MajicMIX realistic 麦橘写实

9299°

#asian #realistic #base #photoralistic #base model

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Created by

Merjic

on Civitai

majicMIX realistic 麦橘写实 model by Merjic

Creator notes

V7 is here. So far so good for me. ASIAN ALERT! 推荐参数 Recommended Parameters for V7: Sampler: Euler a, Euler, restart Steps: 20~40 Hires upscaler: ESRGAN 4x or 4x-UltraSharp or 8x_NMKD-Superscale_150000_G Hires upscale: 2+ Hires steps: 15+ Hires denoising strength: 0.05~0.5 clip skip 2 如果要修复脸部，请使用after detailer. If your face comes out badly, use after detailer instead of face restoration. 我习惯开启Dynamic Thresholding来更好控制cfg值，1~20都可以尝试一下。 Use Dynmaic Thresholding to control CFG. You can try from 1~20. 如果要添加滤镜效果、噪点，请使用BMAB. If you want to add noise like me, use BMAB. v2.5 is here. Note that this is not v7, but an upgrade for v2. V7 may need to address more issues, which I am still trying to do. In the process, I have created a model worth sharing. This model can restore the light and shadow of the original majicmix v2, but with increased realism while still keeping the basic aesthetic of the face. I have tested other face loras and they work fine. Please use adetailer and put the face lora in it. 请注意，这不是v7，而是对v2的修缮。v7可能需要突破更多问题，这个目前我还在尝试。在这个过程中我融合出一个模型，我认为也值得分享。本模型可以还原初代majicmix的光影，但是增加写实度，脸部还是保持基本调性的审美，我测试了其他脸部lora都没问题。请使用adetailer然后把脸部lora放在里面使用。 v5对我来说不够好，对你们来说也是的，而且不够写实。所以v6很迫切需要。用Euler画特写，用euler a 画其他的。不要！不要！不要开脸部修复！用adetailer来修脸。我的例图都用了。 v6 is here. v5 is not good as I played for a while and see the results from yours. Therefore a v6 is urgent. Use Euler for close up, and Euler a for others. Again, don't use facial restoration, use After detailer instead! All my samples used adetailer without lora. 第五版先行版来了，先把赛博永生小姐姐娜乌斯嘉融进来做个例子，也算是公测吧。 5th edtion is coming soon. I've posted a preview version with the face of nwsj. 推荐使用Euler作为采样器。 Use Euler as sampler. 听我一句劝，不要开脸部修复！ Please don't use Face Restoration! 如果要修复脸部，请使用after detailer. If your face comes out badly, use after detailer instead. 我习惯开启Dynamic Thresholding来更好控制cfg值，1~20都可以尝试一下。 Use Dynmaic Thresholding to control CFG. You can try from 1~20. 很抱歉在之前的例图中我使用了分层的lora让大家困惑，也让大家复刻我的例图变得困难。所以新一版的例图我没有使用任何lora。想了解lora分层的可以参考： I apologize for using lora block weight in the example images of the previous edition, which confused most of you and made it difficult for you to replicate my examples. Therefore, in the newer editions, I did not use any lora in my showcase. If you would like to learn about lora block weight, please refer to: 融合了多种模型，可以生成好看的脸部，也能有效应对暗部处理。远距离脸部需要inpaint以达成最好效果。也可以使用after detailer. A good looking model, suitable for NSFW and dark scene (because I added noiseoffset). long-range facial detail require inpainting to achieve the best results. You can also use after detailer. 推荐关键词 recommended positive prompts: Best quality, masterpiece, ultra high res, (photorealistic:1.4), 1girl 如果想要更暗的图像 if you want darker picture, add: in the dark, deep shadow, low key, etc. 负面关键词 use and in negative prompt I've used a bug-fixed version of DPM++ 2M Karras, you can check this out: 推荐参数Recommended Parameters: Sampler: Euler a, Euler, DPM++ 2M Karras (bug-fixed) or DPM++ SDE Karras Steps: 20~40 Hires upscaler: R-ESRGAN 4x+ or 4x-UltraSharp Hires upscale: 2 Hires steps: 15 Denoising strength: 0.2~0.5 CFG scale: 6-8 clip skip 2 basic formula: + + 关注我的TG频道看更多例图：

643,053 downloads · 17,788 likes on Civitai

SHA256

7C819B6D13663ED720C2254F4FE18373107DFEF2448D337913C8FC545640881E

majicMIX realistic 麦橘写实 Popularity Trend

Heat score, last 12 months

Heat score

9,299°

This week

▼

0.4%

9,301° then, 9,299° now

This month

▼

1.8%

9,309° then, 9,299° now

Past year

▼

21.4%

9,426° then, 9,299° 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.

+588°

Civitai downloads

643,053 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.

+10°

Torrent seeders

11 people keep serving the weights over torrents or hosted mirrors. Serving a file costs real bandwidth and says the weights are still wanted, so each seeder counts as 1,000 downloads in the download term.

+957°

AI Horde images

1,040,222 images the volunteer AI Horde has generated with this model. Each image counts as one download in the download term: usage weighs like a download.

+345°

Generation sites

376,994 downloads and generation runs of this model's copies on PixAI, Yodayo. Each run counts as one download, and their downloads count like Civitai's; all of it shares the download term.

+652°

Likes

22,123 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.

+206°

Adoption rate

About 553 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.

+150°

Full model

+150° because this is a full model: a checkpoint, the weights themselves. A LoRA or an embedding is an add-on to someone else's weights and does not outrank a checkpoint of equal popularity.

−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 9,299°, 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.
2,071,269 download-equivalents in all, from Civitai downloads, Torrent seeders, AI Horde images, Generation sites. Ten times the downloads adds the same 300°, so size matters but never runs away with the score.
+588° Civitai downloads
+10° Torrent seeders
+957° AI Horde images
+345° Generation sites
+1,900°
8,900°
running total
3
Add the likes.
22,123 likes and thumbs up, at half the weight of a download.
+652°
9,552°
running total
4
Add the adoption rate.
About 553 downloads a day right now, measured between two readings, at a quarter of the weight.
+206°
9,758°
running total
5
Bonus for a full model.
A checkpoint carries the weights themselves; add-ons do not outrank one of equal popularity.
+150°
9,908°
running total
6
Take off the age.
The SD15 weights came out in 2022: 150° a year, up to 750°, growing until then.
−609°
9,299°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
9,299°

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

NSFW

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