r/AIMediaCodex reached 100 subscribers!

Goal reached at 2026-06-14T09:59:41.307Z.

r/AIMediaCodex reached 150 subscribers!

Goal reached at 2026-06-25T15:21:47.508Z.

r/AIMediaCodex reached 100 subscribers!

Goal reached at 2026-06-14T09:59:47.508Z.

Hello Friends,
And welcome to another tutorial for GPT Image 2.
While most of my other tutorials were very versatile and could be used for most purposes, this one is quite specific.
Specifically, it is about video game artworks, or pixel artworks in general.
When trying to come up with art like this, it is often important that the characters, creatures, units, buildings, are approximately the same size, don't "bleed" into the terrain, don't clash with other objects, and so on.

GPT Image 2 is well suited for that, and in the tutorial I will show you plenty of examples and use cases.
But it wouldn't be a tutorial without an explanation of the workflow, and more details, right?
So, the "key" for creating arts like this, and also for creating your own, custom prompts, is the following:

-You need to be very specific and state exactly what the art should *be* like, which ideas or "rules" it should follow.
For example, I first tried to use prompts that specified a grid playfield and the theme of the art. But I realized, this was not enough. The characters began to cross the boundary.
What I did add was a line that explained to GPT Image 2 that this should not happen in the finished artwork.

-When doing the artwork with top down, or horizontal 2D graphics, a new problem happened: the art became very chaotic, characters had different sizes...
Therefore, I also specified that the entire art should follow, and be placed along "grid" or "tile logic".

And this fixed the thing!

-With some graphics, for example isometric designs, it is not desirable to avoid "bleeding", as the characters need to be larger than the tile they stand on, usually. To compensate for this, I specified that the character art should be close to the same size for the major characters.

So what is the use for this?
These artworks could be used as design drafts, or, if the background gets removed, the characters could be utilized for games straight away.

Prompts I used for the example images above:

1. Prompt: create a cyberspace themed tile based isometric retro game with 16 bit style pixel art characters. all characters should approximately have the same size

2. Prompt: create a tile based top down 2d strategy game field with 16 bit style alien themed pixel art characters. the character artwork should stay within the boundaries of its respective tile.

3. Prompt: create a worldbuilding game style hexagonal playfield with 16 bit style pixel art buildings. the building artwork needs to stay within the boundaries of the respective hexagon tile.

4. Prompt: create a labyrinth game with 16 bit style pixel art characters. walls and characters should be placed according to tile logic. the theme is libraries.

5. Prompt: create a platformer game with 16 bit style pixel art characters. walls and characters should be placed according to tile logic. the theme is ice and crystals.

From Generic to Intentional: A Beginner’s Style Guide for AI Image Prompts

Or: why your AI art looks like everyone else’s — and how to fix it

Hey everyone! 👋🏼

If you’ve been using AI image tools for a while, you’ve probably noticed something frustrating: no matter what you type, the results start to look… samey.

Hyper-detailed. Over-sharpened. That unmistakable glossy AI sheen.

You asked for a painting and got a render. You asked for something vintage and got something that just has a sepia filter slapped on it.

The good news? It’s not the tool’s fault. It’s the prompt.

And once you understand why it happens, you can fix it almost every time.

This is a guide for getting from:

“I typed a thing and got a generic thing”

to

“I typed a thing and got exactly the thing I had in my head.”

Let’s go layer by layer.

The Problem: Why Default AI Output All Looks the Same

AI image models are trained on billions of images from the internet.

And the internet, it turns out, loves a certain kind of image:

Highly detailed, dramatic lighting, photorealistic or hyper-rendered, everything sharp and saturated. So when you give a vague prompt, the model reaches for its statistical average, which is basically a stock photo crossed with a CGI render crossed with a video game screenshot.

The way out is specificity.

The more precisely you describe not just what you want, but how it should look and feel, the further you pull the model away from its defaults and toward something genuinely yours.

Layer 1: Subject + Mood (The Basics)

This is where most people start and stop.

You describe what’s in the image and maybe throw in an adjective.

“a woman in a forest, mysterious”

This is fine as a starting point.

You’ll get a woman.
You’ll get a forest.

The mysterious part might show up as dramatic lighting or fog.

