What if you could animate any object in a photo simply by drawing where you want it to move?
No complicated keyframes. No manual masking across hundreds of frames.
Just select an object, draw its trajectory, and let AI handle the animation.
Meet H3 Motion, a new open-source motion control application powered by MiniMax H3 and ComfyUI.
And it's a pretty interesting alternative to traditional text-to-video generation.
Here's the idea.
Instead of writing a prompt and hoping the AI understands exactly how an object should move, you can control the motion directly.
Here's what H3 Motion can do:
Object selection: Identify subjects using SAM 3.1 segmentation.
Motion paths: Draw exactly where an object should travel through the scene.
Scale animation: Make objects grow, shrink, or flip as they move.
AI background reconstruction: Remove the original subject and fill the empty space.
Video editing: Select a region of existing footage and regenerate what happens inside it.
Reference images: Upload or generate visual references to guide the result.
Audio control: Preserve, reference, or replace the original video's sound.
And here's where things get interesting.
H3 Motion isn't powered by a single AI model.
It's an entire coordinated pipeline.
Step 1: SAM 3.1 finds the object.
Select a subject by name or refine its mask manually.
Step 2: Qwen3-VL understands the scene.
The vision-language model describes the selected object and provides context for the next stages.
Step 3: Qwen Image 2.1 removes the original.
The model reconstructs the background so the object can move without leaving an empty hole behind.
Step 4: You direct the movement.
Draw a motion path, set keyframes, and adjust the object's size, position, and orientation.
Step 5: MiniMax H3 generates the animation.
Using an adapted Time-to-Move workflow, H3 turns your motion instructions into a video with sound.
And it works with existing videos, too.
Draw a mask around the area you want to change, describe what should happen, and let H3 regenerate that part of the scene.
The application then composites the generated result back into the original footage.
This is particularly interesting for object replacement, creative video editing, visual effects, and controlled character animation.
Why does this matter?
Because one of the biggest frustrations with AI video generation is the lack of precise control.
You can describe the perfect scene in a prompt.
But getting an object to move exactly where you want it?
That's another story.
H3 Motion gives you a more direct way to control that movement.
Less guessing with prompts. More actual creative direction.
Of course, it's still an experimental tool.
The workflow depends on multiple AI models, a properly configured ComfyUI environment, and a capable GPU. Complex movements and imperfect masks can still produce artifacts.
And there's an important distinction: the application is open source under AGPL-3.0, but its underlying models have separate licenses and usage restrictions.
Still, this is exactly the direction I'd love to see AI video tools moving.
Not just generating random beautiful footage.
Giving creators actual control over what happens inside the frame.
Because the future of AI filmmaking shouldn't be about prompting until you get lucky.
It should be about directing the scene.
H3 Motion on GitHub:
https://github.com/PxTicks/h3-motion
Required ComfyUI nodes:
https://github.com/PxTicks/ComfyUI-vlo
#H3Motion #MiniMaxH3 #ComfyUI #AIVideo #MotionControl #AIAnimation #CreativeCoding
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