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Futanari Penis (Ideogram 4)

7691°
Futanari Penis (Ideogram 4)
Created by
Degenerator123
on Civitai
by Degenerator123 - Futanari Penis (Ideogram 4)
Creator notes
General futanari penis lora for Ideogram 4 - Works with both natural language prompting and with json format prompting with bboxes - Can do flaccid and erect from various angles except from behind and male pov - Works with various bodytypes and ethnicities - Works with pubic hair when prompted - Trained on/for futa but works for men too - Seems to mostly break the "safety" filter Important: the word "futanari" or "futa" was not used in my captioning, so the model doesn't understand this. Just use "woman" and "penis" in prompts. Room for improvement: - Doesn't always strictly follow erect/flaccid when using short prompts - Does not work properly for male POV (photo taken from man's point of view), it will often invert the penis at this angle. This angle was not included in the training data so this is expected, I may add it when making a new version - Let me know, feel free to share your results and feedback here Trained on a dataset of 400 images (60 real photos and 340 synthetic photorealistic images) with natural language captions, not json captions. Despite not using json bboxes in the captioning, the model seems to "understand" what a penis is with this lora, so you can use bboxes to indicate where the penis should be in the image, you can control size, direction etc with this. I didn't have much time yet to make creative complex json prompts but you can make some pretty interesting stuff with a high degree of control. For natural language prompting you can use a simple sentence or a detailed prompt, both should work. Prompting in other languages still works, English works best but you can try it out with your own native language. I'm still experimenting with workflows so I don't have a strong recommendation for lora strength, most of the example images were generated with the lora at strength 1 applied to both models (fp8_scaled), but it can work at slightly lower strengths too. I have not tested how it interacts with other loras and I have not tested how well it works on other quants of the model, only on fp8. Probably not the final version of this lora, you can follow my account to get notified when I upload a new version. Leave a like if you enjoy the lora :) Ko-fi:
Trigger words
penis
562 downloads · 56 likes on Civitai
SHA256
1F239FB838226AE983864187C4593F8B1A31459C435530ECD766A97ACD9FD7D4
Futanari Penis (Ideogram 4) Popularity Trend
Heat score since 14 Jun 2026
Heat score
7,691°
This week
n/a
Wasn't released/tracked
This month
n/a
Wasn't released/tracked
Past year
n/a
Wasn't released/tracked
Futanari Penis (Ideogram 4): Heat score since 14 Jun 20267,000°7,308°7,616°7,924°8,232°Jun 2026Jul 2026Aug 2026Aug 2026Sep 2026Oct 20267,691°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.
+831°
Civitai downloads
562 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.
+263°
Likes
56 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.
+6°
Adoption rate
About 0 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.
−409°
Age
−409° because the Ideogram 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 7,691°, 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.
    562 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.
    +831°
    7,831°
    running total
  3. 3
    Add the likes.
    56 likes and thumbs up, at half the weight of a download.
    +263°
    8,094°
    running total
  4. 4
    Add the adoption rate.
    About 0 downloads a day right now, measured between two readings, at a quarter of the weight.
    +6°
    8,100°
    running total
  5. 5
    Take off the age.
    The Ideogram weights came out in 2024: 150° a year, up to 750°, growing until then.
    −409°
    7,691°
    running total
  6. =
    The heat score.
    Where this model stands on every list of this site. Nothing else adjusts it.
    7,691°
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
Size
1072x1072
Prompt
"Ideogram-4 → Ideogram-Zero: the tool that generates blockages, not images."
Settings
Size
1152x832
Prompt
ideogram4
Negative prompt
-
Settings
Size
1024x1024
Prompt
ideogram4
Negative prompt
-
Settings
Size
896x1184
Prompt
ideogram4
Negative prompt
-
Settings
Size
896x1184
Prompt
ideogram4
Negative prompt
-
Settings
Size
848x1264
Prompt
ideogram4
Negative prompt
-
Settings
Size
1024x1024
Prompt
ideogram4
Negative prompt
-
Settings
Size
1024x1024
Prompt
ideogram4
Negative prompt
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Run Locally
Ideogram4_Futanari_Penis_(Degenerator123).safetensors
202 MB · SafeTensor
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