Clutter

Best for beginners. Describe what you want in a chat and the picture comes back, no learning curve.

PirateDiffusion Telegram

Pro studio (SpyGlass) Web

Images and video from a chat, with short commands. The most convenient tool for Telegram users, with a web companion.

Best for power users. Full control over models, settings and workflows in a browser studio.

Discord bot (Vector)

Best for communities. Add it to your own server and run any workflow from a channel.

Unified Editor Web

One screen for every model and workflow: prompts, references, edits and video, built into your Graydient account.

Civitai Web

Pay per use

Generate on Civitai's own site; every image is paid for with Buzz credits.

Local apps

Requires setup

Set up local programs if your computer has capable hardware.

ModelDuel Web

Pay per use

Generate the same prompt on up to 50 checkpoint/base models at a time.

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Graydient Cloud GPU

2,465 downloads · 248 likes on Civitai

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RunPod Cloud GPU

Charged by the minute

Rent a GPU by the minute and set the model up yourself.

Created by

Zovya

on Civitai

Clutter Home by Zovya isn't about creating a messy house, but rather trying to make environments more lived in and realistic. The higher the weight, the more random objects fill the shelves and corners and floor of the room, and low weight makes the room tidy. Use it with semi-realistic base models like and

Creator notes

Fill your background with a lot of stuff with a quick prompt. Gives any scene that "lived in" look and feel. Follow me to make sure you see new tools like this, or new , and when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss. How to use: - Clutter-Home: Just place the trigger work in your positive prompt ranging from strength 0.1 to 1.5. Mostly domestic clutter you'd find in a home. If you see too many of an object you don't need, be sure to add that to the negative prompt to have less of it. - Clutter-Mechanical: Just place the trigger work in your positive prompt ranging from strength 0.1 to 1.5. Mechanical clutter you'd find in an auto garage repair shop or other industrial setting. If you see too many of an object you don't need, be sure to add that to the negative prompt to have less of it. Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can.

Trigger words

Clutter-Mechanical

SHA256

7BFDB20388CD3511DB6FB0B0D0F2868729B9FCA121A1314C7EBB1B180FA6B43D

Ranking badge

Updated Oct 22, 2026

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Clutter Popularity Trend

Heat score, last 12 months

Heat score

7,768°

This week

▲

0.1%

7,770° then, 7,768° now

This month

▲

0.4%

7,775° then, 7,768° now

Past year

▲

7.8%

7,833° then, 7,768° now

7,000°

Floor

The scale runs from 0° to 9,999°. Everything below 7,000° is kept for models no source reports on yet, which carry a stand-in number there so lists stay complete. 7,000° is where measured data begins: a model with real data but almost no downloads sits at the floor, and the measurements fill the degrees above it. The floor says nothing about the model; only the degrees above it do, and they are what separates one model from another.

+1,018°

Civitai downloads

2,465 downloads of this exact version on Civitai. Downloads are the heaviest ingredient and are counted on a log scale: ten times the downloads adds the same 300°, so a model with a million downloads is not a thousand times hotter than one with a thousand. The six download sources share that one term, split between them in proportion to their counts.

+359°

Likes

248 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.

−609°

Age

−609° because the SD15 weights came out in 2022. Every model inherits the age of the weights it is built on: 150° a year, up to 750°, and it keeps growing until then. Without it the top of the list would be 2022 and 2023 checkpoints on the strength of downloads that had years to pile up.

Show detailed breakdown

Every number on this site can be checked. This model's heat score is 7,768°, and here it is built one ingredient at a time, with the running total after each: the floor, the degrees each source adds, the bonus for the kind of model and what the age of its weights takes away. The colors are the bands of the chart above. The glossary at the end defines every term.

