FPV Drone Dive Perspective Wan 2.2

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

PirateDiffusion Telegram

Pro studio (SpyGlass) Web

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.

Discord bot (Vector)

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

Unified Editor Web

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

1,229 downloads · 91 likes on Civitai

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.

Wan 2.2 LoRAs come as two files, one for the high-noise expert and one for the low-noise expert, and both are on this page. Use the two files together. The heat score and the figures of this listing are the high-noise file's; the low-noise file's own counts are not added.

Created by

ErosX

on Civitai

by ErosAIx - FPV Drone Dive Perspective - Wan 2.2

Creator notes

This lora has been trained to give a classic FPV drone dive shot. The input image should be a steep (almost vertical) view down a building, cliff, mountain etc to give the best results. The output should follow a very fast to cinematic dive down the structure (use the words very fast or fast), then the perspective pulls up out of the dive to reveal the horizon of the location described. I've not tested on anything else, so results may vary for other applications... Trigger word: Dr0ne Div3 Example urban prompt: Dr0ne Div3, drone camera perspective dives vertically down a tower very fast and pulls up to reveal urban environment at the end of dive Example nature prompt: Dr0ne Div3, drone camera perspective dives vertically down a cliff fast and pulls up to reveal beach at the end of dive First lora, so be nice :) I used Youtube tutorial tutorial about how to use toolkit runpod:

SHA256

35704A53938F37D9BFA268394464E0469673E7B88DCD74FBFD8401739605BE47

Ranking badge

Updated Oct 22, 2026

Made this model? Show this badge on your page.

Paste it into your Hugging Face card or Civitai description.

Change colors / personalize / get code

Also ranked: #43 Hottest Wan model

Not this creator?

Get your own badge

FPV Drone Dive Perspective Wan 2.2 Popularity Trend

Heat score since 3 Dec 2025

Heat score

7,996°

This week

▬

0.0%

7,997° then, 7,996° now

This month

▬

0.0%

8,003° then, 7,996° now

Past year

n/a

Wasn't released/tracked

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.

+936°

Civitai downloads

1,229 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.

+295°

Likes

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

+23°

Adoption rate

About 1 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 7,996°, 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.
1,229 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.
+936°
7,936°
running total
3
Add the likes.
91 likes and thumbs up, at half the weight of a download.
+295°
8,231°
running total
4
Add the adoption rate.
About 1 downloads a day right now, measured between two readings, at a quarter of the weight.
+23°
8,254°
running total
5
Take off the age.
The Wan weights came out in 2025: 150° a year, up to 750°, growing until then.
−258°
7,996°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
7,996°

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.

Get this prompt

Render by SlayerMoon on

Settings

Size

1088x832

Prompt

Very high quality 4k digital animation, This is a masterpiece of the best quality, the video is showcasing amazing and highly detailed higly stylized anime aesthetic. Dr0ne Div3, camera behind starship perspective dives vertically up fast and pulls up to reveal 16-bit era space background with low polygonal style objects and spacecraft at the end of dive. A low-polygon image of a spaceship from the 16-bit. The spaceship flies forward to open space, tearing through enemy lines, circling spacrafts and other objects at high speed, creating a dynamic scene. masterpiece, high quality, high detail, cinematic lighting, soft focus, 4k,

Render by ErosX on

Settings

Size

720x480

Prompt

Dr0ne Div3, drone camera perspective dives vertically down a tower very fast and pulls up to reveal urban environment at the end of dive

Render by ErosX on

Render by ErosX on Civitai

Settings

Size

720x480

Prompt

Dr0ne Div3, drone camera perspective dives vertically down a tower very fast and pulls up to reveal urban environment at the end of dive. The traffic on the street below slowly moves

Settings

Size

720x480

Prompt

Dr0ne Div3, drone camera perspective dives vertically down a tower very fast and pulls up to reveal urban environment at the end of dive

Render by ErosX on

Settings

Size

720x480

Prompt

Dr0ne Div3, drone camera perspective dives vertically down a mountain very fast and pulls up to reveal a forest landscape at the end of dive

Render by ErosX on

Settings

Size

720x480

Prompt

Dr0ne Div3, drone camera perspective dives vertically down a cliff fast and pulls up to reveal beach at the end of dive

Render by yajukun on

Render by yajukun on Civitai

Settings

Size

1440x960

Prompt

Dr0ne Div3, drone camera perspective dives vertically down deep into the ocean fast and pulls up to reveal the underwater scenery at the end of dive, colorful coral reefs, fishes and sun-rays shining down from the surface of the ocean.