MeiLing Vicious
Best for beginners. Describe what you want in a chat and the picture comes back, no learning curve.
Images and video from a chat, with short commands. The most convenient tool for Telegram users, with a web companion.
Best for power users. Full control over models, settings and workflows in a browser studio.
Best for communities. Add it to your own server and run any workflow from a channel.
One screen for every model and workflow: prompts, references, edits and video, built into your Graydient account.
Generate on Civitai's own site; every image is paid for with Buzz credits.
Set up local programs if your computer has capable hardware.
Generate the same prompt on up to 50 checkpoint/base models at a time.
__html__MEILING VICIOUSMeiLing is a professional model and influencer Asian Pop Star and also singer of the Metal Band "Bubblegum Death" and of course proud part of the Vicious family. They are nice people and gave birth to a lot of pretty daughters, the best about them is... they are entirely fictional.WORKS BEST WITH THE TRUALITY ENGINE V3 and was specifically trained to achieve optimal results with the V3 version. Test it and share your feedback.DISCLAIMER: All Models released under the Vicious Family are fictional, I can not know every person, every actor, every influencer in the world…__html__MEILING VICIOUSMeiLing is a professional model and influencer Asian Pop Star and also singer of the Metal Band "Bubblegum Death" and of course proud part of the Vicious family. They are nice people and gave birth to a lot of pretty daughters, the best about them is... they are entirely fictional.WORKS BEST WITH THE TRUALITY ENGINE V3 and was specifically trained to achieve optimal results with the V3 version. Test it and share your feedback.DISCLAIMER: All Models released under the Vicious Family are fictional, I can not know every person, every actor, every influencer in the world and resemblances are purely coincidental. While it is possible that I take inspiration from a look that I like, I have not, not will I ever use any of their original photos to create a resemblance on purpose. All my models are either entirely created by prompts and trained on the results or mixed with body parts, facial features of 2 female friends who have consented in writing for their images being used in my process. If anyone feels that one of my models resembles a celebrity, actress or influencer please leave a comment so I can verify and make an informed decision to delete them or not.
Show detailed breakdown
- 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.949 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.+894°7,894°running total
- 3Add the likes.92 likes and thumbs up, at half the weight of a download.+295°8,189°running total
- 4Take off the age.The SD15 weights came out in 2022: 150° a year, up to 750°, growing until then.−609°7,580°running total
- =The heat score.Where this model stands on every list of this site. Nothing else adjusts it.7,580°
- 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.

