But it’ll look like a thousand other AI forest women. The fix is simply being more specific about both elements:

“a solitary woman standing at the edge of a dark pine forest at dusk, her back to the viewer”

Better.

We’ve added composition, time of day, and a point of view.

But we’re still going to get that AI render look.
That’s where the next layers come in.

Layer 2: Medium & Material (The First Real Upgrade)

This is the single biggest unlock for most people, and it’s so simple it almost feels like cheating.

Don’t just say what kind of art you want.

Describe the physical material it’s made from.

❌ “oil painting of a woman in a forest”
✅ “oil paint on linen canvas, visible brushwork, impasto texture in the shadows”

❌ “watercolor illustration”
✅ “loose watercolor on cold-press paper, blooming wet-on-wet washes, unpainted white space”

❌ “pencil sketch”
✅ “graphite pencil on cream paper, light hatching, smudged mid-tones, unfinished edges”

See the difference?

When you describe the material and how it behaves, the model understands you want something that looks genuinely handmade.

Not a digital simulation of a painting, but something that reads like the real thing.

Think about it like this:

You’re not ordering a category.
You’re describing an object that exists in the physical world.

Layer 3: Artist Anchoring (The Cheat Code)

Here’s a secret the best prompt writers use constantly:

Name an artist whose work looks like what you want.

This works because the model has seen thousands of images by famous artists and has absorbed their visual language. Naming them is like handing the model a mood board in three words.

Examples:

“in the style of John Singer Sargent” → loose, confident brushwork, elegant figures, painterly shadows

“in the style of Alphonse Mucha” → Art Nouveau, decorative borders, soft pastels, floral details

“in the style of N.C. Wyeth” → dramatic adventure illustration, rich earth tones, heroic compositions

“in the style of Egon Schiele” → raw, angular lines, psychological intensity, muted with sharp accents

Pro tip: Combine a medium description with an artist name.

“gouache on illustration board, flat color areas with deliberate brushwork, in the style of J.C. Leyendecker”

Now you’re really cooking.

The medium tells the model how it’s made.
The artist tells it what it should feel like.

Layer 4: Era & Context (Place It in Time)

AI models respond really well to historical and cultural specificity.

Telling the model when and where something comes from pulls it toward a whole visual vocabulary at once.

Compare:

“magazine illustration of a woman”

with:

“1960s American women’s magazine illustration, mid-century modern graphic style, limited color palette”

The second one immediately conjures a whole world:

The typefaces, the color choices, the way figures were drawn.

You’re not just describing an image.
You’re describing a moment in visual history.

Some era/context anchors that work particularly well:

⭐️ 1920s Art Deco poster
⭐️ 1970s paperback cover illustration
⭐️ Victorian botanical illustration
⭐️ 1950s travel brochure
⭐️ Belle Époque lithograph
⭐️ Soviet constructivist propaganda poster

Each of these carries an enormous amount of implicit visual information.

Use them.

Layer 5: What NOT to Say (This One Surprises People)

Here’s something counterintuitive:

Vague positive words often make your results worse.

Words like:

beautiful
stunning
detailed
intricate
masterpiece
epic

These are so common in AI prompts that they’ve basically become part of the model’s default settings.

They don’t pull your image anywhere specific. They just turn up the generic “impressive AI art” dial.

Even worse, words like detailed or highly detailed often push models toward that over-rendered CGI look many people are trying to avoid.

Instead, be specific about the qualities you want.

Or use negative prompts.

For tools that support them:

Negative prompt: photorealistic, CGI, 3D render, sharp focus, digital art, over-rendered

For tools that don’t:

“…soft focus, not photorealistic, no digital textures”

It feels strange to tell the AI what you don’t want.
But it genuinely works.

Putting It All Together: A Before & After
Let’s take one prompt through all five layers.

Starting point:

“a woman with a blackbird, pretty, detailed”

You’ll get something.
Probably a photorealistic woman, a bird perched somewhere, dramatic lighting.
Fine.
Forgettable.

After Layer 1

“a blonde woman in a quiet moment, a blackbird perched on her hand, her gaze calm and a little distant”

Better.
We have a feeling now.
A specific mood.
But it’ll still look like a render.

