cold stainless steel (Sterile Grey)\u3002<\/p>\n

But they have a commonality: low saturation and film particles\u3002<\/p>\n

AI IMPLEMENTATION LOGIC:<\/p>\n

Whatever it is, a Kodak film sense has to be folded\u3002<\/p>\n

Colors must not be colourful, but an old sense of \u201ctemporal\u201d\u3002<\/p>\n

Keyword implanted:.<\/p>\n

Block IV: Limits and Rules (Constraints & Rules) - \"No Digital Tastes\"<\/p>\n

THIS IS THE MOST IMPORTANT \u201cNEGATIVE CONSTRAINT\u201d. IN ORDER TO MAINTAIN THE SENSE OF \"HARD SCIENCE FICTION\" IN INTERSTELLAR TRAVEL, YOU HAVE TO TELL AI ABSOLUTELY NOTHING TO DO\u3002<\/p>\n

AI IMPLEMENTATION LOGIC:<\/p>\n

It is absolutely impossible: neon lights, Cyberpunk, holograms, smooth plastic senses, high saturation colours\u3002<\/p>\n

We want NASA-punk, not Silver Wing Killer\u3002<\/p>\n

Negative Prompt<\/a>-no no, cyberpunk, glossy plastic, 3d greener style, vibrant colors, clean digital art, hologums<\/p>\n

Conclusion: Style is choice, not random<\/strong><\/p>\n

IN CONCLUSION, WHY DO THESE THREE STEPS ALLOW YOU TO GO BEYOND 90%'S ALCHEMIST<\/p>\n

BECAUSE MOST PEOPLE ARE GAMBLING. THEY THREW IT TO AI, AND THEY EXPECTED IT TO \"GUESS\" AGAINST THE HINT. AND YOU KNOW THE ALGORITHM BEHIND THE STYLE BY LOOKING FOR CONSTRAINTS -- COMMONALITY\u3002<\/p>\n

The style was never a specific hint, but a set of chosen logic that was repeatedly implemented\u3002<\/p>\n

It's only when you can regenerate this logic to create everything out of concrete images that you really have. That's the high-level mind method of the word\u3002<\/p>","protected":false},"excerpt":{"rendered":"

I found a very common but hidden phenomenon in the AI painting ring: Many people have seen an amazing picture, with the first reaction being \u201ckeywords\u201d, or simply throwing it to Midjourney's\/describe function, or even ChatGPT, soybean bag, to make it a \u201cbackword\u201d. And when you get a bunch of gorgeous words, you rush to create, and you find -- the elements of the picture seem to be right, but the smell is gone. Why? Because you're in the wrong place: you think style is \"the stack of elements,\" but style is \"the logic of choice.\" When you throw a map back to AI, it's called semantics. It's trying to describe what's in the picture<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[149,144],"tags":[802,3149,491,192,6481],"collection":[],"class_list":{"0":"post-57419","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-jiaocheng","7":"category-baike","8":"tag-ai","11":"tag-prompt","12":"tag-6481"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/57419","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=57419"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/57419\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=57419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=57419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=57419"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=57419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}