Chroma GOONTUNE

8251°

#realistic #feet #sex #hardcore #photorealism #anatomy

NSFW

NSFW model. Its pictures are hidden while NSFW is off; turn NSFW on to see them.

Run this model

Offers / Ads

Easy Creator (Prism) Web

Unlimited · flat fee

Best for beginners. Describe what you want in a chat and the picture comes back, no learning curve.

PirateDiffusion Telegram

Unlimited · flat fee

Images and video from a chat, with short commands. The most convenient tool for Telegram users, with a web companion.

Pro studio (SpyGlass) Web

Unlimited · flat fee

Best for power users. Full control over models, settings and workflows in a browser studio.

Discord bot (Vector)

Unlimited · flat fee

Best for communities. Add it to your own server and run any workflow from a channel.

Unified Editor Web

Unlimited · flat fee

One screen for every model and workflow: prompts, references, edits and video, built into your Graydient account.

Civitai Web

Pay per use

Generate on Civitai's own site; every image is paid for with Buzz credits.

Local apps

Requires setup

Set up local programs if your computer has capable hardware.

ModelDuel Web

Pay per use

Generate the same prompt on up to 50 checkpoint/base models at a time.

Rent a GPU on the cloud

Graydient Cloud GPU

Unlimited · flat fee

Flat fee, unlimited use. This model installs with one click.

RunPod Cloud GPU

Charged by the minute

Rent a GPU by the minute and set the model up yourself.

Created by

xG00N3Rx

on Civitai

by xG00N3Rx - Chroma GOONTUNE V0.91 2K-QC Experimental

Creator notes

WELCOME TO THE CHROMA GOONTUNE! HUGE THANKS TO MACHINEMINDED FOR MAKING ONE OF THE BEST AND MOST STRAIGHTFORWARD WORKFLOWS TO USE WITH CHROMA GENERATION! Chroma Goontune is a style lora focused on steering Chroma toward photorealistic generation. It has been developed with a dataset spanning both amateur and professional content to ensure a broad and balanced representation of real-world detail. Think of it as reinforcement for concepts that are already existing within the uncensored base chroma model. Training Details - Data Composition: Mixed amateur + professional sources - Captioning: Natural language captions generated with Joycaption - Objective: Improve realism, contextual accuracy, and fine detail rendering Key Features - Enhanced photorealistic output - Strong generalization across diverse content types - Improved alignment between prompts and visual results Use Cases - Realistic XXX NSFW Generation - Photographic-style compositions - Experimental work where lifelike textures and lighting are important USAGE TIPS Just a fair warning, I've found that this LoRA looks best with the workflow that I've been using. It may work better with others/different settings, so feel free to experiment and let me know! Usage Dependencies used in WF: - - - Step 1 — Find a Reference Image - Locate any image online that matches the style or subject matter you want to guide Chroma toward. Step 2 — Generate a Caption with Joycaption - Go to a HF space like . Or use it locally if you have it downloaded. - Input the following exact prompt in the conditioning box for the output prompt: Write a medium-length straightforward caption for this image. Begin with the main subject and medium. Mention pivotal elements—people, objects, scenery—using confident, definite language. Focus on concrete details like color, shape, texture, and spatial relationships. Show how elements interact. Omit mood and speculative wording. If text is present, quote it exactly. Note any watermarks, signatures, or compression artifacts. Never mention what's absent, resolution, or unobservable details. Vary your sentence structure and keep the description concise, without starting with “This image is…” or similar phrasing. Include information about lighting. Include information about camera angle. If applicable, mention the likely use of artificial or natural lighting sources. ONLY describe the most important elements of the image. Do NOT use polite euphemisms—lean into blunt, casual phrasing. Step 3 — Use the Caption in Chroma Goontune - Take the generated caption and feed it into Chroma Goontune as your prompt or conditioning text. - Adjust sampling parameters as usual to refine results. You can usually switch between "an amateur candid photo" and "a professional photo" to adjust the look of the generation. Different conditionings in the prompt such as "off-angle, blurry" can lead to better amateur images. Example Workflow: - Find a reference photo of whatever you want to try to replicate. - Run it through Joycaption with the prompt above. - Copy the generated caption (e.g., “A dimly lit urban street with neon signage above storefronts, a parked silver sedan reflecting blue light, and pedestrians crossing under overhead cables. Strong artificial light sources cast sharp shadows across wet pavement.”) - Paste the caption into Chroma Goontune using the workflow provided in the showcase images. DISCLAIMER Chroma Goontune is capable of producing highly photorealistic imagery. Please use this LoRA responsibly. - Do not use it to generate misleading or deceptive content. - Avoid creating imagery that could cause harm, violate personal privacy, or impersonate real individuals without consent. - Remember that outputs may closely resemble real photography — always make it clear when images are synthetic. This LoRA is released for creative purposes only. I'm not responsible for misuse or any downstream applications that result in harm or violation of laws or ethical guidelines. Also, I don't think I NEED to say this, but is not a real website lol.

4,281 downloads · 214 likes on Civitai

SHA256

96141AA9C01FEC34DBDAE4714AA583659FADB133D7DC8325A04D0D033C533B71

Chroma GOONTUNE Popularity Trend

Heat score, last 12 months

Heat score

8,251°

This week

▼

0.1%

8,253° then, 8,251° now

This month

▼

0.5%

8,260° then, 8,251° now

Past year

▲

40.3%

8,268° then, 8,251° 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.

+1,105°

Civitai downloads

4,281 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.

+350°

Likes

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

+43°

Adoption rate

About 3 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.

−247°

Age

−247° because the Chroma 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 8,251°, 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.
4,281 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.
+1,105°
8,105°
running total
3
Add the likes.
214 likes and thumbs up, at half the weight of a download.
+350°
8,455°
running total
4
Add the adoption rate.
About 3 downloads a day right now, measured between two readings, at a quarter of the weight.
+43°
8,498°
running total
5
Take off the age.
The Chroma weights came out in 2025: 150° a year, up to 750°, growing until then.
−247°
8,251°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
8,251°

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.