1
Start at the floor.
Why 7,000° and not zero: the scale runs from 0° to 9,999°, and the part below 7,000° is reserved for models no source reports on yet, which carry a stand-in number there so the lists stay complete and never outrank a model with data. 7,000° is where measured data begins. A model with real data but almost no downloads sits here; everything that follows is measurement, and the room above the floor holds ten tenfold steps in downloads at 300° each. The floor is the same for every model, so it decides nothing; the degrees above it do.
7,000°
running total
2
Add the downloads.
2,465 download-equivalents in all, from Civitai downloads. Ten times the downloads adds the same 300°, so size matters but never runs away with the score.
+1,018°
8,018°
running total
3
Add the likes.
248 likes and thumbs up, at half the weight of a download.
+359°
8,377°
running total
4
Take off the age.
The SD15 weights came out in 2022: 150° a year, up to 750°, growing until then.
−609°
7,768°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
7,768°

Glossary: the terms used here

Heat score: One number for how much a model is used and wanted right now, from 0° to 9,999°. Every list on this site that says hottest is sorted by it and nothing else.
Floor: The 7,000° every model with real data starts from. The scale runs from 0° to 9,999°; the part below the floor is reserved for stand-ins (models without data), so that a model with data always ranks above one without. The floor is the same for everyone and decides nothing; the degrees above it are the measurement.
Download-equivalents: Everything the score treats as a download, added up: downloads themselves, each torrent seeder as 1,000, each AI Horde image and each run on a generation site as one.
Log scale: Counting by tens, not by ones: going from 1,000 to 10,000 downloads adds the same degrees as going from 10,000 to 100,000. It keeps giants from crowding out everything else.
Likes: Thumbs up and likes from every source, worth half a download each on the log scale.
Adoption rate: How many downloads a day a model gets right now, from the difference between two readings of a source. A quarter of the weight of the download term.
Measured and estimated: Measured means two readings of a source exist and the difference is real. Estimated means only today's total is known and the past is spread over the model's life; the site says which one it is showing.
Seeder: Someone who keeps a copy of the weights online for others to download over a torrent, or a hosted mirror doing the same. Each one counts as 1,000 downloads.
AI Horde: A volunteer network that generates images for free on donated computers. The number of images it has made with a model is public, and each counts as one download.
Generation sites: Sites that host their own copies of a model and let people generate with it, such as PixAI, SeaArt and Yodayo. Their downloads count like Civitai's and each generation run as one download.
OpenRouter tokens: A text model served through an API, such as Claude or GPT, has no weights to download, so its usage is measured in tokens: the pieces of text it read and wrote through OpenRouter, a gateway many apps use, over the last 30 days. Every 10,000,000 tokens count as one download. Source: OpenRouter (openrouter.ai/rankings), CC BY 4.0.
Full model (checkpoint): The weights themselves, the file that generates on its own. It gets a bonus because add-ons depend on it.
LoRA and embedding: Small add-on files that steer someone else's weights toward a style, a character or a concept. They cannot run alone.
Family and weights: The base a model is built on, such as SD 1.5, SDXL, Flux or Wan. Every model inherits the release date of its family's weights.
Age: Degrees taken off for how long ago the family's weights came out: 150° a year, up to 750°. It keeps old downloads that had years to pile up from freezing the top of the list.
Family boost: A small, bounded nudge for LoRAs of a family this site is pushing forward right now, always listed in the breakdown.
Stand-in score: A stable number below the floor given to a model no source reports on yet, so lists stay complete. It never ranks above a model with data.
New! (grace period): A model less than 7 days old shows New! instead of a score and holds no place in the rankings. Its score is computed from day one, but a model one day old grows faster than anything, so without the wait the week's #1 would always be whatever came out yesterday rather than what held up for a week.
Trend: How a model's growth over a period compares with the typical model's growth over the same period. Faster than typical reads as a rise, slower as a fall.
Typical model: The middle of the catalog: half the models with a figure grew faster over the period, half slower.

How this model's popularity has moved against the rest of the catalog: its growth in downloads, likes and usage over each period, measured against the typical model's growth over the same period, with its heat score at the time. Above the typical growth reads as a rise, below it as a fall. The past is reconstructed from today's totals, the model's first day and its measured download speed where two readings exist; a model that did not exist at the start of a period shows n/a.

Example renders

Prompts and settings shared by the people who made these renders on Civitai. Pick a render to see how it was made.

