Are Paid Video Models' Character References Really That Good?
Longjumping_Bus9807 · reddit · 2026-07-14
The post compares local video generation workflows with the "character reference" capabilities of commercial services.
Local Testing
- When using Wan 2.2 I2V, starting with a side-profile image and panning the camera to the front causes the character's identity to collapse significantly.
- This led the author to believe that true character consistency in video generation remains very challenging, especially during large camera movements.
Doubts About Paid Services
The author noticed products like OpenArt and Leonardo AI claiming robust Character Reference features that maintain character stability on closed video models (like Kling, Seedream, Hailuo, etc.), raising suspicions:
- Are they genuinely injecting reference weights or deeper conditional signals at the backend?
- Or are they just wrapping single-frame images with a more complex "master prompt" to make the capability seem stronger?
- If it's merely an I2V API, will the face still melt during a massive 180-degree camera pan?
Desired Comparison
The author hopes someone will run a realistic comparison between local ComfyUI/Lora/Stand-in workflows and these paid integrations to see if commercial products' "character lock" can truly hold up under intense motion.
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