Advanced Enhancer LoRA

7978°

#effects #lighting #realistic #photography #graphic-design #positives

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Created by

xebemacozydyqy

on Civitai

Advanced Enhancer LoRa by Z_phyr Truly a Swiss army knife. It removes unnecessary detail, adds the necessary one, works three times harder with the texture of skin, eyes and hair, if a portrait is generated. Correct overlay of light and shadow, reflections and glares on surfaces. Perspective correction. The algorithm of pyramid noise offset, working in both directions at the same time, allows to achieve a tonal range as close as possible to real photographs. LoRA knows many names of photo equipment and types of lighting, so feel free to use professional terms of photographers and…Advanced Enhancer LoRa by Z_phyr Truly a Swiss army knife. It removes unnecessary detail, adds the necessary one, works three times harder with the texture of skin, eyes and hair, if a portrait is generated. Correct overlay of light and shadow, reflections and glares on surfaces. Perspective correction. The algorithm of pyramid noise offset, working in both directions at the same time, allows to achieve a tonal range as close as possible to real photographs. LoRA knows many names of photo equipment and types of lighting, so feel free to use professional terms of photographers and videographers in prompts. It is recommended to use the weight up to 2 inclusive. If you think that the level of detail or noise offset is still insufficient, then use it together with other LoRA that solve these problems ( because increasing the weight more than 2 can lead to unexpected results ).

Creator notes

Truly a Swiss army knife. It removes unnecessary detail, adds the necessary one, works three times harder with the texture of skin, eyes and hair, if a portrait is generated. Correct overlay of light and shadow, reflections and glares on surfaces. Perspective correction. The algorithm of pyramid noise offset, working in both directions at the same time, allows to achieve a tonal range as close as possible to real photographs. LoRA knows many names of photo equipment and types of lighting, so feel free to use professional terms of photographers and videographers in prompts. It is recommended to use the weight up to 2 inclusive. If you think that the level of detail or noise offset is still insufficient, then use it together with other LoRA that solve these problems (because increasing the weight more than 2 can lead to unexpected results). 真正的瑞士军刀。它去除不必要的细节，增加必要的细节，如果生成的是肖像，它会对皮肤、眼睛和头发的纹理工作得更努力。正确地在表面上叠加光影、反射和眩光。透视校正。金字塔噪声偏移算法，同时在两个方向上工作，可以实现与真实照片尽可能接近的色调范围。 LoRA知道很多照相设备和照明类型的名称，所以请随意使用摄影师和摄像师的专业术语来提示。建议使用2以下的重量。如果您认为细节水平或噪声偏移仍然不够，那么请与其他解决这些问题的LoRA一起使用（因为将重量提高到2以上可能会导致意想不到的结果）。 Поистине швейцарский нож. Убирает лишнюю детализацию, добавляет нужную, работает в три раза усерднее с текстурой кожи, глаз и волос, если генерируется портрет. Правильное наложение светотеней, отражений и бликов на поверхностях. Исправление перспективы. Алгоритм пирамидального смещения шума, работающий одновременно в обе стороны, позволяет добиться максимально приближённого к реальным фотографиям тонального диапазона. Лора знает множество названий фототехники и типов освещения, так что не стесняйтесь использовать профессиональные термины фотографов и видеографов в промптах. Рекомендуется использовать силу до 2 включительно. Если вы считаете, что уровень детализации или смещения шума всё ещё недостаточен, то используйте её совместно с другими лорами, решающими эти проблемы (потому что повышение силы больше 2 может привести к неожиданным результатам).

Trigger words

film

analog film

sunset

hard light

soft light

dramatic lighting

neon lights

red light

blue light

green light

purple light

agfa ultra

8,035 downloads · 589 likes on Civitai

SHA256

DEEFBFAF294F2494C19E41ED70E8DF00F3F4BA7884B52BE02CA74B53BFC590A0

Advanced Enhancer LoRA Popularity Trend

Heat score, last 12 months

Heat score

7,978°

This week

▬

0.0%

7,980° then, 7,978° now

This month

▼

0.1%

7,985° then, 7,978° now

Past year

▲

0.3%

8,057° then, 7,978° 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.

+1,171°

Civitai downloads

8,035 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.

+416°

Likes

589 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 7,978°, 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.
8,035 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.
+1,171°
8,171°
running total
3
Add the likes.
589 likes and thumbs up, at half the weight of a download.
+416°
8,587°
running total
4
Take off the age.
The SD15 weights came out in 2022: 150° a year, up to 750°, growing until then.
−609°
7,978°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
7,978°

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.

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