Wan Cumshot Wan2.1 I2V v1.0
8843°
<cumshot-wan21>
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by dtwr434 - Wan Cumshot
Creator notes
Wan 2.2 (T2V only): Download both the highnoise and lownoise loras, and plug them both into your workflow. The "training images" download contains the example I used for the previews. I did not use any speed loras, as there aren't any made for Wan 2.2 yet. You can plug the lightx2v lora in, but it may cause a limitation on 2.2's full potential.
Wan 2.1:
I2V:
This was trained specifically for I2V, including some where the man is not in frame. This should allow you to have the origin be out of frame, or have the man walk into the frame when he did not start there.
I've included the workflow I used for the preview images in the "Training Images" download.
T2V:
Most of the previews were created with strength 1, a couple were 0.7, and that might look better. Not sure what the ideal strength is.
Various phrases you can try:
{is kneeling in front of a man|is lying on her back in front of a man}
(Mix and match as desired):
Cum shoots out of the man's penis and lands {on her face|in her hair|in her mouth|on her tongue|on her chest|on her pussy|on her eye}
The man is stroking his penis back and forth with his hand
kneeling in front of a man and stroking his penis back and forth with both hands
The view is from {above|the side|POV from above}.
Her mouth is {open|closed|open with her tongue sticking out}
Her eyes are {open|closed}
The woman flinches and moves away quickly in surprise
multiple people. Two nude women are kneeling in front of a man
I2V phrases:
Cum shoots from off screen
A man enters the frame from the side
SHA256
9E4269BA02BDCEB0DC0F0F3F35EB84DB6892B964FD453F370517C05340B34429
Wan Cumshot Wan2.1 I2V v1.0 Popularity Trend
Heat score, last 12 months
Heat score
8,843°
This week
▼
0.5%
8,846° then, 8,843° now
This month
▼
2.1%
8,854° then, 8,843° now
Past year
▼
23.7%
8,976° then, 8,843° 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.
+1,377°
Civitai downloads
62,338 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.
+87°
Torrent seeders
4 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.
+559°
Likes
5,291 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.
+78°
Adoption rate
About 10 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 8,843°, 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.
- 1Start 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
- 2Add the downloads.66,338 download-equivalents in all, from Civitai downloads, Torrent seeders. Ten times the downloads adds the same 300°, so size matters but never runs away with the score.+1,377° Civitai downloads+87° Torrent seeders+1,464°8,464°running total
- 3Add the likes.5,291 likes and thumbs up, at half the weight of a download.+559°9,023°running total
- 4Add the adoption rate.About 10 downloads a day right now, measured between two readings, at a quarter of the weight.+78°9,101°running total
- 5Take off the age.The Wan weights came out in 2025: 150° a year, up to 750°, growing until then.−258°8,843°running total
- =The heat score.Where this model stands on every list of this site. Nothing else adjusts it.8,843°
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
UniPC
Steps
40
Guidance
5
Size
1920x3328
Prompt
一个美丽的女人仰面躺着，没有注意到他那不时有节奏跳动的巨大鸡巴射精了，大量白色的精液从他粗长的鸡巴顶端射出，液体打在她的身上、乳房上和脸上，粘稠的白色液体随着他的鸡巴在她身上的每一次跳动而汇集、 大量浓稠的白色半透明精液流满了她的全身，他的鸡巴每跳动一下，就有更多的精液汇集到她的脸上，她惊讶极了，她随着每一次射精的跳动而闪动、扭动，她的乳房疯狂地弹跳着，乳房抖动着，流畅地移动着镜头，她是美丽的、热情的、轻蔑的、快乐的、接受的。
Negative prompt
像素化、压缩、人工痕迹、不真实、光线变化、阴影、色彩变化、曝光过度、静态、静止、无运动、模糊、质量最差、质量差、模糊、能见度低、不自然、灰色、色彩平淡、对比度低、质量差、丑陋、扭曲、毁容、肢体分离、突然、不自然、 慢动作、男性焦点、假阳具、多余的手、多余的肢体、额外的肢体、语言、雾、语音、不饱和色彩、闭眼、长舌、不饱和色彩、大舌头、额外的肢体、额外的孔、语言、雾、语音、不饱和色彩、不聚焦的眼睛、动态模糊、不聚焦、细节缺失、牙齿
Settings
Size
736x544
Prompt
A woman is smiling and reading a book on the couch. Cum shoots from off screen and lands on her face and on her eye and on her hair. Her expression quickly changes as she looks shocked and turns toward the source of the cum looking very angry. A man's penis and hand partially enter the frame from the side and you can see him stroking his penis back and forth with his hand.
No prompt was shared with this render.
Settings
Size
960x1664
Prompt
multiple prompts
Settings
Size
600x720
Prompt
nsfwsks, POV missionary, her breasts are bouncing,
Settings
Sampler
UniPC
Steps
40
Guidance
5
Size
1920x3328
Prompt
bl0wj0b, blowjob, deepthroat, facefuck, nsfwsks, A pretty blonde anime girl is giving a man a blowjob, her breasts bouncing up and down violently.
She takes the man's cock all the way into her mouth and then starts bobbing her head up and down rapidly. She sucks, blows, and deep throats the cock deep into her mouth. Quick full penetration, man sucking woman's cock, fast action, blonde perfect deep throat blowjob, she bobbed her head up and down several times, taking man's whole cock in her mouth, her lips wrapped tightly around man's cock, real throat action, smooth action, perfect lips, quick shot, she's enthusiastic and happy to take it, real, perfect action, high quality, HDR, huge beautiful cock, she kisses his her lips are wrapped tightly around the root of his penis, her face is pressed against the skin of his abdomen, she is looking at the viewer, her eyes are open and her body is in a state of shock.
Negative prompt
Pixelation, compression, artifacts, unrealistic, light changes, shadows, color changes, overexposure, static, still, no movement, blur, worst quality, poor quality, fuzzy, low visibility, unnatural, grey, flat colors, low contrast, poor quality, ugly, distorted, disfigured, dismembered, disjointed limbs, awkward, unnatural, slow-motion, male focal point, dildo, extra hands, extra limbs, extra holes, language, fog, speech, unsaturated colors, closed eyes, big tongue, long tongue, motion blur, change chest size, change body part size, change body part size, language blur.
limbs, extra holes, language, fog, speech, unsaturated colors, closed eyes, large tongue, long tongue, motion blur, change chest size, change body part size
Male body in frame, Male body parts
No prompt was shared with this render.
No prompt was shared with this render.
Run Locally
How to install
How to install a LoRA: folders, file checks and first use in ComfyUI, Forge, Automatic1111 and Draw Things
Sep 24, 2025
wan_cumshot_i2v.safetensors
wan_i2v_cumshot_workflow.zip
Downloads are served by Civitai. Some creators ask for a Civitai login first.
Torrents
wan_i2v_cumshot_workflow.zip
wan_cumshot_i2v.safetensors
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.
Wan Cumshot Wan2.1 I2V v1.0 is a LoRA for the Wan family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Wan models, check its heat score to see how it is trending, and open it on PirateDiffusion or BitVector to try it.
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