Model
.ai
tracking open ai models

SameFace Fix [Flux Lora]

8403°
SameFace Fix [Flux Lora]
Created by
VadimFedenko
on Civitai
"by VadimFedenko - Important This Lora should be used with a NEGATIVE weight. Also The model is aimed at diversifying the look of women only. I plan to do a separate model for men later and men with beards especially Also cool fact the size of the Lora is only 4mb it is limited to 2 blocks with a high rank So, What's a Sameface? It's a common problem in generative AI, in which the model generates people with identical appearances. Unlike with SD1.5/SDXL, this is not just a result of the diverse dataset converging into a single token like ""woman"". in Flux,"
Creator notes
Important: This Lora should be used with a NEGATIVE weight. Also: The model is aimed at diversifying the look of women only. I plan to do a separate model for men later (and men with beards especially) Also cool fact: the size of the Lora is only 4mb (it is limited to 2 blocks with a high rank) - So, What's a "Sameface"? It's a common problem in generative AI, in which the model generates people with identical appearances. Unlike with SD1.5/SDXL, this is not just a result of the diverse dataset converging into a single token like "woman". in Flux, Dev/Schnell were distilled from the Pro version, resulting in a loss of diversity. - Why use Negative weight? Lora was trained on the most generic photos of women that Flux generates. If you then apply this Lora with a NEGATIVE weight, it will work as a sort of negative prompt, but without negative prompt! By using this clever trick, Lora will basically tell Flux to generate anything except a typical Flux face. And as result, we'll get beautiful unique faces every time! - Why Lora and not tricks like lower Guidance? People want diverse faces with high guidance in order to maintain high prompt adherence and image quality, that's why interventions at the latent space level are optimal. - How does it differ from other character Loras? While other Loras introduce their own "samefaces", this Lora, only tells Flux what should NOT be in the generation, not what to add. As a result, this Lora diversifies people's appearance, rather than narrowing it even further. - How was the Lora actually made? At first I was disappointed because nothing worked out. I was about to give up this project, but then tried to train Lora with just 2 layers, and suddenly during testing, I was met with beautiful faces, and with authentic, distant from Flux, appearance. - What's next? I have a lot to experiment with. Different learning rates, layers and ranks have to be tested in order to improve quality. Merging different Lora variants might fix the problems with artifacts at higher values. I'll make sure to make a better version, If this Lora has enough interest I'm really forward to your feedback, as this model is highly experimental. Any feedback is appreciated and will hopefully help me to improve the model. special thanks to Ostris for
Trigger words
woman
17,504 downloads · 1,232 likes on Civitai
SHA256
5B7919B792DC536621D95D0F42F77D3D68789874F4D5926C42F7242C30F78E7C
SameFace Fix [Flux Lora] Popularity Trend
Heat score, last 12 months
Heat score
8,403°
This week
▲
0.3%
8,404° then, 8,403° now
This month
▲
1.4%
8,408° then, 8,403° now
Past year
▲
33.4%
8,426° then, 8,403° now
SameFace Fix [Flux Lora]: Heat score, last 12 months7,000°7,486°7,973°8,459°8,945°Oct 2025Jan 2026Mar 2026May 2026Aug 2026Oct 20268,403°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.
+1,273°
Civitai downloads
17,504 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.
+464°
Likes
1,232 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.
−334°
Age
−334° because the Flux weights came out in 2024. 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 8,403°, 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.
    17,504 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.
    +1,273°
    8,273°
    running total
  3. 3
    Add the likes.
    1,232 likes and thumbs up, at half the weight of a download.
    +464°
    8,737°
    running total
  4. 4
    Take off the age.
    The Flux weights came out in 2024: 150° a year, up to 750°, growing until then.
    −334°
    8,403°
    running total
  5. =
    The heat score.
    Where this model stands on every list of this site. Nothing else adjusts it.
    8,403°
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.
Settings
Sampler
Undefined
Steps
22
Guidance
3.5
Seed
4294967295
Size
832x1216
Clip skip
2
Weight used
-0.35
Prompt
(Candid photography:1.3), face and cleavage closeup from above, A beautiful supermarket, a blushed smiling brunette freckled Woman in high wooly stockings and very short skirt standing at a candy shelf on tiptoes, colorful knitted sweater, cleavage, looking up, messy hairbun, infront of the atmospheric led-adverstisment, crepuscular rays, volumetric lighting, ultra detailed, deep Blacks, very detailed, atmospheric haze, Film grain, cinematic film still, shallow depth of field, highly detailed, high budget, cinemascope, moody, epic, OverallDetail, 2000s vintage RAW photo, photorealistic, candid camera, color graded cinematic, eye catchlights, atmospheric lighting, imperfections, natural, shallow dof,undefined
Settings
Sampler
Undefined
Steps
21
Guidance
3
Seed
3560779263
Size
832x1216
Clip skip
2
Weight used
-0.9
Prompt
(Soft Lighting Photography by Mimoza Veliu and Mario Giacomelli:1.2), NSFW, surreal lucid erotic dream with strong memorable effect full of sexyness captured by lustful photographer, aesthetic_pose, magazine_cover, A hyper-realistic portrait of a young nordic woman with a pale complexion and delicate facial feature, Her eyes are almond-shaped, and have a striking light blue color with a slightly intense gaze,
Settings
Sampler
DPM++ 2M
Steps
50
Guidance
1
Seed
3504570443
Size
1392x1848
Prompt
In a captivating nighttime scene shot from side and slightly above, stylish latina woman with perfect features squats gracefully near back of a sideways-positioned tuned Toyota AE86 Sprinter Trueno, partially in the frame. Girl is resting her back on the car's side. The car's underbody lights illuminate the asphalt below, creating intricate, glowing patterns around its perimeter. She is adorned in an exquisite Playboy bunny outfit featuring a strapless black leotard, fake bunny ears, wrist cuffs, white pantyhose, high heels, and a detached collar with a bowtie. Her long, lush, wavy hair cascades like a waterfall, adding to her captivating presence. Depicted with accurate female anatomy, she exudes confidence and allure. The high-definition detail emphasizes the sleek lines of the car and the elegance of the woman, all bathed in the ethereal glow of the illuminated surroundings, creating a mesmerizing and enchanting atmosphere. <lora:Dever_Flux_Enhancer:0.5> <lora:Flux_spirals_of_light:0.8> <lora:sameface2:-0.35>
Settings
Sampler
Undefined
Steps
20
Guidance
3.5
Seed
3349949569
Size
832x1216
Clip skip
2
Weight used
-0.6
Prompt
photo of a female jedi master by famous photographer, rim light, great contrast, epic, masterpiece, highly detailed
Run Locally
SameFace_Fix.safetensors
4 MB · SafeTensor
Downloads are served by Civitai. Some creators ask for a Civitai login first.
Torrents
SameFace_Fix.safetensors
4.50 MB · v0.1 · 0 seeders ·
CivitasBay
Torrents are shared peer to peer by their seeders; ModelTrends.ai hosts no files. Open the magnet link with a BitTorrent client and compare the finished file's checksum with the one on the listing.