Klein 9B Aesthetic

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Created by

Ray3780

on Civitai

by Ray3780 - Klein 9B Aesthetic

Creator notes

The flux.2 klein algorithm has poor aesthetics, so this model was trained to improve it. flux.2 klein 的美学效果较差，因此训练这个lora来改进它。 It's still trained using a multimodal approach, and the editing results are excellent, capable of performing many editing functions. 依旧是多模态方式训练，编辑效果优秀，能完成很多种编辑功能。 9B BASE：0.4-1， 20-30 steps, cfg4-6, Euler + simple. 9B DISTILLED：0.4-1， 4-10 steps, cfg1-1.5, Euler + simple. Online usage-在线试用: | | SeaArt

411 downloads · 24 likes on Civitai

SHA256

A682B789616C0B064321CC49CE8E4C558DFA862102615910423F3348A6372AB4

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Updated Oct 22, 2026

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Klein 9B Aesthetic Popularity Trend

Heat score since 21 Apr 2026

Heat score

7,863°

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.

+790°

Civitai downloads

411 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.

+210°

Likes

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

+9°

Adoption rate

About 0 downloads a day, measured between two readings of the sources, never guessed from a lifetime average. Speed weighs a quarter of the download term, so a fresh surge shows without letting a one-day spike outrank years of use.

−146°

Age

−146° because the Flux2 weights came out in 2025. 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 7,863°, 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.
411 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.
+790°
7,790°
running total
3
Add the likes.
24 likes and thumbs up, at half the weight of a download.
+210°
8,000°
running total
4
Add the adoption rate.
About 0 downloads a day right now, measured between two readings, at a quarter of the weight.
+9°
8,009°
running total
5
Take off the age.
The Flux2 weights came out in 2025: 150° a year, up to 750°, growing until then.
−146°
7,863°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
7,863°

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

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Sampler

Euler

Seed

259158092

Size

1024x1536

Prompt

时尚高级写真风格,20岁的日本女性超模,利落黑色短发（发丝纹理细腻柔顺）,她身着黑色深 V 紧身西装（面料哑光质感细腻,肩部拼接设计独特）,圆润的乳沟和细腻的皮肤,妆容精致（深色哑光唇妆色泽饱满,眼妆清透自然）,她半闭双眼,偏着头抬起下巴；佩戴双层圆润珍珠项链（珍珠光泽温润,链间装饰吊坠细节精致）,搭配同系列珍珠金属戒指、胸针（装饰纹样细腻,金属质感明亮）；黑色美甲点缀银色装饰（美甲纹理清晰,装饰细节精致）,双手交叠,抬至胸前调整着戒指的位置；背景为城市天台远景（模糊高楼轮廓、淡蓝白云天空,柔和自然光铺陈）,画面底部呈现硕大的白色 “Klein 9B Base Aesthetic V1” 艺术字样,复杂细节（西装面料、肌理、珍珠光泽层次、美甲装饰细节、发丝纹理、背景远景明暗层次）,高质量,8K 超高清,时尚高级氛围,细节极致刻画,高评分时尚大片,奢华,高级感,层次丰富,大师构图,专业模特,真实皮肤,摄影风格,最右下角有“by Ray3780“。

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