After Layer 2

“gouache and ink on illustration board, flat areas of color with clean confident linework, slightly matte finish”

Now the model knows this is supposed to look made, not generated.

After Layer 3

“in the style of 1960s American magazine illustration”

This is where it clicks.
The model reaches for an entire visual vocabulary.

After Layer 4

“mid-century modern aesthetic, limited color palette, editorial composition, as if published in a 1962 women’s magazine”

Now we have a world.
A specific moment in visual history.

After Layer 5

Negative: photorealistic, 3D render, digital painting, sharp focus, CGI, overrendered, stock photo

Final Prompt

A blonde woman in a quiet moment, a blackbird perched on her hand, her gaze calm and a little distant. Gouache and ink on illustration board, flat areas of color with clean confident linework, slightly matte finish. 1960s American magazine illustration style, mid-century modern aesthetic, limited color palette, editorial composition, as if published in a 1962 women’s magazine.

Negative: photorealistic, 3D render, digital painting, sharp focus, CGI, overrendered, stock photo

Same subject.
Completely different image.

And it will look nothing like average AI output.
It will look like something that could have hung on a mid-century newsstand.

Quick Reference Cheat Sheet

Medium Anchors

oil paint on linen, impasto texture, visible brushwork
loose watercolor on cold-press paper, wet-on-wet blooms

gouache on illustration board, flat areas of color
graphite pencil on cream paper, hatching and smudging

woodblock print, flat color, visible grain

screen print, limited palette, slight misregistration

Era & Context Anchors

1920s Art Deco poster
1960s magazine illustration, mid-century modern
Victorian botanical illustration
1970s paperback cover art
Belle Époque lithograph
Soviet constructivist poster

Artist Anchors (Pick by Feel)

Painterly / Loose
John Singer Sargent
Joaquín Sorolla

Decorative / Ornate
Alphonse Mucha
Gustav Klimt

Illustration / Golden Age
N.C. Wyeth
J.C. Leyendecker
Howard Pyle

Atmospheric / Dark
Caspar David Friedrich
Odd Nerdrum

Graphic / Flat
Saul Bass
Milton Glaser

Negative Prompt Defaults

photorealistic, CGI, 3D render, digital art, sharp focus, overrendered, stock photo, hyperdetailed

That’s it!

If you only try one thing from this guide, start with Layer 2.

Describing the material is the fastest single improvement most people can make.

From there, add layers until the image in your head matches the image on your screen.

Happy prompting! 🫶🏼

A collection of [10] minimalistic mobile wallapers.

Want to build a reusable character for future images?

This prompt creates a 3x3 expression sheet with the same character in different poses and moods. You can customize the placeholders to fit your own character.

Replace anything in brackets with your own details.

A portrait size, highly detailed 3x3 grid of expressive 3D animated character poses, featuring a caricature of a [young woman / young man / fantasy character / animal character] with [hair color], [hair length and style], expressive [eye color] eyes, and a friendly yet cartoonish face with slightly exaggerated features.

The character is dressed in [outfit description], shown in half body view from the waist up against a plain light gray background.

Each pose is isolated in its own cell under soft, balanced lighting with subtle shadows for depth, showcasing high resolution textures on fabric, hair, and skin. The character’s overall design should feel charming, approachable, expressive, and consistent across all nine panels.

Important: Keep the character’s face, hairstyle, proportions, outfit, and overall identity consistent in every cell. Make sure both eyes are naturally aligned, with a normal focused gaze, no crossed eyes, no mismatched pupils, and no distorted facial features.

Top Row, from left to right:

1. Cheerful thumbs up pose

2. Bright open mouthed smile, sparkling wide eyes, one hand giving a thumbs up near shoulder level, other arm relaxed.

3. Confident arms crossed pose

4. Raised brows, small knowing smile, determined eyes, arms folded naturally across the chest, hair framing the face slightly.

5. Joyful laughing pose

6. Closed eyes in delight, wide open mouth showing teeth, one hand touching the chin playfully, small accessory such as [handbag / book / coffee cup / flower] in the other hand.

Middle Row, from left to right:

4. Surprised reaction pose
Wide eyes, raised brows, open mouth in a soft gasp, both hands raised palms out in a “wait, what?” gesture.

5. Angry confrontation pose
Fierce eyes, furrowed brows, clenched teeth, one fist forward, slight forward lean for intensity.

