Seedance 2.0 AI Video: Review and User Discussion
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The AI video generation landscape has evolved into a battle between two distinct philosophies: Seedance 2.0's multimodal control versus Kling 3.0's motion mastery. Both from Chinese tech giants (ByteDance and Kuaishou respectively), these models represent fundamentally different approaches to video generation. This comparison will help you decide which one fits your workflow.

ByteDance's Seedance 2.0 represents a paradigm shift in video generation. Rather than relying on text prompts alone, it accepts images, videos, audio, and text as inputs—giving creators unprecedented control over every aspect of generation.
Seedance 2.0's defining feature is its ability to extract and combine elements from multiple reference files:
@Image1 as the character, reference @Video1 for camera movement,
use @Audio1 for background rhythm, @Image2 for the environmentNo other model offers this level of compositional control.
Upload a reference video and Seedance 2.0 extracts:
Modify existing videos without regenerating from scratch:
Reference an advertisement, film clip, or creative template—Seedance 2.0 replicates the style with your content.
✅ Unmatched control — The @ reference system allows precise direction
✅ Creative flexibility — Combine multiple modalities in one generation
✅ Longest duration — 15 seconds beats most competitors
✅ Production workflows — Edit and extend existing content
✅ Beat-synced editing — Generate music-video-style cuts
❌ Complexity — More inputs means more to manage
❌ Learning curve — Mastering the @ system takes practice
❌ Reference-dependent — Best results require good reference materials
import wavespeed
output = wavespeed.run(
"bytedance/seedance-v2.0/multimodal",
{
"prompt": "@Image1 as first frame, reference @Video1 camera movement",
"images": ["https://example.com/character.jpg"],
"videos": ["https://example.com/reference.mp4"],
"duration": 10
},
)
print(output["outputs"][0])Kuaishou's Kling 3.0 builds on its predecessor's reputation for exceptionally smooth, natural motion. While it lacks Seedance 2.0's multimodal inputs, it excels at generating physically plausible movement from simple prompts.
Kling 3.0's motion brush allows users to paint motion paths directly onto source images, specifying exactly where and how elements should move.
A dedicated mode for complex prompts that processes longer and delivers higher fidelity results.
Strong performance with multiple characters interacting in the same scene, maintaining distinct identities and natural interactions.
✅ Natural motion — Industry-leading smoothness and physical accuracy
✅ Simple workflow — Straightforward prompt-to-video without reference complexity
✅ Asian content — Particularly strong with Asian subjects and environments
✅ Consistent quality — Reliable output across different prompt types
✅ Motion Brush — Unique tool for precise motion control
✅ Fast iteration — Quick generation times enable rapid prototyping
❌ No video reference — Cannot learn motion from reference videos
❌ No audio input — Cannot sync to uploaded audio
❌ Shorter duration — 10 seconds vs 15 for Seedance 2.0
❌ Less compositional control — Fewer inputs means less precision
import wavespeed
output = wavespeed.run(
"kuaishou/kling-3.0/text-to-video",
{
"prompt": "A dancer performs fluid movements in a sunlit studio, camera slowly orbiting",
"duration": 10
},
)
print(output["outputs"][0])