Model
.ai
tracking open ai models

Tongue out_V2_wan22_5b

7870°
Tongue out_V2_wan22_5b
Created by
JoseGomezFreelance
on Civitai
by JoseGomezFreelance - tongue out_V2_wan22_5b
Creator notes
V2 This is a complete revision of the original dataset, now composed entirely of custom-made material created specifically for this Lora, using real, live models (with very little synthetic material, less than 10%). In this regard, the first thing to do is to give credit to those models who chose to participate, for their time and creativity, which they generously contributed, for a fee, to make this LoRa dataset a reality: Alejandra Angybel M Geor Hernandez Valeria Perez Whitney M And so many other models, without whose participation this wouldn't have been possible. Thank you! Beyond this, some technical aspects: In short: it produces a more natural, less powerful effect, and groups are a bit more difficult to work with. We have extra smiles, better teeth, and maybe even better eyes, like a positive bleed. This V2 version also offers more variety in different body types (the 'supermodel' effect is controlled) and generally provides a greater degree of realism. It's also better at working with men, I don't know why, and, yes, let's talk about things that could be improved:  There's a certain Caribbean bleed and, above all, an excess of tanning in the skin. Also, there's some awkward hand movements that sometimes occur, which didn't happen before. Beyond that, the drawing and anime capabilities have been reduced. But hey, nothing that can't be fixed for a V3! Have fun! (And if you want to check out these 21st-century-minded models' Fiverr profiles, even better!) ——— Esta es una revision completa del dataset original, con la novedad de que ahora mismo está íntegramente compuesto con material personalizado creado a medida para este lora trabajando con el arte de modelos reales, de carne y hueso, (con muy poco material sintético, menos del 10%). En este sentido lo primero es dar crédito a aquellas modelos, que así lo han decidido, por su tiempo y por la creatividad que han cedido, de manera remunerada, para que el dataset de este LoRa sea realidad: Alejandra Angybel M Geor Hernandez Valeria Perez Whitney M Y otras tantas modelos, que sin su participación esto no podría haber sido posible, ¡Gracias! Más allá de esto, cuestiones técnicas: En una línea: da un efecto más natural, menos potente y le cuestan un poco más los grupos. Tenemos un extra de sonrisas, mejores dientes y quizá mejores ojos como un sangrado positivo. Luego también esta versión V2 ofrece más variabilidad de diferentes tipos de cuerpos (se controla el efecto ‘super modelo’) y en general aporta un grado de realismo mayor. También es capaz de trabajar mejor con hombres, no sé por qué, y, eso sí, vamos con las cosas a mejorar: Se sangra cierto estilo caribeño y, sobre todo, un exceso de moreno en la piel. Y por otro lado hay cierto juego de manos feas que ocurre a veces y antes no ocurría. Más allá de esto, las capacidades con dibujo y anime han quedado reducidas. Pero bueno, ¡nada que no se pueda intentar arreglar para una V3! ¡A pasarlo bien! (Y si queréis pasaros por el Fiverr de estas modelos con visión para el siglo XXI, mejor que mejor!) V1 A friend challenged me to make a LoRa of Wan 2.2 5B, without me having ever done one, in less than 24 hours. I raised the bet that I would have it in less than 12. The result? I present to you my first LoRa, absolutely experimental xD And, as the name suggests, it will get the subject of your image tongue out in a mocking way. Have a good time! Un amigo me retó a hacer un LoRa de Wan 2.2 5B, sin yo haber hecho nunca uno en menos de 24h. Yo subí la apuesta a que lo tendría en menos de 12. ¿El resultado? Os presento mi primer LoRa, absolutamente experimental xD Y, como el nombre indica, conseguirá que el sujeto de vuestra imagen saque la lengua de manera burlona. ¡A pasarlo bien!
Trigger words
tongue out
660 downloads · 44 likes on Civitai
SHA256
64A697C07647E33403DFCA205DAA0F3DA99139C25B8BDEDCA3DAEB5930E66B2D
Ranking badge
Updated Oct 22, 2026
tongue out_V2_wan22_5b on ModelTrends.ai: #74 Hottest Wan LoRA
Made this model? Show this badge on your page.
Paste it into your Hugging Face card or Civitai description.
Also ranked: #83 Hottest Wan model
Not this creator?
tongue out_V2_wan22_5b Popularity Trend
Heat score since 13 Nov 2025
Heat score
7,870°
This week
n/a
Wasn't released/tracked
This month
n/a
Wasn't released/tracked
Past year
n/a
Wasn't released/tracked
tongue out_V2_wan22_5b: Heat score since 13 Nov 20257,000°7,316°7,632°7,948°8,263°Nov 2025Jan 2026Apr 2026Jun 2026Aug 2026Oct 20267,870°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.
+857°
Civitai downloads
660 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.
+248°
Likes
44 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.
+23°
Adoption rate
About 1 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.
−258°
Age
−258° because the Wan 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 7,870°, 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.
    660 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.
    +857°
    7,857°
    running total
  3. 3
    Add the likes.
    44 likes and thumbs up, at half the weight of a download.
    +248°
    8,105°
    running total
  4. 4
    Add the adoption rate.
    About 1 downloads a day right now, measured between two readings, at a quarter of the weight.
    +23°
    8,128°
    running total
  5. 5
    Take off the age.
    The Wan weights came out in 2025: 150° a year, up to 750°, growing until then.
    −258°
    7,870°
    running total
  6. =
    The heat score.
    Where this model stands on every list of this site. Nothing else adjusts it.
    7,870°
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.
Render by JoseGomezFreelance on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
704x1280
Prompt
, tongue out
Settings
Size
704x1280
Prompt
, tongue out
Render by JoseGomezFreelance on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
832x832
Prompt
Closeup horse head, tongue out
Render by JoseGomezFreelance on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
704x1280
Prompt
A portrait of a mona lisa, painted by leonardo da vinci, with a contemplative expression, tongue out
Settings
Size
832x832
Prompt
, tongue out
No prompt was shared with this render.
Settings
Size
704x1280
Prompt
, tongue out
Render by JoseGomezFreelance on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
704x1280
Prompt
Three girls posing for a photo at a concert, smiling at the camera, tongue out
Run Locally
tongue_out_V2_wan22_5b.safetensors
154 MB · SafeTensor
Downloads are served by Civitai. Some creators ask for a Civitai login first.