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KXSR First Person Flight Concept WAN 14B + 1.3B T2V

7842°
KXSR First Person Flight Concept WAN 14B + 1.3B T2V
Created by
Kytra
on Civitai
by Kytra - Example Prompts kxsr, a person flying in first-person perspective through a raging forest fire, the camera descends through burning trees with smoke and ash rising into the sky
Creator notes
KXSR First-Person Flight Concept LorA for WAN 2.1 14B and 1.3B T2V In collaboration with [ Labs presents: This LoRA enables the creation of cinematic first-person perspective flying. The hands can be customized in the prompt provided or omitted from the prompt for raw forward camera movement. The typical view will be from a first-person perspective with dynamic movement in horizontal aspect ratio generation. Can still create fun results at other aspect ratios/resolutions. Use the trigger word "kxsr" to activate the model's specialized training. Prompt Format kxsr, [flying in first-person perspective/a person flying in first-person perspective] [broad description of landscape] [describe visible body parts (hands/fists)] [describe movement direction and speed] [describe additional environmental details encountered during flight] Example Prompts kxsr, a person flying in first-person perspective through a raging forest fire, the camera descends through burning trees with smoke and ash rising into the sky ================================================= kxsr, a person flying in first-person perspective through an underwater atlantis city, mermaid hands with painted fingernails visible, the camera descends into bubbling water and zooms through the sunken ornate ruins Recommended Settings - CFG: 4 - Shift value: 4.0 - LoRA strength: 1.0 - ~73 frames - 720x1280 horizontal aspect ratio Technical Details - Base model: WAN 2.1 14B and 1.3B Text2Video - Training dataset: 62 clips - Resolution: 1280 x 720 (horizontal format) - Frame count: 73 frames per clip - For optimal results, maintain these specifications during inference This LoRA works best when you provide detailed descriptions of both the subject and the surrounding environment while following the prescribed format. Screenshot shows my typical inference testing setup for lora evals:
Trigger words
kxsr
528 downloads · 76 likes on Civitai
SHA256
627E2DE8AB804C1DF0D911FE6EEC05CCDEB46555A2DE9949A266CC8BFE394031
Ranking badge
Updated Oct 22, 2026
KXSR First Person Flight Concept WAN 14B + 1.3B T2V on ModelTrends.ai: #95 Hottest Wan model
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Also ranked: #86 Hottest Wan LoRA
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KXSR First Person Flight Concept WAN 14B + 1.3B T2V Popularity Trend
Heat score, last 12 months
Heat score
7,842°
This week
n/a
Wasn't released/tracked
This month
n/a
Wasn't released/tracked
Past year
n/a
Wasn't released/tracked
KXSR First Person Flight Concept WAN 14B + 1.3B…: Heat score, last 12 months7,000°7,308°7,616°7,924°8,232°Oct 2025Dec 2025Mar 2026May 2026Aug 2026Oct 20267,842°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.
+817°
Civitai downloads
528 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.
+283°
Likes
76 likes and thumbs up across the sources. A like weighs half a download, on the same log scale.
−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 7,842°, 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.
    528 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.
    +817°
    7,817°
    running total
  3. 3
    Add the likes.
    76 likes and thumbs up, at half the weight of a download.
    +283°
    8,100°
    running total
  4. 4
    Take off the age.
    The Wan weights came out in 2025: 150° a year, up to 750°, growing until then.
    −258°
    7,842°
    running total
  5. =
    The heat score.
    Where this model stands on every list of this site. Nothing else adjusts it.
    7,842°
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.
Render by urijzelev780 on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Size
1280x720
Prompt
kxsr, first person view, a mermaid swims, parting the water with both hands, from a first person view through the underwater city of Atlantis, the mermaid's hands are visible, covered in scales, with painted nails, the camera descends into the seething water and moves through the sunken richly decorated ruins.
Render by Kytra on
Civitai
·
Prompt on BunchaPrompts
Flag
Settings
Steps
50
Guidance
4
Size
1280x720
Prompt
kxsr, a person flying in first-person perspective above an elven city with ornate fantasy building, the camera descends into the marble streets, nightelf hands with painted fingernails visible
Run Locally
kxsr_WAN1-3B_fpv_flying_concept.safetensors
167 MB · SafeTensor
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Torrents
kxsr_WAN1-3B_fpv_flying_concept.safetensors
166.95 MB · WAN 1.3B T2V · 0 seeders ·
CivitasBay
kxsr_WAN14B_fpv_flying_concept.safetensors
292.59 MB · WAN 14B T2V · 0 seeders ·
CivitasBay
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