Semi realistic animation style

8249°

#anime #semi-real #realistic #cartoons #artstyles #semi-realistic

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Created by

joker8848

on Civitai

by joker8848 - Semi-realistic animation style V3.9

Creator notes

V4.0 听说KREA2模型更加细致效果更好就炼了一个，确实很强，但是训练成本也是真的高，建议强度0.8-1 I heard the KREA2 model offers finer detail and better results, so I trained one; it is indeed very powerful, though the training cost is truly high. I recommend a strength setting of 0.8–1. V3.9使用了新的训练方式，大幅度减少了画面的噪点，质感也会更好 Version 3.9 uses a new training method, which significantly reduces image noise and improves image quality. 在单独使用V3.9时，建议强度1 When using V3.9 alone, a lora strength of 1 is recommended. V3.5版本更改了训练参数，优化了皮肤质感，减少了服装布料褶皱过多的问题 Version 3.5 adjusted training parameters, optimized skin texture, and reduced the issue of excessive fabric wrinkles. 建议强度0.8 V3版本是我目前调整最满意的版本，优化了颜色饱和度和光影，同时优化了服装和背景的质感 Version V3 is the one I am most satisfied with so far; I have optimized the color saturation and lighting, as well as the textures of the clothing and background. Recommended strength: 0.7–1; consider lowering the strength when using in combination with other LoRAs. 触发词Trigger words -realisticV3 V2这个版本是巨大的优化改善了皮肤颜色，服装质感，手脚崩坏等问题。并且大幅改善了脸部的表现力 Version V2 brings massive improvements. It addresses issues such as skin tones, clothing textures, and distortions in the hands and feet, while also significantly enhancing facial expressiveness. 此LORA会产生动漫风格的脸和偏向写实风格的身体和服装（包括背景）建议强度0.7-1 触发词 -Realistic Animation This LoRA generates anime-style faces combined with semi-realistic bodies, clothing, and backgrounds. Recommended weight: 0.7-1 Trigger word: -Realistic Animation

Trigger words

@semi-realisticv3

realistic skin

1,673 downloads · 124 likes on Civitai

SHA256

06371F99D509D328997BA9FEE0EAC5714D671F3AA24C99F8989124FF5B0EAB98

Semi realistic animation style Popularity Trend

Heat score since 23 Aug 2026

Heat score

8,249°

This week

▲

4.6%

8,242° then, 8,249° now

This month

▲

29.7%

8,207° then, 8,249° now

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.

+986°

Civitai downloads

1,673 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.

+315°

Likes

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

+82°

Adoption rate

About 11 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.

−134°

Age

−134° because the Anima 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 8,249°, 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.
1,673 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.
+986°
7,986°
running total
3
Add the likes.
124 likes and thumbs up, at half the weight of a download.
+315°
8,301°
running total
4
Add the adoption rate.
About 11 downloads a day right now, measured between two readings, at a quarter of the weight.
+82°
8,383°
running total
5
Take off the age.
The Anima weights came out in 2025: 150° a year, up to 750°, growing until then.
−134°
8,249°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
8,249°

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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