Seedance 2.0 is Now on Segmind: Cinematic AI Video with Omni-Reference Control
Seedance 2.0 by ByteDance is live on Segmind. Generate cinematic AI videos with native audio, multi-shot scripting, and omni-reference control via API.
Short-form video used to be the scrappy underdog of marketing. Today it's the budget line that can't be cut. Demand for AI video generation APIs has tripled in search volume over the past 90 days, and the question teams keep landing on isn't whether to use AI — it's which model is actually good enough.
Seedance 2.0 from ByteDance just raised that bar significantly. It's now live on Segmind.
What is Seedance 2.0?
Seedance 2.0 is ByteDance's latest video generation model, purpose-built for cinematic quality, native audio, and something genuinely new: omni-reference control. You can pass in multiple reference images — a character's face, three different outfits, a specific setting — and direct how they appear throughout the video using a simple tagging system in your prompt (@image1, @image2, etc.). The model handles the rest: motion, lighting, transitions, audio. It's the closest thing to having a creative director embedded in an API.
What makes it stand apart from everything else I've tested is the multi-shot scripting. You can describe individual shots with their own timing, camera movement, and mood — and the model actually follows the script rather than hallucinating a generic interpolation. That alone opens up entirely new categories of production workflows.
What you can build with it
- Marketing agencies: Produce 50 ad variants in a day. Feed in a product image as a reference and generate every hero shot, lifestyle clip, and testimonial-style video you need without a shoot. Vertical, square, and widescreen — all in one API call.
- Film studios and VFX houses: Use multi-shot scripting to run pre-visualization passes before a single camera is rigged. Describe your shot list, generate, iterate in minutes. The 21:9 aspect ratio support means cinematic wide output is native, not cropped.
- Production houses and MCNs: Scale YouTube Shorts, TikToks, and Instagram Reels production without proportional headcount. The model generates native audio alongside video, so you're not stitching together separate tracks from three different tools.
Multi-shot cinematic pre-viz generated with Seedance 2.0 — a 12s thriller scene scripted shot-by-shot.
Get started
Seedance 2.0 is available now on Segmind via API. You can try it at segmind.com/models/seedance-2.0 or call it directly:
import requests
response = requests.post(
"https://api.segmind.com/v1/seedance-2.0",
headers={"x-api-key": "YOUR_API_KEY"},
json={
"prompt": "A confident fashion model walks down a minimalist studio runway...",
"duration": 8,
"aspect_ratio": "16:9",
"generate_audio": True
}
)
with open("output.mp4", "wb") as f:
f.write(response.content)
No setup, no queue management. The response is binary MP4 delivered synchronously. Average generation time is under 2 minutes per video. Pricing is $3 per million output tokens — for a typical 8–10 second clip, you're looking at well under $1 per generation.
If you've been waiting for a video model that doesn't require a custom rig to get production-quality results, this is the one to try. Start here.