Created with Gemini Nano Banana Pro
Prompt :
A cinematic 10-second AI video. Early morning after light rain in a peaceful city park. A 7-year-old little girl wearing a yellow raincoat stands under soft gray clouds. She gently stretches out her hand to catch the falling raindrops. As each raindrop touches her fingertips, it transforms into glowing colorful paint particles floating in the air. The colors begin swirling around her, creating a beautiful rainbow ribbon that circles the park. The girl smiles with wonder and slowly spins around. Sunlight breaks through the clouds, illuminating the rainbow colors. The camera starts with a close-up of the raindrops, then slowly pulls back into a wide cinematic shot. Soft cinematic lighting, realistic style, shallow depth of field, magical atmosphere, ultra-detailed, smooth camera movement, 4K.
Voice-over:
"Sometimes, happiness falls from the sky. All you have to do is reach for it."
Sound Effects:
Gentle rain droplets
Soft piano music
Light wind and birds chirping
Magical sparkle sound when the colors appear
Scene Breakdown:
0–3 sec: Close-up of raindrops falling onto the girl's hand.
3–7 sec: Raindrops become colorful paint particles swirling around her.
7–10 sec: Rainbow forms as sunlight appears and the girl smiles at the sky.
Seedance 2.0 is insane.
Blender previs is having a moment in AI filmmaking for a reason.
I wanted to see how far I could push the workflow beyond a simple camera move in an ambush scene.
The workflow:
1. Make a start image in Midjourney
2. Block it out in Blender, animate the camera
3. Feed both to Seedance
The more I test this pipeline, the more convinced I am that hybrid pipelines are the future. The conversation is moving fast but previs is one of the clearest unlocks so far.
Seedance still isn't perfect at matching the reference but it's close.
You can experiment with staging, timing, and camera movement before you ever touch the video model.
Solve the scene before you generate the shot.
All you need is one headshot. Introducing our new model, Viggle V4.5.
- Clearer full-body results in full detail, every angle, even from a headshot
- Finer texture, truer to your reference
- More stable motion
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The method is the same on every shot.
1. Claude reads your raw clip frame by frame, so it knows your subject, your movement, the camera, and the light.
2. Turn on the free skill, describe the changes you want to make.
3. Run that prompt in Seedance 2.0 and attach the original footage as input.
(Claude can't actually watch video, so it examines them frame-by-frame like below which is more than enough for what we are trying to do)
Handheld camera motion for Seedance 2.0
I hate blender so I stage it on my iphone.
You stage the scene (open source link below) and can walk around it and capture real camera movement in 3D space, then Seedance populates the scene.
Handheld camera motion and realistic shake is hard to describe or prompt to AI. The iphone’s ARKit is super precise with motion tracking and you can record complex scenes as a one man studio.
Here is the AI filmmaking workflow:
1. Set up blocking in the 3D space
2. Record camera motion
3. Generate a starting image with location and characters
4. Feed image and video to Seedance
This was a fun build with claude code. Happy if others want to build on it.