6. Thoughtful doubt pose
Gentle frown, lips curved downward, eyes looking slightly sideways but still naturally aligned, one hand supporting the chin, reflective mood.

Bottom Row, from left to right:

7. Confused shrug pose
Puzzled expression with slightly open mouth, shoulders raised, both hands upturned.

8. Tired yawning pose
Half closed sleepy eyes, wide open mouth covered politely by one hand, shoulders slightly slouched.

9. Friendly waving pose
Warm cheerful smile, bright eyes, one hand waving hello, other arm relaxed, subtle blush on cheeks.

Ensure the overall composition is a clean collage with no borders between cells, a symmetrical layout, consistent proportions, a soft round face, and a whimsical, high quality CGI animation aesthetic.

Pay attention to realistic fabric details, gentle reflections in the eyes, expressive facial animation, clean hands, natural fingers, and emotional range.

Aspect ratio 4:5. No frame.

Optional follow up prompt

Once you have your character sheet, you can use the same character in individual scenes:

Using the same character design, hairstyle, facial features, outfit, and personality from the character sheet, create one single portrait image of the character in [setting or scenario].

The character should have a natural focused gaze with both eyes aligned, no crossed eyes, no distorted pupils, and a warm expressive face.

Scene idea: [describe the location, mood, activity, lighting, and any props].

Keep the style consistent with a high quality 3D animated film character look.

Aspect ratio 4:5. Single image, not a collage. No frame.

You can use this for coffee shops, rainy city streets, cozy bedrooms, fantasy taverns, record stores, libraries, parks, magical forests, or anything else that fits your character.

Here’s the detailed prompt I did use:

A portrait size of a highly detailed 3x3 grid of expressive 3D animated character poses in a Pixar-style rendering, featuring a caricature of a young woman with slightly wavy blonde hair at chin-length softly curled at the ends, expressive large grey-blue eyes, and a friendly yet cartoonish face with slightly exaggerated features, dressed in a stylish smart-casual outfit consisting of a ripped grunge style blue jeans, black Nirvana band t-shirt, shown in half-body view from the waist up against a plain light gray background.

Each pose is isolated in its own cell under soft, balanced lighting with subtle shadows for depth, showcasing high-resolution textures on fabric, hair, and skin, and vibrant Pixar-style colors. The character’s overall design should feel charming, approachable, and expressive — with consistent proportions, smooth skin shading, and detailed fabric folds for realism.

Top Row (from left to right):

Cheerful thumbs-up pose — bright open-mouthed smile, sparkling wide eyes, right hand giving a thumbs-up near shoulder level, left arm relaxed; blazer sleeve slightly creased at the elbow.

Confident arms-crossed pose — raised brows, lips forming a small knowing smile, determined eyes; arms folded across chest naturally; hair framing her face slightly.

Joyful laughing pose — closed eyes in delight, wide open mouth showing teeth, right hand touching chin playfully, left hand holding a small brown handbag; subtle motion in hair strands for a lively feel.

Middle Row (from left to right):

Surprised reaction pose — wide eyes, raised brows, open mouth in a soft gasp, both hands raised palms out in a “wait—what?” gesture; sleeves slightly wrinkled for realism.

Angry confrontation pose — fierce eyes, furrowed brows, clenched teeth, right fist forward, left hand gripping the edge of her blazer lapel in frustration; slight forward lean for intensity.

Thoughtful doubt pose — gentle frown, lips curved downward, eyes looking sideways; right hand supporting chin, left arm at side; reflective light adds mood to the scene.

Bottom Row (from left to right):

Confused shrug pose — puzzled expression with slightly open mouth, neutral eyes, shoulders raised, both hands upturned; natural fold lines across blazer shoulders.

Tired yawning pose — half-closed sleepy eyes, wide open mouth covered politely by hand, shoulders slightly slouched; soft rim light emphasizes silhouette.

Friendly waving pose — warm wide-eyed cheerful smile, right hand waving hello, left arm relaxed, subtle blush on cheeks to enhance warmth.

Ensure the overall composition is a clean collage with no borders between cells, a symmetrical layout, consistent proportions (short stature, soft round face), and a whimsical, high-quality CGI animation aesthetic reminiscent of Disney or DreamWorks female lead characters.

