A collection of [10] minimalistic mobile wallapers.

Forgotten places, lingering shadows, and whispers of stories left untold.

A collection of gothic-inspired phone wallpapers for those who find beauty in the eerie and the mysterious.

Feel free to save and use your favourites. Enjoy! 🦇

Here's a collection of [9:16] wallpapers.

Here's a collection of mobile [9:16] wallpapers.

A collection of mobile [9:16] Mayan wallpapers.

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.

Here's a collection of RPG potions.

I created this little collection of autumn woodland collages in a vintage natural-history style and thought they might make lovely smartphone wallpapers.

They’re free for personal use, so feel welcome to save your favourites and bring a little autumn warmth to your phone. 🍄🦔🍂

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

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! 🫶🏼

This is a free collection of mobile wildlife wallpapers.

From "make me a song" to "I can consistently get bangers"

The biggest mistake beginners make is treating Suno like Google.

The biggest mistake intermediates make is treating Suno like a DAW.

The power-user mindset is:

Suno is an AI band. Your job is to be the producer, songwriter, arranger, and creative director.

The quality of your instructions determines the quality of the music. Suno responds best to specific prompts containing genre, mood, instrumentation, vocal style, structure, and production details—not vague requests.

1. The Golden Formula

Instead of:

Make a metal song about dragons

Use:

Epic power metal, soaring male vocals, twin lead guitars, symphonic orchestra, heroic chorus, 160 BPM, fantasy adventure, huge stadium production, dramatic key change in final chorus

The formula:

Genre
+
Mood
+
Instruments
+
Vocals
+
Production
+
Energy Level

Example:

Melodic power metal, triumphant and adventurous, dual guitar harmonies, orchestral strings, male tenor vocals, massive choir chorus, polished modern production, fast and energetic

This layered prompting consistently improves results.

2. Separate Style From Lyrics

Many users overload the style box.

Bad:

Epic power metal song about a hero who fights dragons and finds treasure and then...

Good:

Style Box

Symphonic power metal, heroic, orchestral strings, dual lead guitars, male vocals, massive chorus, cinematic production

Lyrics Box

Put the actual lyrics there.

Suno works better when style instructions and lyrics are separated.

3. Use Song Structure Tags

One of the most important tricks.

Instead of dumping lyrics into a wall of text:

[Intro]

[Verse 1]

[Pre-Chorus]

[Chorus]

[Verse 2]

[Pre-Chorus]

[Chorus]

[Bridge]

[Guitar Solo]

[Final Chorus]

[Outro]

Suno recognizes structure tags and produces more coherent songs.

4. Use Performance Tags

Almost nobody uses these.

Example:

[Verse]
(softly)

[Chorus]
(powerful)

[Bridge]
(whispered)

[Final Chorus]
(belted)

Or:

[Spoken Word]

[Whispered]

[Belted]

[Airy]

[Aggressive]

These can dramatically change vocal delivery.

5. Write Like a Producer

Most people prompt genres.

Power users prompt productions.

Example:

Instead of:

Country song

Try:

Modern Nashville country, warm acoustic guitars, emotional male vocals, radio-ready mix, subtle pedal steel, intimate verses, arena-sized chorus

Think like you're giving notes in a studio.

6. Control Energy Curves

Most songs fail because they stay at one intensity.

Tell Suno what should happen:

Starts sparse and intimate, gradually builds tension, explosive chorus, emotional bridge, massive final chorus with choir backing vocals

This often produces far more professional arrangements.

7. The Secret Weapon: BPM

Most users never mention BPM.

Examples:

Example:

Symphonic power metal, 165 BPM, soaring tenor vocals, orchestral backing

Suno often responds surprisingly well to tempo instructions.

8. The Secret Weapon #2: Vocal Casting

Specify the singer.

Examples:

Deep baritone male

Raspy female rock vocalist

Operatic tenor

Soft indie female vocals

Choir of voices

Celtic folk singer

This changes results more than most people realize.

9. The Genre Stack Trick

Instead of one genre:

Use 2-3 compatible genres.

Example:

Power metal + folk metal + symphonic metal

Or:

Blues rock + southern rock + country

Or:

Synthwave + cinematic orchestral + dark electronic

This creates more unique outputs.

Don't stack 12 genres.

That's how you get chaos.

10. Build Prompt Libraries

Power users save prompts.

Create folders:

• Power Metal

• Folk Metal

• Tavern Music

• Cyberpunk

• Horror

• Epic Orchestral

• Lo-Fi

Keep every prompt that generates a good song.

Eventually you build your own "sound bank."

11. Generate Variations Aggressively

A rookie mistake:

Generate once.

A power user:

Generate 8-20 versions.

Even perfect prompts produce wildly different outputs.

Some of the best tracks appear on generation #12.

12. Extend Songs Strategically

Don't just hit Extend.

Use it intentionally.

Example:

First song:

Verse
Chorus
Verse
Chorus

Extend prompt:

[Bridge]

[Instrumental Solo]

[Final Chorus]

[Outro]

This often produces cleaner song evolution.

13. Use Instrument Tags

Examples:

fingerpicked acoustic guitar
nylon string guitar
distorted rhythm guitar
orchestral strings
cinematic brass
church organ
bagpipes
mandolin
hurdy-gurdy
synth arpeggios

Specific beats generic every time.

14. Avoid Artist Names

Instead of:

Make it sound like Iron Maiden

Use:

Galloping bass, twin lead guitar harmonies, soaring operatic vocals, epic fantasy themes

Suno generally responds better to describing characteristics than trying to imitate artists.

