Matrix Bullet Time Camera Effect (Wan2.1 I2V LoRA)

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Created by

Remade

on Civitai

by Remade - b4ll3t t1m3 bullet time shot A medieval knight, fully armored and brandishing a sword overhead, is captured mid-leap over a battlefield, arrows suspended in mid-flight around him. The scene utilizes a b4ll3t t1m3 bullet time shot effect, where the action is dramatically slowed down, freezing the knight in his dynamic pose, and the arrows in mid-air. The background reveals a chaotic battle with soldiers, flags, and shields, all slightly blurred by the effect. The camera smoothly rotates around the knight, offering varying views of the frozen moment, showcasing the knight's actions, the incoming arrows, and the surrounding battle from all angles.

Creator notes

Generate videos with 100+ camera control and VFX LoRAs for free on the . Wan2.1 14B I2V 480p v1.0: Trained on 50 seconds of video comprised of 10 short clips (each clip captioned separately) of scenes featuring the Bullet Time effect. The trigger phrase is: 'b4ll3t t1m3 bullet time shot' See below for some prompt examples that worked well for me. You can also check the videos I've posted here for the captions that were used to generate them. For each video the input image is just the first frame. Recommended Settings: LoRA strength = 1.0 Embedded guidance scale = 6.0 Flow shift = 5.0 Here's a link to the Wan2.1 I2V LoRA inference workflow I used to generate these videos: This is a slight modification to Kijai's version, with the main difference being the addition of the WanVideo Lora Select node, connected to the 'lora' field of the WanVideo Lora Select node. Prompt Examples: b4ll3t t1m3 bullet time shot A medieval knight, fully armored and brandishing a sword overhead, is captured mid-leap over a battlefield, arrows suspended in mid-flight around him. The scene utilizes a b4ll3t t1m3 bullet time shot effect, where the action is dramatically slowed down, freezing the knight in his dynamic pose, and the arrows in mid-air. The background reveals a chaotic battle with soldiers, flags, and shields, all slightly blurred by the effect. The camera smoothly rotates around the knight, offering varying views of the frozen moment, showcasing the knight's actions, the incoming arrows, and the surrounding battle from all angles. b4ll3t t1m3 bullet time shot The video captures two motocross riders mid-air above a reflective body of water, with one rider firing a gun towards the other. The shot is captured using a b4ll3t t1m3 bullet time shot effect, dramatically slowing down the action, which freezes the riders, their bikes, the water droplets, and the muzzle flash in a suspended moment. During this b4ll3t t1m3 bullet time shot, the camera viewpoint smoothly pivots around the two bikers, moving from a front view to a side view, emphasizing the dynamic action of the high-speed confrontation. Let me know if there are any questions, I'll be happy to help! You can also join our to request LoRAs and generate videos with them for free!

Trigger words

b4ll3t t1m3 bullet time shot

SHA256

9E9B4952022C68014AD93D5E11FD949BD2AD46E26152B5E31C6F61725964F7A0

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Updated Oct 22, 2026

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Also ranked: #17 Hottest Wan model

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Matrix Bullet Time Camera Effect (Wan2.1 I2V LoRA) Popularity Trend

Heat score, last 12 months

Heat score

8,152°

This week

▼

0.5%

8,155° then, 8,152° now

This month

▼

2.0%

8,163° then, 8,152° now

Past year

▼

22.0%

8,280° then, 8,152° 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.

+1,036°

Civitai downloads

2,739 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.

+361°

Likes

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

+13°

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.

−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 8,152°, 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.
2,739 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.
+1,036°
8,036°
running total
3
Add the likes.
256 likes and thumbs up, at half the weight of a download.
+361°
8,397°
running total
4
Add the adoption rate.
About 0 downloads a day right now, measured between two readings, at a quarter of the weight.
+13°
8,410°
running total
5
Take off the age.
The Wan weights came out in 2025: 150° a year, up to 750°, growing until then.
−258°
8,152°
running total
=
The heat score.
Where this model stands on every list of this site. Nothing else adjusts it.
8,152°

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.

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Render by Remade on

Settings

Size

688x368

Prompt

b4ll3t t1m3 bullet time shot A medieval knight, fully armored and brandishing a sword overhead, is captured mid-leap over a battlefield, arrows suspended in mid-flight around him. The scene utilizes a b4ll3t t1m3 bullet time shot effect, where the action is dramatically slowed down, freezing the knight in his dynamic pose, and the arrows in mid-air. The background reveals a chaotic battle with soldiers, flags, and shields, all slightly blurred by the effect. The camera smoothly rotates around the knight, offering varying views of the frozen moment, showcasing the knight's actions, the incoming arrows, and the surrounding battle from all angles.

Render by Remade on

Settings

Size

688x368

Prompt

b4ll3t t1m3 bullet time shot The video captures two motocross riders mid-air above a reflective body of water, with one rider firing a gun towards the other. The shot is captured using a b4ll3t t1m3 bullet time shot effect, dramatically slowing down the action, which freezes the riders, their bikes, the water droplets, and the muzzle flash in a suspended moment. During this b4ll3t t1m3 bullet time shot, the camera viewpoint smoothly pivots around the two bikers, moving from a front view to a side view, emphasizing the dynamic action of the high-speed confrontation.

Render by Remade on

Settings

Size

688x368

Prompt

b4ll3t t1m3 bullet time shot A b4ll3t t1m3 bullet time shot features a man jumping from a car that is in the air mid-explosion, and sparks and debris flying around the vehicles in a parking garage. The b4ll3t t1m3 bullet time shot effect dramatically slows down the action of the explosion and the man's jump, creating a frozen moment. While the man and car remain in mid-air, the camera viewpoint circles around the scene from a slightly lower angle, offering different views of the action.

Render by Nup on

Settings

Guidance

Seed

24231881

Size

688x480

Weight used

Prompt

a woman dancing happily in the middle of a street under a neon sign, cars drive into her and she dances over them

Render by wakantanka on

Settings

Size

960x720

Prompt

b4ll3t t1m3 bullet time shot poetic autumn style, a young European woman with fair skin, long wavy brown hair, and a soft smile is frozen mid-motion in a golden park during fall. She has just tossed a dozens of colorful fallen leaves into the air—reds, oranges, and yellows scattering above her. Wearing a cozy beige coat and a scarf, her arms are raised joyfully as leaves swirl around her. The b4ll3t t1m3 bullet time shot effect captures the suspended leaves, drifting dust, and her flowing hair in perfect slow motion. The camera smoothly rotates around the woman, offering varying views of the frozen moment, showcasing the woman's actions and the leafs surrounding her.

Render by mistporyvaev on

Render by PupaBoo on Civitai

Settings

Size

480x720

Prompt

Fast quick dynamic action scene, many events happen in a few seconds. Camera rapidly flies around fairy girl in glasses with moving butterfly wings. Skulls are jumping on the floor. Window suddenly blows up in explosion. Particles and sparkles everywhere.

Render by zennesen on Civitai

No prompt was shared with this render.

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Run Locally

How to install

Sep 24, 2025

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