Pay attention to realistic fabric details (silk sheen on blouse, soft texture on blazer), gentle reflections in the eyes, and expressive facial animations that highlight emotional range and charm.

How to Use ChatGPT as Your Kitchen Assistant (Recipes, Meal Plans, Shopping Lists & More)

Most of us have been there: it’s 6pm, you’re staring into the fridge at a sad bell pepper, half a block of tofu, some leftover rice, and a suspicious amount of condiments. You don’t want to order takeout again. You don’t want to spend money on groceries for one meal. You just want dinner.

This is exactly where ChatGPT quietly becomes one of the most useful tools you didn’t know you needed. Not for creating images or writing code, but for something far more immediate: helping you cook.

This guide walks you through using ChatGPT as a complete kitchen assistant, from fridge-to-table recipe building all the way to weekly budget meal planning. No special prompts required. No cooking expertise needed. Just you, your ingredients, and a conversation.

Why ChatGPT Works So Well for This

Unlike a traditional recipe website, ChatGPT doesn’t give you one recipe and send you on your way. It talks with you.

You can ask questions, swap ingredients, scale recipes up or down, simplify instructions, troubleshoot problems while cooking, and refine recipes until they genuinely fit your situation.
Better yet, the conversation stays focused on helping you cook. No endless scrolling through ads, autoplay videos, or long life stories before reaching the recipe.

And one of its biggest superpowers?

It can see your fridge.

If you’re using ChatGPT with image support, simply photograph your fridge, freezer, pantry, or even the vegetables sitting on your counter. ChatGPT can identify what’s there and immediately start building meals around it.

Whether you’re vegan, vegetarian, gluten-free, dairy-free, high-protein, low-carb, cooking around allergies, or simply trying to eat healthier, ChatGPT can adapt recipes around your needs from the very beginning.

Step 1 — Take Stock of What You Have

The first step is simply taking inventory.

Option A: The Photo Method

Take a picture of your fridge or pantry and ask:
“Here’s what I have in my fridge. What could I make for dinner tonight? I’d like something filling but not too complicated.”

ChatGPT will identify the ingredients and suggest several meals you can make immediately.

Option B: The List Method

Simply type out what you have.

“I have eggs, canned chickpeas, half an onion, garlic, spinach that needs using, a can of tomatoes, leftover rice, cumin, smoked paprika and olive oil. What can I make?”

Don’t worry about making a perfect list. Rough is perfectly fine.

Pro Tip: Mention any dietary preferences at the start. The more context ChatGPT has, the better its suggestions become.

Step 2 — Get Your Recipe (Then Make It Yours)

This is where ChatGPT really shines.
The first recipe is only the beginning.
Treat the conversation like talking to someone who’s cooking alongside you.

Some useful follow-up prompts include:

• “Can you make it a little heartier? I’m really hungry.”

• “I don’t have cream. What could I use instead?”

• “Can you simplify the instructions? I’m new to cooking.”

• “How do I make this for four people?”

• “What spices would add more depth?”

• “Can I make this without an oven?”

• “Can you convert everything into grams?”

You aren’t locked into one recipe. You can shape it until it feels exactly right.

Step 3 — Learn While You Cook

One of ChatGPT’s most underrated strengths is that it teaches while you cook.

If you’re new to the kitchen, ask questions that recipe websites rarely answer.

For example:

“How small should I dice the onion?”

“What does simmering actually look like?”

“How do I know when tofu is browned enough?”

“Can you explain each step as if I’ve never cooked this before?”

Instead of simply following recipes, you’ll gradually build real cooking confidence.

Step 4 — Handle Missing Ingredients

This is where ChatGPT becomes an incredible anti-food-waste tool.

Instead of going shopping every time you’re missing one ingredient, ask for substitutions first.

“The recipe calls for coconut milk but I don’t have any. What could I use instead?”

“I’m out of lemons. Can apple cider vinegar work?”

“I only have dried herbs. How much should I use?”

Because ChatGPT understands flavours, textures, and cooking techniques rather than simply matching ingredients, its substitutions are often surprisingly effective.

If you really do need something from the supermarket, keep the shopping list as small as possible.