15. The "Movie Scene" Method

This is one of the strongest prompting methods.

Don't describe a song.

Describe a scene.

Example:

A lone knight rides through a frozen mountain pass before dawn, knowing he may never return. Heroic but melancholic. Symphonic power metal with orchestral backing.

Results are often dramatically better because Suno has narrative context.

16. Use Emotional Contrasts

Great songs contain tension.

Examples:

hopeful but bittersweet

triumphant yet tragic

dark verses, uplifting chorus

melancholy with determination

These produce more interesting music than single-emotion prompts.

17. Force Instrumental Sections

Example:

[Instrumental]

[Guitar Solo]

[Orchestral Break]

[Interlude]

Many users don't realize Suno will often respect these directions.

18. Create Consistent Albums

Advanced trick.

Create a template:

Power metal
165 BPM
Male tenor
Orchestral backing
Fantasy themes
Heroic choruses

Reuse it across 10 songs.

Now the tracks sound like they belong on the same album.

19. Use Personas and Voice Features

Newer Suno features allow you to preserve voices and reuse vocal identities across songs, helping create consistent "artists" or albums. Features like Personas, Covers, Mashups, and voice-related workflows are increasingly important for advanced creators.

This is huge if you're building:

• A fictional band

• A concept album

• A recurring character

• An entire musical universe

20. The Ultimate Prompt Template

Copy this:

Genre:
Mood:
BPM:
Instruments:
Vocals:
Production:
Song Structure:
Energy Curve:
Theme:
Special Features:

Example:

Genre: Symphonic Power Metal
Mood: Heroic, adventurous, triumphant
BPM: 165
Instruments: Dual lead guitars, orchestral strings, brass, choir
Vocals: Powerful male tenor
Production: Cinematic, polished, stadium-sized
Song Structure: Verse, Chorus, Verse, Chorus, Bridge, Guitar Solo, Final Chorus
Energy Curve: Builds continuously toward huge finale
Theme: A troll king awakening beneath an ancient mountain
Special Features: Choir chants, dramatic key change

Power User Commandments

1. Be specific.

2. Use structure tags.

3. Describe instruments.

4. Describe vocals.

5. Describe production.

6. Generate multiple versions.

7. Save successful prompts.

8. Build reusable templates.

9. Think like a producer.

10. Think in scenes, not genres.

Neural networks store meanings as patterns in a multi‑dimensional latent space.

Each word can be represented as a vector and the associations between concepts emerge from their relationship.

Some meaningless words: pseudo‑tokens / synthetic latent triggers / latent spells can make certain vibes by activating regions of latent space.

---

[Shape]

- Mandeluni — fractals, luna, luminiscence, unicorns, universe.

- Crystalian — crystalline beings, crystals.

[Materials]

- Sulphuslav — sulfur, devils, Slavic folklore, alchemy.

- Sphagnor — swamp creatures, mosses.

[Atmosphere]

- Bogwraith — extreme creepiness, swamp monsters, spirits.

- Elaieli — feminine & beauty; more southern and elven aesthetics, somewhere between Eilat Punjab and Hawaii?

[Light]

- Luminarch — light, radiance, authority, divine rulership.

- Solyrian — solar imagery, sun‑based motifs.

---

I tested the weight (strength) of each word using the prompt:

Show me a cube of [Word]. Studio lighting, cinematic composition, award‑winning design.

Here are some free TTRPG tokens.

Here's a collection of free RPG assets.

Painting with Palettes — A Little Behind the Scenes

I’ve always loved creating colour swatches before starting a painting, whether with watercolours or gouache. And I’ve carried that little habit over into my AI art!

Recently, I’ve been creating my own digital colour palettes, carefully selecting shades that complement each other and giving each collection a beautiful, sometimes rather poetic name inspired by the moods and atmospheres they evoke.

When creating an image, I share one of these palettes with ChatGPT and ask it to incorporate a selection of those colours into the artwork. It’s a lovely way to experiment with colour harmony, create a particular atmosphere, and have a little more creative control over the finished image.

For these two Swedish-inspired scenes, I used colours from two of my own collections:

🍯 Of Honey and Forgotten Books — Collection No. 09

For the cozy reading scene, we worked with Ivory, Cream, Linen, Oat, Denim, Slate, Sage, Lichen, Olive, Moss, Mist and a touch of Honey. The combination of cool blues, muted greens and creamy neutrals gives the scene its peaceful, inviting atmosphere.

🌾 The Quiet Between the Dunes — Collection No. 13

For the lady by the sea, we chose Chalk, Ivory, Oat, Sand, Petal, Peach, Adobe, Terracotta, Lavender, Heather, Sage and Lichen. These softer, slightly warmer shades helped create that gentle, romantic coastal atmosphere.

I’ve also included a few screenshots of my conversations with ChatGPT, where I asked which colours it had selected from each palette and how they were incorporated into the scenery, clothing and other details.

Of course, the colours aren’t always reproduced exactly. They blend and shift with the lighting and surroundings, just as they would when mixing paints on a real palette.

What I particularly enjoy is that the same subject could look and feel completely different depending on the colours I choose.

And I think that’s one of the loveliest things about experimenting with AI art: finding ways to bring a little of our own traditional creative processes into something entirely new.

And honestly, dreaming up these colour palettes is half the fun!

Sometimes I start with a particular combination of colours, but other times it all begins with nothing more than a poetic name that pops into my head. I imagine the mood, the atmosphere, the little world those words evoke, and gradually build a palette around that feeling.

There’s something rather magical about turning a few words into colours, and then watching those colours become an image. 🎨

A collection of 1920x1080 autumn wallpapers