Clapping Cat Meme AI: Make Your Pet Clap With Image-to-Video
One photo, one prompt, three models: all three made the cat sit up and clap, but the mouths and the watermark differed.

On this page
- What the clapping cat meme is
- What you need: one photo and one prompt
- The same photo through three models
- Prompt tips that made the clap work
- What a clip costs
- Doing it through the API
- Common questions
- Will it still look like my pet?
- Does it need a black cat?
- Does the clip have sound?
- Why is there a watermark?
- Why does the cat show its teeth?
- Update log
The clapping cat is a black cat from an AI-generated video posted to Instagram on September 25, 2026, then remade as green-screen reactions. To make your pet clap, use one clear photo and one prompt with image-to-video. We ran the same photo through MiniMax H3, Wan 3.0 and HappyHorse 1.1 on October 28, 2026: all three sat the cat up and clapped, but the mouths and the watermark differed.
What the clapping cat meme is
The original is an AI-generated video of a black cat with a human-like smile and hands, slowly clapping. An archived copy of Know Your Meme's entry, last updated October 13, 2026, files it as an exploitable green-screen meme. The clip went up on Instagram on September 25, 2026 from @merkurianin: a comedy video where a man feeds his cat, and the cat smiles and claps at him.
Verge Magazine's October 8, 2026 explainer dates the origin to the same day and handle, so two sources confirm it. Both report more than 2.5 million likes in just over a week, and both date the green-screen turn to a TikTok account on September 28, 2026, with more than 3.8 million views in a week.
The cat is sarcastic applause: Verge lists successes, failures and questionable choices, and Know Your Meme says it applauds bad behavior. The pet-photo remakes came later, and no source we found dates their start; the earliest dated pet-photo page we saw is from October 14, 2026.
What you need: one photo and one prompt
You need one clear photo of your pet: image-to-video animates that frame, and the prompt carries the motion and the sounds. On r/DrawMyPet, a public post from October 6, 2026 asks for exactly this: "Can someone make that cat clapping meme with my cat please?"
Our test photo is a stand-in, not a photo of a real pet: we generated it with GPT Image 2 at 1024×1536, a black cat on a light grey sofa with a living room behind. We asked for a sitting cat and got one lying down, so the clap prompt asks the cat to sit up first. We tested only a black cat on a sofa.
This is the prompt we sent to all three models, word for word.
The black cat in the photo sits up on its hind legs, opens its mouth in a wide toothy grin and claps its front paws together in front of its chest five times, fast and happy, then keeps grinning at the camera. Keep the cat's face, fur, the sofa and the room exactly as in the photo. The camera stays still. Sound: soft paw claps and one cheerful meow.
The same photo through three models
That photo and prompt went to MiniMax H3, Wan 3.0 and HappyHorse 1.1 through OmniaKey on October 28, 2026, at 768P or 720P.

| Model | Resolution and ratio | Clip length | Render time in our first run |
|---|---|---|---|
| MiniMax H3 | 768P, no ratio (the photo sets 2:3) | 5.18 s | 31 s |
| Wan 3.0 | 720P, 9:16 | 5.04 s | 99 s |
| HappyHorse 1.1, watermark off | 720P, no ratio | 5.16 s | not recorded |
- MiniMax H3 (frame at 2.0 s). The cat sits up, its mouth open wide with teeth showing, its paws together in front of its chest; the face and the room keep the look of the photo.
- Wan 3.0 (frame at 3.0 s). The cat sits up with its paws together in front of its chest, and the mouth is open only a little, with teeth visible. The 9:16 frame is narrower than the photo, so the sofa and the room are cropped at the sides. For Wan's prompt structure, see our Wan 3.0 prompt guide.
- HappyHorse 1.1 (frame at 2.5 s). The cat sits up with its mouth open and teeth showing, and the paws come up in front of its chest.
- The HappyHorse frame in the picture is a separate render of the same prompt with
watermarkset tofalse, so no "Happy Horse" mark sits in the corner. Our watermark-on render of the same prompt took 89 s in the first run.
We ran one clip per prompt per model, so treat each result as one sample.
Prompt tips that made the clap work
- Ask for the sit first. The input image has the cat lying down, so the prompt opens with "sits up on its hind legs". All three clips show the cat rising from the lying pose.
- Name where the paws meet. "In front of its chest" put the paws in front of the chest in the fast-prompt frames we checked. The prompt asked for five claps, but we are not printing a count: frame checks, sound analysis and two audio models gave different numbers.
- Say what the mouth does. "A wide toothy grin" produced open mouths with teeth in all three fast clips; Wan 3.0's opening was small. For the shot and sound fields MiniMax H3 uses, see our MiniMax H3 prompt guide.
- Pick the ratio on purpose. MiniMax H3 and HappyHorse 1.1 keep the photo's 2:3 shape; Wan 3.0 with 9:16 gives a narrower frame, so the sides of the room are cut off.
- Name the sounds you want. The prompt asks for soft paw claps and one cheerful meow, and two audio models heard a meow and claps in the MiniMax H3 and Wan 3.0 clips. HappyHorse 1.1's sound is not confirmed, so listen to the clip before you publish it.
- Turn the watermark off on HappyHorse 1.1. It is on by default, and
watermarkset tofalseremoved it on our clip.
We wanted a closed mouth, so we ran a second prompt that asks for a small, smug smile with no teeth and slower claps.
The black cat in the photo sits up on its hind legs and slowly claps its front paws together in front of its chest, five claps about half a second apart, like polite applause. Its mouth stays closed in a small, smug smile, with no teeth showing. After the fifth clap it lowers its paws and keeps looking at the camera. Keep the cat's face, fur, the sofa and the room exactly as in the photo. The camera stays still. Sound: five soft paw claps and one short meow at the end.