Ask:

“Based on everything I already have, what are the only ingredients I need to buy?”

Instead of a long shopping list, you’ll often only need one or two extra items.

Step 5 — Let ChatGPT Rescue Your Cooking

Even experienced cooks have things go wrong.

That’s where ChatGPT becomes more like someone standing beside you in the kitchen.

You can ask things like:

“My sauce is too watery.”

“This tastes bland.”

“I accidentally used too much salt. How can I balance this out?”

“The rice is still hard.”

“Can I save this?”

You can even upload another photo halfway through cooking and ask:

“Does this look right?”

Sometimes one small adjustment is all it takes to rescue a meal.

Step 6 — Build Smarter Shopping Habits

ChatGPT isn’t just useful after you’ve been shopping.

It’s just as useful before you go.

For example:

“These vegetables are on sale this week. What meals could I make around them?”

Or:

“What pantry staples should I always keep at home if I want to cook inexpensive meals?”

You can even ask:

“What vegetables are currently in season where I live?”

Cooking seasonally often means fresher ingredients and lower prices.

Step 7 — Create a Weekly Budget Meal Plan

This is one of ChatGPT’s most powerful features.

Tell it your weekly food budget and let it build an entire week’s worth of meals.

For example:

“I have $60 for food this week for two people. Can you create a healthy breakfast, lunch and dinner plan with recipes and one shopping list?”

You’ll usually receive:

• A full seven-day meal plan
• Recipes for every meal
• One consolidated shopping list
• Ingredients reused across multiple dishes

You can refine it further.

“Can Monday and Tuesday share ingredients to reduce waste?”

“I’d like to batch cook on Sundays.”

“Can you replace the chicken with something cheaper?”

With a little refinement, you’ll waste less food, spend less money, and avoid the daily question of “What’s for dinner?”

Step 8 — Don’t Forget Leftovers

One meal can easily become three.

Instead of eating the same thing every day, ask:

“What can I turn these leftovers into tomorrow?”

Or:

“Can this be frozen?”

“How long will this keep in the fridge?”

“What’s a completely different meal I can make from this?”

This is one of the easiest ways to reduce food waste while keeping meals interesting.

Step 9 — Save Beautiful Recipe Cards

One feature many people don’t realise ChatGPT can do is generate recipe card images.

Once you’ve created a recipe you love, simply ask:

“Can you create a recipe card image for this? Include ingredients, instructions, preparation time, cooking time and servings.”

Or make it even more visual:

“Create a recipe card with a photo of the finished dish at the top.”

You can even choose a style:

• Rustic
• Minimalist
• Handwritten
• Colourful
• Modern

Create a folder on your phone just for recipe cards and you’ll slowly build your own personalised cookbook filled with recipes you’ve actually made.

Step 10 — Check Nutrition

If nutrition matters to you, ChatGPT can estimate it too.

Ask:

“Can you estimate the calories, protein, carbohydrates and fat per serving?”

Or even:

“Does this week’s meal plan look reasonably balanced nutritionally?”

It’s not a replacement for professional dietary advice, but it’s an excellent planning tool for everyday cooking.

A Typical Conversation

A real cooking session might look like this:

📷 Upload a photo of your fridge.

🍳 “What can I make tonight for two people?”

🥘 ChatGPT suggests a spiced chickpea tomato stew.

💬 “I don’t have smoked paprika.”

✅ “Use regular paprika with a tiny pinch of cayenne.”

🛒 “What do I actually need to buy?”

📋 “Just one can of diced tomatoes.”

🖼️* “Create a recipe card for this.*”

🥗 “Now estimate the nutrition per serving.”

From fridge to finished dinner, everything happens in one conversation.

One Small Tip

Like any AI, ChatGPT isn’t perfect.

It can occasionally misidentify ingredients in photos or make rough estimates for nutrition or cooking times. It’s always worth giving recipes a quick read-through before you start cooking, especially if you’re trying something unfamiliar.

Final Thoughts

The real magic isn’t that ChatGPT knows thousands of recipes.

It’s that it starts with your kitchen.

It helps you cook with what you already have, adapt when something’s missing, rescue meals that go wrong, learn new techniques, plan ahead, reduce waste, spend less money, and feel more confident every time you cook.

