Mika

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.

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Discord bot (Vector)

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

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

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

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Graydient Cloud GPU

712 downloads · 29 likes on Civitai

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Created by

hypopo

on Civitai

__html__A fictional character that is pretty flexible. You may need to raise the (attention) when used in robust prompts.

Creator notes

A fictional character that is pretty flexible. You may need to raise the (attention) when used in robust prompts.

Trigger words

Mikaxl6

SHA256

57AA3B7AFA41EB61D3DBD9B0FEED1F8793348D53BE1C54D43190675C738276C6

Ranking badge

Updated Oct 22, 2026

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Mika Popularity Trend

Heat score, last 12 months

Heat score

7,580°

This week

n/a

Wasn't released/tracked

This month

n/a

Wasn't released/tracked

Past year

n/a

Wasn't released/tracked

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.

+855°

Civitai downloads

712 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.

+222°

Likes

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

−497°

Age

−497° because the SDXL weights came out in 2023. 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 7,580°, 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.
712 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.
+855°
7,855°
running total
3
Add the likes.
29 likes and thumbs up, at half the weight of a download.
+222°
8,077°
running total
4
Take off the age.
The SDXL weights came out in 2023: 150° a year, up to 750°, growing until then.
−497°
7,580°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
7,580°

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.

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Render by hypopo on

Settings

Sampler

DPM++ 2M Karras

Steps

Guidance

Seed

4092370494

Size

1152x896

Prompt

A captivating digital art by Enki Bilal; showing a beautiful mikaxl6, gazing into the distance atop a desolate futuristic cityscape, featuring sharp cheekbones, with blonde hair flowing in the wind, and clad in a sleek bodysuit with cybernetic enhancements..

Negative prompt

featureless, obese

Render by hypopo on

Settings

Sampler

DPM++ 2M Karras

Steps

Guidance

Seed

182593092

Size

1152x896

Prompt

a post-apocalyptical creation from behind with atmospheric lighting captured by Enki Bilal; it is showcased a honduran, of legal age, and normal ((Mikaxl6)), having a blonde-haired ponytail; wearing a black streetwear tank top and cargo pants; looking back winking amidst a street at a misty night with dense fog.

Negative prompt

obese

Render by hypopo on

Settings

Sampler

DPM++ 2M Karras

Steps

Guidance

Seed

820972890

Size

896x1152

Prompt

an overexposed creation by ashley wood of a lady looking like mikaxl6.

Negative prompt

obese, featureless

Render by hypopo on

What is ComfyUI? A beginner's guide to nodes, workflows and the first graph

Settings

Sampler

DPM++ 2M Karras

Steps

Guidance

Seed

134093314

Size

896x1152

Prompt

An alluring digital art by dave mckean; showing a pirate girl (looking like mikaxl6), leaning nonchalantly against the mast of a weathered pirate ship at sea, featuring piercing emerald eyes, a rogue's tricorn hat, and a translucent shirt that reveals a cutlass at her hip.

Negative prompt

featureless, obese

Run Locally

How to install

Dec 17, 2025

Open Civitai Download

Mikaxl6.safetensors

0 MB · SafeTensor

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