In the slow run, Wan 3.0 kept its mouth mostly closed, and MiniMax H3 opened it with teeth anyway. In the HappyHorse 1.1 clip its paws cover the mouth for much of the time, so we cannot judge it from most frames.

What a clip costs
| Model | Per second at list price | 5-second clip |
|---|---|---|
| MiniMax H3 768P | $0.08 | $0.40 |
| Wan 3.0 720P | $0.10 | $0.50 |
| HappyHorse 1.1 720P | $0.14 | $0.70 |
Vendor list prices, checked October 26 and 27, 2026.
A 10-second clip costs double: $0.80 on MiniMax H3 at 768P, $1.00 on Wan 3.0 at 720P and $1.40 on HappyHorse 1.1 at 720P.
Wan 3.0's list price comes with a limited-time 30% discount that Alibaba shows on its pricing page. HappyHorse 1.1 has a 10-second free quota in Singapore, and Wan 3.0 a 30-second combined quota there.
For OmniaKey's current rates, see the MiniMax H3 model page.
Doing it through the API
This request sends the fast prompt to MiniMax H3 as an image-to-video task:
curl https://api.omniakey.com/v1/media/tasks \
-H "Authorization: Bearer $OMNIAKEY_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: clap-cat-001" \
--data-binary @- <<'JSON'
{
"model": "minimax-h3",
"type": "video",
"operation": "image_to_video",
"input": {
"prompt": "The black cat in the photo sits up on its hind legs, opens its mouth in a wide toothy grin and claps its front paws together in front of its chest five times, fast and happy, then keeps grinning at the camera. Keep the cat's face, fur, the sofa and the room exactly as in the photo. The camera stays still. Sound: soft paw claps and one cheerful meow.",
"media": [{"type": "first_frame", "url": "https://example.com/my-cat.jpg"}]
},
"parameters": {"resolution": "768P", "duration": 5}
}
JSON
- Put the photo at a public HTTPS address, or send it as a data URI; the whole request body is capped at 1 MiB.
- The reply is
202with a task id. Pollhttps://api.omniakey.com/v1/media/tasks/{id}untilstatusis final; our clips took 30 seconds to about 160 seconds to render. - A replayed Idempotency-Key with the same body returns the same task, so if you are not sure the first request landed, send it again with the same key rather than a new one.
- Download
assets[0].url, a signed link that lasts about an hour; poll again for a fresh one if it expires.
Start from the MiniMax H3 model page, and see the video API docs.
Common questions
Will it still look like my pet?
All three clips kept the black coat and the room from our input image. The expression changes in every clip, as the prompt asks, and the mouths opened in all three fast-prompt clips.
Does it need a black cat?
We tested one image: a black cat on a sofa. Other colors and other poses are untested, so pick a photo and run one clip before you plan a batch.
Does the clip have sound?
All the clips have an audio track. Two audio models heard a meow and claps in the MiniMax H3 and Wan 3.0 clips, and the sound of the HappyHorse 1.1 clips is not confirmed.
Why is there a watermark?
HappyHorse 1.1 adds a "Happy Horse" watermark in the bottom-right corner by default. Setting watermark to false removes it, as in watermark.webp.
Why does the cat show its teeth?
The fast prompt asked for a wide toothy grin. In the slow run Wan 3.0 kept the mouth mostly closed, while MiniMax H3 opened it with teeth anyway.
Update log
- October 28, 2026: first version, one photo through three models run the same day.
Models in this article
Related articles
MiniMax H3 Prompt Guide: Structure, Examples and Real Clips
Seven prompts, seven real clips: which cuts landed on time, what the sound fields did and which signs came out garbled.
Wan 3.0 Prompt Guide: Structure, Examples and Real Clips
Five prompts, five real clips: what Wan 3.0 followed, what it skipped and how to fix it.
Best AI video API models in 2026
There is no single best video model. The right route depends on whether you need a long shot, a faithful first frame, reference images, predictable cost, or a faster production queue.

