OpenArt One-Click Story: The 500M-View Faceless Video Blueprint

33 videos. 2.8 million subscribers. 500 million views. One of those videos alone hit 174 million views and generated hundreds of thousands in ad revenue. No voiceover. No camera. Just AI-generated animal stories with instrumental music and sound effects.

I found the channel, reverse-engineered the format, and got early access to the tool powering it: OpenArt's One-Click Story feature. Here's exactly what I built and how you can replicate it.

OpenArt is the platform I used for the entire pipeline: character creation, image generation, video generation, and timeline editing all in one place. Their free tier comes with 40 trial credits, and the cheapest paid plan is $7/month for 4,000 credits.

Why This Format Works#

Before touching any tool, I spent time analyzing what actually makes these videos perform. The framework is specific:

• Cute, realistic-looking animals (not cartoons)
• No voiceover, just instrumental music and sound effects
• A clear emotional arc: danger or injury, rescue, friendship
• Short enough to watch twice in a row

The 174M-view video follows this exactly. A turtle gets hurt. A rabbit finds it. They become friends. A baby turtle shows up at the end and reunites with its parent. That's the whole story. The emotional payoff is simple and the format is completely faceless, which means zero on-camera presence and zero voice recording.

The output-to-result ratio here is what's worth sitting with: 33 videos to 500 million views. That's an average of 15 million views per video. Most creators publish 33 videos and get a fraction of that. The difference is the format.

The Workflow, Step by Step#

Step 1: Screenshot the Reference Channel#

Go to the channel you're modeling. Click into their most popular shorts. Screenshot 3-5 frames that show the visual style -- the animal design, lighting, and scene composition. These become your reference images.

Step 2: Generate a Character Reference with ChatGPT#

Upload your screenshots to ChatGPT with a prompt asking it to analyze the visual style and generate a reference image of a new character that matches it. I created Ronnie the Rabbit this way -- a character that visually fits the aesthetic of the reference channel without copying any specific video.

Download that generated image. That's your character seed.

Step 3: Upload the Character to OpenArt#

In OpenArt, click Create, then select Custom Character. Name your character, upload the reference image, and click Create Character. OpenArt uses this image to keep your character visually consistent across every scene it generates. If you want even tighter consistency, there's a multi-image training option, but one strong reference image gets you most of the way there for a first video.

Step 4: Write the Story Prompt#

This is where you set the emotional arc. For my first video, I used: Ronnie the rabbit helps his friend, a turtle, who got injured and run over by a car. Ronnie helps nurse the turtle back to health and they become best friends.

That's it. One paragraph. OpenArt takes it from there.

For the second video, I went with the danger variant that performs well on the reference channel: Ronnie the rabbit is being hunted by a vicious crocodile. He's barely getting away. He's saved at the last minute by a fox, and they become best friends.

Step 5: Configure Settings#

• Aspect ratio: 9x16 for vertical/Shorts format
• Image model: Flux Context (best for character consistency)
• Video model: Kling 2.1 Standard (about 1,000 credits per ~1 minute of video)
• Background music: Auto-select trending song works fine for testing

If you want a custom track that fits the emotional arc of your specific story, you can upload a Suno-generated song directly. For that, you'll want to know how to create background music with Suno AI that actually matches a mood and pacing rather than just generating something generic. My Suno AI Complete Guide covers exactly that for $14.80.

Click Create Story. OpenArt generates the script, then the images, then the videos -- sequentially, in the background. You can step away.

Step 6: Review and Fix in the Timeline Editor#

This is where "automated" meets "you still need to watch it." My second video had an obvious error: the rabbit was chasing the alligator instead of fleeing it. The tool generated the wrong behavior for the scene.

The fix was straightforward. I opened the timeline editor, cut the shot at the point where the rabbit turned around, repositioned a close-up of the alligator to emphasize the danger, and regenerated the final friendship scene with a new prompt: the fox becomes friends with the rabbit and they play with each other.

I also added a new opening shot, a turtle getting run over by a car as the establishing scene -- by uploading a still image and writing a video prompt: zoom out and show the turtle alone on the street, getting run over by a car. The result was a clean dramatic opener.

"You have a lot of control over the videos as a creative director." That's the accurate way to think about this tool. It handles the heavy generation work. You handle story logic, pacing, and anything the AI gets behaviorally wrong.

The editor also lets you adjust clip duration, change playback speed, extend the background music track to match added scenes, and regenerate any individual clip that doesn't work.

Step 7: Export and Publish#

Share > Download > Remove Watermark > Export. Then upload directly to YouTube Shorts or TikTok. Mark it as AI-generated content -- YouTube has a disclosure field for this and it's worth using.

Both of my videos were uploaded within one session. The turtle rescue video and the crocodile/fox video are live. We'll see what happens with the views.

What This Actually Produces#

A complete 30-second short with consistent characters, multiple scenes, dramatic pacing, and background music -- built from a single text prompt and a reference image. The first generation won't always be clean, but the editor gives you enough control to fix what the AI gets wrong without starting over.

If you want to go deeper on the visual side, I've also used OpenArt for AI 3D animation across four different professional styles -- same platform, different use case entirely. And if you're pairing these videos with original music, the workflow I use for AI lyric videos runs through Suno and OpenArt together and produces something more polished than either tool alone.

The faceless animal story format has already proven it scales. The only question is whether you want to be the one running it.

Watch the full video on YouTube: https://youtu.be/W1Vl9Zios9w

This post contains affiliate links. I only recommend tools I actually use.