Larus Canus ✓
@MrLarus · joined 23 Jan 2011
AI Builder｜Prompt Engineer｜Workflows 🤯原创 GPT-Image2 / Seedance2 视觉案例与提示词 拆解 AI 商用、Agent 自动化｜年省百万+人力成本 Build in public｜AI, business & fatherhood WeChat: MrLarus
38 744Followers
691Following
8 330Posts total
786.2KViews on collected posts
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📸 This set feels like typography stepping into real space!
Letters turn into openings, frames, structures, and suspended layers.
1. TYPE VOID, letters carved into space
2. SHIFT FRAME, a rotated frame in motion
3. TYPE DEPTH, words with real volume
4. FLOAT LEVEL, space split
2.6K views · 73 likes
· 13 reposts · 4 replies
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📸 These spatial posters hit harder than I expected!
Concrete, giant type, human scale, and 3D forms all pushed into the same perspective system.
1. SKY PRISM, transparent planes in the air
2. CUT SPACE, a bold slice through the structure
3. TYPE SPAN, letters turned into a htt
4.3K views · 26 likes
· 5 reposts · 2 replies
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😋 Typography can actually change what food does!
Chocolate hardens on cold type, butter melts on hot letters, olive oil pools inside the counters, and brioche dough grows into every available gap.
1. SET, chocolate hardens on contact
2. SIZZLE, butter melts and foams
3. POOL, h
2.8K views · 87 likes
· 7 reposts · 5 replies
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🤯 Perspective typography turns physics into form!
Waves, bending, buckling and shear make type feel physical.
1. WAVE, standing wave
2. BEND, flexural load
3. BUCKLE, compression
4. SHEAR, lateral shift
🌟 Great for installations, exhibition graphics, brand visuals and https://
2.3K views · 38 likes
· 6 reposts · 2 replies
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🤯 Images 2.5 can make food physically change how typography is seen!
Pasta gets thinner, olive oil reveals hidden type, heat bends the view, and tea blooms through water.
1. Fresh Egg Pappardelle
2. Rosemary Focaccia
3. Crispy Chili Butter Gyoza
4. Hibiscus Citrus Tea
🌟 https:
12.4K views · 215 likes
· 23 reposts · 5 replies
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🤯 Images 2.5 is getting really good at perspective typography!
Once the type starts following the architecture, the whole poster feels much more alive.
1. HIGH EDGE, low-angle type
2. RAMP SIGNAL, sloped type
3. AERIAL ROOM, floating type
4. VOID CHANNEL, split typography https
17.9K views · 313 likes
· 37 reposts · 7 replies
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🅰️ Perspective typography gets physical!
Pressure, torsion, folds and counterweights turn type into a spatial structure.
1. IMPACT, pressure deformation
2. TWIST, torsional surfaces
3. FOLD, hinged planes
4. BALANCE, counterweight system
🌟 Great for spatial graphics, https://t
7.5K views · 97 likes
· 17 reposts · 5 replies
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2/ Prompt structure
I built the prompt around six things: references, characters, scene, dialogue, camera and performance timeline
The character turnarounds locked identity, age, body proportions, hair and clothing. The scene image controlled the environment, lighting and https
2.5K views · 27 likes
· 1 reposts · 4 replies
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0:29
1/ Workflow
I prepared four images before generating the video
Three were used as direct references: a character turnaround for the daughter, one for the mother, and a scene reference for their positions and environment
The fourth was only used to map the mother’s emotional ht
3.2K views · 24 likes
· 1 reposts · 2 replies
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🤯 AI acting just crossed a line!
29 seconds, 3,000+ words of prompting, generated in one go
A mother who learned the hard way
A daughter who still believes love will be enough
So when life gets hard, what matters more:
Love or money?
The facial acting in the final seconds is h
65.6K views · 366 likes
· 32 reposts · 35 replies
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0:29
Game of Thrones-inspired dragon flight, controlled by one red line 🐉
https://t.co/FvZyGQkkKh
2.6K views · 3 likes
· 0 reposts · 0 replies
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🤯 AI flight control is getting wild!
One red line controlled this Game of Thrones-inspired dragon flight!
Winter is coming. ❄️
Iron Islands → Winterfell → The Wall → The Eyrie → Dragonstone → King’s Landing.
A full dragon-back flythrough across Westeros.
Workflow https://t.co
23.3K views · 26 likes
· 3 reposts · 5 replies
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0:15
New version: a water park FPV tour controlled by one red line 🌊
https://t.co/k0TATzfqlq
3.3K views · 6 likes
· 0 reposts · 0 replies
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@MrLarus Drawing the camera path is the kind of control AI video needs. Text prompts are useful, but production wants handles: path, timing, framing, subject lock, and editability after the first generation.
583 views · 3 likes
· 0 reposts · 0 replies
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Step 3: Run it in Seedance
I used the scene image with the red path drawn on it, plus the character cards.
Motion pattern:
fly in → close-up → greeting → pull back → next character.
Small detail:
because the video is only 15 seconds, each character should say very little. http
8.3K views · 57 likes
· 3 reposts · 6 replies
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0:14
Step 2: Character refs + pacing
Wide scenes usually make faces too small, so I made AI character reference cards for the 8 people.
This helps keep different faces, hairstyles, outfits, and vibes more stable.
I also kept the dialogue very short:
name + country only.
The https:/
8.9K views · 27 likes
· 1 reposts · 1 replies
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Step 1: Scene + path
I started with one wide luxury office scene and placed 8 AI characters inside it.
Then I drew a red line directly on the image to control the FPV camera path.
The line is only for the model to read.
It gets removed in the final video. https://t.co/MbnC09qo
7K views · 34 likes
· 4 reposts · 3 replies
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🤯Which coworker would you actually want on your team?
One office. 8 coworkers from different countries.
The camera glides through the room like an FPV tour.
But here’s the wild part:
The entire camera movement was generated from a single red line I drew on the image! https://t
318.2K views · 1.5K likes
· 211 reposts · 72 replies
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0:14
I used AI to make a first-person Quidditch POV chase. 🧹
V1 got 2.3M views in 15 hours, but many of you caught the broom orientation issue.
So I made V2:
Fixed broom orientation, smoother chase, better POV.
The main workflow change:
I added a POV reference frame to lock the htt
292.3K views · 214 likes
· 24 reposts · 18 replies
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0:15
Against accounts of the same size
11 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views3 212this account924median for 10K–100K
Reach, %8.29%this account3.62%median for 10K–100K
Engagement, %1.59%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 3 212 | 924 | 3.48× |
| Reach (views ÷ followers) | 8.29% | 3.62% | 2.29× |
| Engagement rate | 1.59% | 1.52% | 1.05× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3.3K4 Jun
23.3K5 Jun
2.6K
65.6K17 Aug
3.2K
2.5K
963
7.5K12 Sep
17.9K
12.4K13 Sep
2.3K14 Sep
2.8K
4.3K
2.6K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.18%4 Jun
0.15%5 Jun
0.12%
0.66%17 Aug
0.84%
1.28%
0.62%
1.59%12 Sep
2.00%
1.96%13 Sep
2.01%14 Sep
3.59%
0.77%
3.52%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes45.8%3 133 in total
Reposts5.7%388 in total
Replies2.6%180 in total
Bookmarks45.9%3 137 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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