Blowbang I2V v2.0 LN

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3,842 downloads · 89 likes on Civitai

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Created by

qdr1en

on Civitai

By qdr1en - I2V Double handjob blowbang for Wan 2.2 (Low Version)

Creator notes

A double handjob blowbang. Include the keyword bl0wb4ng in your prompt and wan will handle the rest. v2 I removed the most messy cuts from the dataset, then re-captioned and re-trained it. 🟢Much more stable 🟢More controllable (see below) 🟢Better compatibility with other LoRAs 🟢No more men grabbing each other's winner in the background lol Prompting Typical prompt bl0wb4ng, one woman and {two|three|four|five|six} men, {blowjob|handjob|switching}, {static|dynamic} shot, ... Example Unused words can be added in the Negative prompt to increase adherence. Positive: bl0wb4ng, one woman and two men, handjob, ... Negative: three men, four men, five men, six men, blowjob, switching, ... Usage Tips - If you don't know where to start, the first showcased video contains an easily reproducible workflow, with as few custom nodes as possible. Just download the video from its dedicated page, then drag-and-drop it into the ComfyUI canvas to display the workflow. - The dataset is distributed around four men, with two and six being the least represented number of people. Wan will usually draw them with a precision of +/- 1 person, it's not 100% reliable. - It can draw a progressive transition instead of a cut, by setting the strength of the high-noise lora to ~0.5-0.65 and adapting the prompt accordingly (setting the number of men to two seems to work best). - This is what the action words imply: - handjob: double handjob - blowjob: double handjob + blowjob - switching: double handjob + blowjob + changes Training - v1.0: 67.5 epochs, 72 5-seconds clips (4860 steps). - v1.1: 80.0 epochs, 72 5-seconds clips (5760 steps). - v2.0: 75.0 epochs, 56 5-seconds clips (4200 steps).

Trigger words

bl0wb4ng

SHA256

A307045CF81C2AA4227AEC087B469D9E35A0B668E5F7CD90BC77A0BE44B2A464

Blowbang I2V v2.0 LN Popularity Trend

Heat score since 12 Jul 2026

Heat score

8,192°

This week

▲

0.5%

8,192° then, 8,192° now

This month

▲

3.0%

8,193° then, 8,192° now

Past year

n/a

Wasn't released/tracked

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

3,842 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.

+293°

Likes

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

+63°

Adoption rate

About 6 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 8,192°, 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.
3,842 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
Add the likes.
89 likes and thumbs up, at half the weight of a download.
+293°
8,387°
running total
4
Add the adoption rate.
About 6 downloads a day right now, measured between two readings, at a quarter of the weight.
+63°
8,450°
running total
5
Take off the age.
The Wan weights came out in 2025: 150° a year, up to 750°, growing until then.
−258°
8,192°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
8,192°

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.

Get this prompt

Render by ShortLove on Civitai

Settings

Size

1920x1080

Prompt

a woman is kneeling in front of five meny, The woman strokes her hands up and down his penises. Her hands moves quickly, all men stroke their own penis. men's erect penis shooting monstrous amounts of cum into woman's tongue. the separate cum shots spurt with very fast rhythm from every penis. countless thick slimy cum shots erupt. every cum shot sticks slimily to her face. her whole face gets buried in sticky cum.camera crash zoom on her face covered of cum,the woman open her eyes and look up at the viewer and smile.

Settings

Size

640x880

Prompt

"SmoothMixRealism. bl0wb4ng. A futanari woman is sitting with her penis exposed. Two naked women with large breasts appear around her with their penises exposed. They are stroking their penises with their hands. The woman is stroking her penis with her hand. They ejaculate and cum shoots from their penises. Cum lands on her hair, face, eyes, and breasts.";

Settings

Size

640x960

Prompt

Settings

Size

640x960

Prompt

Render by qdr1en on Civitai

Settings

Size

640x960

Prompt

Settings

Sampler

Euler

Steps

Guidance

Seed

1007

Size

640x960

Prompt

fictional fancy bl0wb4ng, one woman and four men, handjob, the indian goddess Shiva with four extra arms, she grabs all the cocks with her multiple hands, each hand grabbed a penis. Imaginary hentai, very dreamy, marvelous, fabulous. wide angle shot, very strange.

Negative prompt

missing arms, only two arms, reality, human, normal, realistic, restricted, censored, slowly, tired, lazy, shy, wet, blowjob, switching, five men, six men, missing limbs, tatoos, tatouages

Settings

Size

640x960

Prompt

"SmoothMixRealism. bl0wb4ng. The scene changes. A man is holding her head with both hands, he is quickly moving his hips back and forth and thrusting his penis into woman's mouth. He is violently slamming his hips into her face. ";