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tracking open ai models

Finger Count Slider SD15 (Increase/Decrease Finger Number)

NSFW model. Its pictures are hidden while NSFW is off; turn NSFW on to see them.
Created by
NextMeal
on Civitai
Finger Count by NextMeal doesn't allow you to specify the correct number of fingers. Instead, it takes a novel approach of adding or subtracting the total number of fingers based on the lora weight. Increase the weight to add fingers, lower it to reduce fingers... until it's just right. You can use this in Inpainting, too!
Creator notes
Finger Count for SD15 Ithis is not a typical LoRA you use with weight = 1. Not a hand autofixer, it is designed for only adding/decreasing finger number, it will not fix hands when they are already deformed. It will also NOT make hands more deformed (unless that's how the checkpoint model intreprets it.) A Game Changer is here! Start a new era of no more missing fingers and extra fingers!!!💪 💪 💪 ...but you can still get deformed fingers and it does not guarantie to fix all your problems Suggested Weight: -5 ~ +5 (or higher. normally it should be 3-7 fingers per hand) and adjust the strength according to your negative prompts as some embeddings are made to limit growth/decrease of fingers. You can use them, but LoRA weight will need to be higher to see a difference. We all know hand is a difficult issue in SD. If you like this tool and want to see more of them, please follow me and leave a positive review. Thanks😘 This has been trained on only 14 images. if there're enough feedbacks, I will expand my dataset and update a V2. Sample images were generated without negative prompts, blurry effect is inherent in the checkpoint model, not the effect brought by this lora. You should be able to generate better results with negative prompts. How to use? Positive: More fingers Negative: Less fingers When you have an almost-perfect image but the finger number is just wrong. missing fingers -> Use positve weight until it gets to the right number. extra fingers -> Use negative weight until it gets to the right number. Extra tip: Would be better to use only OUTALL blocks. Like what I'm up to? Feel free to treat me a . Cheers! As my user name suggests, I am trying to find my NextMeal. so I put a revised version(only relevant layers activated) on for supporters and it has been adjusted for more stable compositions. It has been months with negative balance for me, because I've been struggling a lot to find a full-time job as a foreigner and I am living abroad with my partner. Your donation would really greatly help me out with my life. I am also open to commissions if you have some custom requests that I can help with, you can just leave your comments on this page or on Kofi.
4,414 downloads · 517 likes on Civitai
SHA256
4BFC1C835F765269E8D25F67D128B31781F2340B90063231753DFC4B635F5036
Finger Count Slider SD15 (Increase/Decrease Finger Number) Popularity Trend
Heat score, last 12 months
Heat score
7,892°
This week
▬
0.0%
7,893° then, 7,892° now
This month
▲
0.1%
7,898° then, 7,892° now
Past year
▲
3.2%
7,965° then, 7,892° now
Finger Count Slider SD15 (Increase/Decrease Fin…: Heat score, last 12 months7,000°7,420°7,841°8,261°8,681°Oct 2025Jan 2026Mar 2026May 2026Aug 2026Oct 20267,892°ModelTrends.ai
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.
+1,094°
Civitai downloads
4,414 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.
+407°
Likes
517 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 7,892°, 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. 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. 2
    Add the downloads.
    4,414 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.
    +1,094°
    8,094°
    running total
  3. 3
    Add the likes.
    517 likes and thumbs up, at half the weight of a download.
    +407°
    8,501°
    running total
  4. 4
    Take off the age.
    The SD15 weights came out in 2022: 150° a year, up to 750°, growing until then.
    −609°
    7,892°
    running total
  5. =
    The heat score.
    Where this model stands on every list of this site. Nothing else adjusts it.
    7,892°
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.
Example render 1
NSFW render, blurred. Turn NSFW on to see it.
Example render 2
NSFW render, blurred. Turn NSFW on to see it.
Example render 3
NSFW render, blurred. Turn NSFW on to see it.
Example render 4
NSFW render, blurred. Turn NSFW on to see it.
Settings
Sampler
DPM++ 2M Karras
Steps
25
Guidance
7
Seed
2738108533
Size
656x960
Prompt
1girl, solo, cowboy shot, <lora:ELSA.ORANGE.89:0.7> lora as Epoch Elf, blonde hair, blue eyes, elf ears, huge breasts, grin:1.2, at Winter wonderland, magical, mysterious, cute, lovely, breathtaking, <lora:ChristmasWintery:0.5> christmaswintery <lora:holiday_outfit_1_sd1.5:0.8> wearing holiday outfit, turtleneck, knitted clothes, pants, (elf hat, grin:1.2 <lora:Chr457m45m3rg3D0nMN3M1C:0.7> chr457m45m3rg3d0nmn3m1c, neon lights, neon glow, beautiful hands, detailed fingers, (frontal view, looking at viewer) <lora:fingers4civitai:0.8>
Negative prompt
young, teen, immature, minor, navel, midriff, sexy, (((close up))), (((nsfw, naked, nudity))), bad teeth, (((extra fingers, mutated hands, poorly drawn hands, distorted fingers, bad fingers))), (fused fingers), (too many fingers), (((watermark, text, logo))), ((monochrome)), ((b&w)), bad-picture-chill-75v,
Settings
Sampler
DDIM
Steps
30
Guidance
7
Seed
25509095
Size
512x512
Prompt
an white man screaming, showing his hands to the camera, pov hands <lora:finger_count_v10:7>, in a room
Settings
Sampler
DDIM
Steps
30
Guidance
7
Seed
1044440287
Size
512x512
Prompt
an white woman screaming, showing her hands <lora:finger_count_v10:5>, nature
Settings
Sampler
DPM++ 2M
Steps
30
Guidance
7
Size
768x1152
Clip skip
2
Weight used
5
Prompt
a handsome 25-year-old male model in profile with wavy dark-brown hair, dark-blue eyes, only dressed in a semi-transparent fabric swirling around his defined torso. The fabric floats in the air as if rustling in the wind. He is resting one knee against rock formation floor, with one arm resting against the other leg and the fist resting against his forehead. Direct gaze at viewer. The lighting appears to be soft and diffused, slightly hazy day. medium shot, framing the man from the groin up. Shot with a 85mm lens at f/1.8, shallow depth of field, intricate detail, volumetric light. Sunlight. Blue sky from open cave roof as background. Intricate scene, sharpen, Extreme details, best quality, (((32k HD, high acutance:1.5))), highly detailed, macro photography, skin texture, DSLR super resolution, professional, (high resolution, masterpiece: 1.2), (realistic, photorealistic, photo-realistic: 3), golden ratio, (high detailed skin:2), DSLR-quality photo
Negative prompt
PA7_AnatoNeg, PA7_UnRealistic-Neg_v2, women, ugly, text, watermark, blurry, distorted, out of focus, bad anatomy, 6 fingers, UnrealisticDream, bad hands, cross eyed
Run Locally
fingers4civitai.safetensors
26 MB · SafeTensor
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