Cue word tutorial

FOREWORD: AI'S "VISUAL LOOPHOLE" DOESN'T KNOW ANYTHING ABOUT 3D SPACE OR GEOMETRY. IT'S JUST IMITATING THE PATTERN OF PIXELS IN BIG PICTURES. THIS IS OUR CHANCE. NOW THAT IT'S IMITATING, WE CAN USE THE LANGUAGE LOGIC TO DEFRAUD IT. AS LONG AS WE ENTER A SPECIFIC `FALSE VISION', WE CAN INDUCE THE AI ALGORITHM TO MISCALCULATE, SO THAT IT THINKS IT IS NECESSARY TO PULL THE IMAGE VERY DEEP, VERY WIDE, SO AS TO BREAK THE DEFAULT “SQUARE”. THIS CURRICULUM WILL REVEAL THREE CORE TECHNIQUES OF DECEPTION AND THREE SETS OF OPERATIONAL FORMULAS THAT TEACH YOU TO USE LANGUAGE TO DO "SPACE MAGIC" AND TO PULL IMAGES IN A MOMENT..

In AI image generation, there is a key but often overlooked mechanism: "Lucy." It allows the model to automatically modify your hint to the result of "most stable, typical, safe." It sounds like a good thing, but it's this kind of "overstabilization" that makes many people's images more, more, more, more, more, more, more, more, more. In order to make more relaxed, artier, more robust works, you have to learn to make AI slightly unstable within control. It's called Robustness Breaking -- it's not just a mess, but..

AI'S CREATION OF "FALSE" "CHEAP" IS OFTEN NOT THAT YOU'RE WRITING BAD TIPS, BUT YOU'RE NOT CONTROLLING NEGATIVE TIPS. THAT'S ALL YOU WANT TO "CUT OFF THE NOISE." SO THE HEART OF THIS SECTION IS: CUTTING DOWN THE BAD HABITS OF AI WITH THE WORD "NEGATIVE" AND MAKING THE IMAGE VALUABLE, AND WE LEARN IN THREE STEPS: CUTTING OFF THE "DIRTY" SENSE, CUTTING OFF THE "PLASTIC" SENSE, CUTTING OFF THE "FALSE LIGHT" IN EVERY PART OF THE SECTION: THE PRINCIPLE, THE TYPICAL "BAD" EXAMPLE, NEGATIVE..

HAVE YOU EVER EXPERIENCED THIS: EVEN THOUGH THE HINT IS COMPLETE AND THE ELEMENTS ARE NOT MISSING, IT'S STRANGE THAT IT IS PRODUCED -- HARD SKIN, LIGHT-WIELDING, DIRTY BACKGROUND, UNSTABLE SUBJECT. ACTUALLY, THE PROBLEM IS NOT AI'S INCOMPETENCE, BUT YOU'RE IGNORING A BOTTOM RULE: AI GIVES PRIORITY TO DRAWING "THE WORD IT CONSIDERS IMPORTANT." AND THIS LEADS TO THE FACT THAT THE ABSTRACT WORD IS TOO STRONG, THE SUBJECT WORD IS TOO STRONG TO BE USED IN DETAIL, AND THE UNCLEAR WORD IS AUTOMATICALLY FILLED, AND SOME OF THE LIGHT EFFECTS ARE "EXPANDING OVER THE FIRE" AND THE VERB IS THE TOOL USED TO INTERFERE WITH THIS BEHAVIOR. WE'RE GOING TO GO IN AND SAY, "WHAT'S A VERB?"

DID YOU FIND AN A.I. WITH A SPECIAL "OVER"? I CALL IT A MISUNDERSTANDING MECHANISM. IT MEANS YOU SAY ONE WORD AND IT ALWAYS UNDERSTANDS ANOTHER SENTENCE. MOST OF THE TIME, YOU CAN'T GET IT ON, NOT BECAUSE YOU'RE NOT GOOD ENOUGH, BUT BECAUSE AI'S SMART. FOR EXAMPLE, WHEN YOU DON'T WRITE ANYTHING, IT THINKS YOU WANT TO "DEFAULT THE RED FACE OF THE NET," AND YOU WRITE "FANTASY," AND IT STARTS TO SMOKE. TO MAKE IT REAL, WE CAN'T FOLLOW IT. WE HAVE TO GO BACKWARDS. TODAY'S LESSON, I'M TAKING YOU THROUGH THESE THREE MISUNDERSTANDINGS TO MASTER THE "REVERSE CONTROL" PAINTING..

Did you find out that many of the photos produced by AI, although the light was perfect and the skin was delicate, felt something was wrong? Because they're perfect. The person is always looking at the camera, the expression is always a standard smile, and the context is always a perfect fissure — it's like a fine set in a cinema, but not like real life. Now social media (e.g. Little Red Book, Instagram) is no longer a big picture, but a "float." Audiences want to see moments that seem to be inadvertently recorded: hairy walking, looking down at the side of the phone, even images..

You may have written a very strong hint: who is the lead, what is it, what is the environment, what style, what color is it? Because you only tell AI what to draw, but you don't tell it how to shoot how. All these photographic parameters, which affect the space, the vision, the atmosphere and the narrative of the picture, are the lessons that we are most likely to be ignored, but that affect the most direct part of the..

Of all the factors that affect the authenticity of AI images, the light is the most vulnerable to the problem, and the image, the material, the details can be compensated by models, but the light doesn't work, but once the light is not natural, the high-resolution picture will also look "false" -- like stickers, like plane, like P. Because light is the logic of space, and it determines the size, depth, emotion, rhythm of the object

A LOT OF PEOPLE HAVE THE SAME QUESTION WHEN THEY FIRST GENERATE AN AI PICTURE: WHY DOES MY PICTURE LOOK NATURAL? THE SUBJECT IS NOT FOCUSED, THE SPACE IS FLAT AND THE WHOLE BODY LACKS A SENSE OF TRUTH. THAT'S BECAUSE YOU'VE GOT A PROBLEM WITH YOUR DRAWINGS, AND MANY PEOPLE HAVE THE SAME QUESTION WHEN THEY FIRST GENERATE AN AI PICTURE: WHY DOES MY PICTURE LOOK NATURAL? THE SUBJECT IS NOT FOCUSED, THE SPACE IS FLAT AND THE WHOLE BODY LACKS A SENSE OF TRUTH. TOO OFTEN THE PROBLEM IS NOT THAT THE HINTS ARE TOO FEW, NOR ARE THE MODELS TOO STRONG, BUT AT THE MOST BASIC POINT — THE STRUCTURE. THE IMAGE DETERMINES THE VISUAL LOGIC OF THE IMAGE: THE FIRST SIGHT OF THE AUDIENCE, THE WAY THE SIGHT MOVES..

I remember when I first tried to create a landscape in AI, I typed in "beautiful mountain" and got a strange mountain that looked like a pile of blocks.... After learning and experimenting, today I'd like to share with you how to write landscape prompts, which will help you easily create amazing landscape images! The Basic Structure of Landscape Prompt Words For AI to understand the beauty of the landscape you have in mind, you first need to build a complete structure of prompt words. Just like building a house needs a foundation, a good cue word needs to contain the following key elements: 1. Scene Type Specify the type of landscape you want: Mountain Landscape/Beach Sunset/Mori...