Get this prompt

Render by Some_Eggs on

Settings

Sampler

DPM++ 2M Karras

Steps

Guidance

Seed

752378768

Size

512x768

Clip skip

Weight used

Prompt

cinematic still, high quality, 0001SRGoodPictureV10, gongye, 1girl, ((Samus Aran)), solo, ponytail, blue crop top, sleeveless, midriff, wristband, blue shorts, high heels, ((walking in the analog sci-fi AlienCorridor hallway)), vignette, highly detailed, high budget, cinemascope, epic, gorgeous, Clutter-Mechanical, CS-BBz

Negative prompt

BadDream, daylight, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured, blurry,

Render by zangoo16522 on

Render by zangoo16522 on Civitai

Settings

Sampler

DPM++ 2M

Steps

Guidance

Seed

207728545

Size

1216x832

Clip skip

Weight used

Prompt

Create a vibrant scene illustrating 'Cadillac and Dinosaurs' in the 26th century. Jack Tenrec and Hannah Dundee journey down a rugged forest road in Jack's modified 1950 Cadillac Series 62 convertible, seamlessly blending petrol and nuclear power. Mustapha Cairo and Mess O'Bradovich follow closely on their modified Harley Davidson bikes, joined by Blade, Ferris, and Hogg. Unexpected encounters with roadside dinosaurs create chaos, as some emerge from the jungle while a small flying dinosaur adds excitement. Amidst this, the team must escape a trap set by Blade, Ferris, and Hogg, close-up, anime style, best pixel art, neo-geo graphical style, retro nostalgic masterpiece, 128px, 16-bit pixel art , 2D pixel art style, adventure game pixel art, inspired by the art style of hyper light drifter, masterful dithering, superb composition, beautiful palette, exquisite pixel detail.

Negative prompt

Curls, Braids, Ugly, disgusting, bad quality, worst quality, 1:1, Unrealistic hair, Unrealistic eyes, cartoon, plastic, bad photo, (worst quality, low quality, blurry:1.3), , low-quality, deformed, text, poorly drawn, glitched, deep fried, jpeg artifacts, out of focus, gradient, soft focus, low quality, poorly drawn, blur, grainy fabric texture, text, bad art, boring colors, blurry platformer screenshot

Settings

Sampler

DPM++ 2M

Steps

Guidance

Seed

207728550

Size

1216x832

Clip skip

Weight used

Prompt

Negative prompt

Render by Some_Eggs on

Render by Some_Eggs on Civitai

Settings

Sampler

DPM++ 2M Karras

Steps

Guidance

Seed

1699685937

Size

512x768

Clip skip

Weight used

Prompt

cinematic still, high quality, 0001SRGoodPictureV10, gongye, wide shot of ((Samus Aran)), solo, ponytail, blue crop top, sleeveless, midriff, wristband, blue shorts, high heels, ((walking in the analog sci-fi AlienCorridor hallway)), vignette, highly detailed, high budget, cinemascope, epic, gorgeous, Clutter-Mechanical,

Negative prompt

BadDream, daylight, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured, blurry, blurry face, bad anatomy, badhand, ng_deepnegative_v1_75t

Settings

Sampler

DPM++ 2M Karras

Steps

Guidance

Seed

1006100530

Size

512x768

Clip skip

Weight used

Prompt

Negative prompt

BadDream, daylight, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured, blurry,

Render by Zovya on

Settings

Sampler

DPM++ 2S a Karras

Steps

Guidance

Seed

1749929807

Size

512x768

Prompt

pretty woman mechanic working in a submarine engine room (Clutter-Mechanical:1) (best quality) (intricate details) (8k) (HDR) (cinematic lighting) (sharp focus)

Negative prompt

((cleavage)) (monochrome) (disfigured) (grain) (poorly drawn) (mutilated) (lowres) (deformed) (dark) (lowpoly) (CG) (3d) (blurry) (duplicate) (watermark) (label) (signature) (frames) (text)

Render by Zovya on

Settings

Sampler

DPM++ 2S a Karras

Steps

Guidance

Seed

3449272138

Size

512x768

Prompt

basement workshop assembling a robot from scrap (Clutter-Mechanical:1) (best quality) (intricate details) (8k) (HDR) (cinematic lighting) (sharp focus)

Negative prompt

(monochrome) (disfigured) (grain) (poorly drawn) (mutilated) (lowres) (deformed) (dark) (lowpoly) (CG) (3d) (blurry) (duplicate) (watermark) (label) (signature) (frames) (text)

Render by Some_Eggs on