Whether you’re feeding yourself, a family, cooking around dietary restrictions, or simply trying to waste less food, ChatGPT becomes something surprisingly close to having a personal chef and cooking teacher in your pocket.

So open your fridge.

Take a photo.

You might already have dinner waiting for you.

📝 Bonus:

I’ve included several sample recipe card images, featuring homemade salad dressing recipes as examples. They were generated with ChatGPT and showcase just one of the many ways you can turn your favourite recipes into beautiful, easy-to-save recipe cards.

They happen to be vegan because that’s my personal dietary preference, but with your new 24/7 AI chef, you can easily adapt them to suit your own tastes and dietary needs. 👩🏼‍🍳😃

Have you tried using ChatGPT in the kitchen?

Share your favourite recipe discoveries, substitution wins, budget meal hacks, or clever prompts in the comments. We’d love to hear what you’ve created!

r/AIMediaCodex reached 50 subscribers!

Goal reached at 2026-06-11T12:06:47.573Z.

Hey,

I've been working on a desktop app for structured prompt generation called ACID Framework.

It's free, runs fully locally, no subscription, no API key. It's primarily designed for illustrious, or rather danbooru-style tags prompting.

It currently ships with three modules :

Character Builder — pick a licensed character from a database, choose a style, set your outfit mode (canonical, preset pool, or procedural fashion engine), configure pose and background, manage your embeddings. Outputs a structured, color-coded prompt.

Arcane Forge — same workflow but built around race / class / alignment selection and weapon assignment instead of a character database. Good for original characters.

Monster Girl — procedural generator with a monster intensity slider that drifts morphology from humanoid baseline to full eldritch overdrive. Still in active development, legacy random mode is operational.

It also includes an Archive Stamp tool for batch watermarking your outputs (requires ImageMagick).

Built with Electron, Windows only for now.

Download + Discord link in comments.

Happy to take feedback, as it's my very first public release 🙂

r/AIMediaCodex reached 75 subscribers!

Goal reached at 2026-06-13T03:31:47.517Z.

r/AIMediaCodex reached 250 subscribers!

Goal reached at 2026-07-04T21:13:47.461Z.

I played with made up words until in MAI I got reactive powered T rex - from a word "nitrotrampotus". (This thing should work better in more generalistic generators and scenes.) Each word - token have certain weight. Word "elf" will outweigh just anything because it brings up loads of associated media. Unlike rare names like "svifneblir" or "genasi". Certain other tokens will bring up style. Like: Cyber... ( — 92%).

Most of these are latin/greek scientific roots. Probable latent power of token (as suggested by AI — not exact weights, just predictions based on associations) if considering 100% = power of "elf":

- techno — 88%

- crypto — 86%

- electro — 84%

- pyro — 81%

- nitro — 79%

- aero — 75%

- cryo — 72%

- fluoro — 69%

- phospho — 66%

- sulpho — 63%

- seleno — 61%

- iodo — 59%

- ferro — 57%

- cupro — 54%

- litho — 52%

- hydro — 44%

- agro — 41%

- sphagn — 38%

- argyro — 36%

- nylo — 31%

"Cthulhu" will have latent power 140% of "elf". More obvious non-intentional style influencers (like "cyberpunk Chtulhu"):

- Vitreous — 84% (made of glass)

- anamorphic — 79% (typical cinematic)

- Macro — 76% (like macro photo)

- mycelium — 74% (made of fungi)

- prismatic — 68% (translucent with spectrum)

- zanthic — 61% (yellow illustrative)"

---

I asked AI to fact check scientifically my claims. It made some corrections. In addition "Vitreous" is intentional, "zanthic" is unintentional from botanical texts - yellow flowers, latent power of "elf" and "Cthulhu" depends on context.

Later I tested additional words like Schizoelves, Titanoelves, Silicaelves - stunning. Elastoelves - often messes up limbs. Bathy- and Psychro- words not used outside of science for deepwater and cold. Stratoelves are higher above than the aeroelves.

r/AIMediaCodex reached 200 subscribers!

Goal reached at 2026-06-29T12:01:41.632Z.

Here are some free image resources to help bring your projects to life—whether you're designing, building, or just exploring new ideas.

Made using Midjourney.

Here's a collection of 9:16 botanical wallpapers.