Vidful AI Hands-On: What Actually Happened When I Used It

When I first opened Vidful AI, I honestly expected something similar to Runway or Pika , meaning a single structured model, maybe one or two variations. Instead, the platform feels more like a museum of AI video engines. It offers Veo, Kling, Pixverse, Wan, Haiper, Runway Gen-4, and a bunch of models I hadn’t even heard of (Nano Banana??).

After spending several hours generating 47 test clips across different input types (text → video, photo → video, script → video, image → video), this is my raw, unfiltered experience — exactly as it happened, without trying to make Vidful look better or worse than it is.

First Impressions: The UI Looks Simple, the Experience Isn’t

The interface is clean:

• left side = prompt/model options
• center = generation area
• right = results/history

Nothing confusing visually.
But the moment you click the “Video Models” dropdown, things escalate fast.

There are 16+ models, each with totally different behavior.
No explanations.
No guidance.
No “best used for X.”

I immediately felt like I was choosing a restaurant menu written in five languages.

My First Test: Text-to-Video With Kling AI

Prompt I used:

“An elderly man reading under a street lamp during light rainfall, camera slowly pushing in.”

Actual Output:

The man looked real, but his face changed shape when he blinked.

Rain looked more like floating dust.

The camera motion was smooth though — almost cinematic.

My interpretation:

Kling AI is clearly powerful, but not stable in face structure. It tries too hard to add motion where none is needed.

Result: Impressive but flawed.

Second Test: Veo 3 (Google) — Cinematic, but often ignores details

Prompt:

“A drone flying low over green rice fields with mountains in the background.”

Actual Output:

Beautiful wide landscape

Smooth aerial motion

BUT: The “rice fields” looked more like generic grass

Mountains appeared, disappeared, reappeared

Interpretation:

Veo 3 focuses on motion and mood, not fine detail accuracy.
Good for cinematic shots, not good for storytelling.

Third Test: Pixverse — The Best Anime Motion, Zero Realism

Prompt:

“Anime-style girl jumping between rooftops at night.”

Output:

100% anime-style

Smooth, fluid movement

Background consistent

But the character’s hair kept changing shape

The face turned flat when she landed

Interpretation:

Perfect for anime edits, not usable for anything realistic.

Fourth Test: Photo-to-Video — The Mode That Broke Almost Everything

I uploaded a simple portrait photo (taken from Unsplash) of a man smiling.

Results (across models):

Pixverse: turned him into an animated character → acceptable
  Wan 2.1: mild facial wobble → tolerable
Haiper: nose stretched halfway into his cheek
Kling: eye popped unnaturally during the blink
Veo: replaced the background incorrectly

Interpretation:

Photo-to-video is not reliable on ANY model.
If the photo is stylized → okay.
If the photo is realistic → chaos.

Script-to-Video: Interesting Idea, Broken Execution

Script I used (3 lines):

“A lonely taxi drives through a snowy road.”

“A cabin sits deep in the forest with lights on.”

“A man opens the door and looks relieved.”

Outputs:

Clip 1: Taxi was orange, then yellow on next frame

Clip 2: Cabin looked Scandinavian, not forest cabin

Clip 3: Man opened a door but was wearing weird futuristic armor

Interpretation:

Vidful doesn’t connect scenes.
It simply makes independent clips.
This mode is basically a storyboard helper, not a narrative generator.

Video Effects — Very Hit and Miss

Effects tested: AI Kiss, AI Hug, Anime Spin, Suit Up, Transformer, Ghibli.

What actually happened:

AI Hug: hands fused into one blob

AI Kiss: faces melted together like clay

Anime Spin: worked surprisingly well

Suit Up: created a robotic chestplate out of nowhere

Ghibli: overuses blur + saturation

Interpretation:

These are motion filters, NOT true VFX tools.
Great for TikTok edits, not for serious projects.

Speed Tests Across Models (My Real Timings)

Interpretation:

The better the model, the more time it takes.
Kling is always slow but produces the highest realism.

Credit Consumption — Reality Check

I started with 200 credits.

After 47 tests, I had 38 credits left.

Why?
Because…

Kling costs more

Some generations fail → still consume credits

Regenerating for corrections is expensive

Effects also cost credits

This platform is not cheap for experimentation.

The Unexpected Glitches I Saw

Here are some real errors and outputs I didn’t expect:

A) Floating Objects

In one Haiper video, the character’s bag floated next to her like a drone.

B) Missing Limbs

Pixverse once removed an arm because it “interfered with motion.”

C) Sudden Camera Jumps

Runway Gen-4 clips sometimes jump frames abruptly.

D) Clothing Morphing

Kling AI changed a character’s jacket into a vest halfway into the clip.

E) Background Mutation

Veo replaced a snowy forest with a sunny meadow mid-shot.

What Vidful AI Actually Does Well

• One dashboard to test multiple video engines
• Extremely good for experimentation
• Pixverse + Haiper = best anime/creative motion
• Kling = best realism
• Veo = best cinematic movement
• Smooth interface, no UI bugs

What Vidful AI Doesn’t Do Well

• Continuity between scenes
• Consistent faces
• Natural hand movement
• Photo-to-video realism
• Stable long shots
• Accuracy in multi-element prompts
• Predictability — same prompt → different results

Vidful feels like a testing lab, not a polished creator.

Final Verdict: My Conclusion After Usage

Vidful AI is not a streamlined video editor.
It is a multi-model experimentation hub, and that’s exactly how you should treat it.

If you enjoy:

• testing styles
• comparing engines
• generating experimental clips
• making stylized shorts
• doing quick anime edits
• playing with motion variations

→ Vidful AI is useful.

If you want:

• consistent story videos
• stable faces
• long scenes
• predictable accuracy
• professional video output

→ You’ll be disappointed.

Vidful AI is best for creative experimentation, worst for professional continuity.

It’s not a “one-click cinematic tool.”
It’s a sandbox, and whether that’s good or bad depends on what you expect.