Seedance 2.0: Complete Guide to Multimodal Video Creation

ByteDance's Seedance 2.0 is one of the most capable video generation models available today, combining image-to-video (I2V), text-to-video (T2V), and precise keyframe control in a single model. If you're building video pipelines — product animations, marketing clips, storytelling sequences — Seedance 2.0 is the benchmark to beat. This guide covers what it does, where it excels, and how to start calling it via the Hypereal API in minutes.

What is Seedance 2

Seedance 2.0 is ByteDance's second-generation multimodal video generation model. It accepts a text prompt, a reference image, or both as inputs, and outputs smooth, cinematically consistent video clips up to several seconds in length.

Unlike earlier diffusion-based video models that treated each frame independently, Seedance 2.0 was trained with explicit temporal consistency objectives. The result is video that holds subject identity, lighting, and motion continuity across the full clip — a problem that plagued first-generation models and made them unusable for commercial work.

Seedance 2.0 sits alongside other leading video models in the market (Kling, Veo, WAN, Hailuo, Vidu), but its keyframe-fidelity and multimodal input handling put it in a class of its own for I2V workflows.

Seedance 2 features

Image-to-video (I2V) with keyframe control. The model's standout capability is turning a static reference image into a smooth video while preserving the subject's visual identity throughout. You can anchor the first frame, the last frame, or both — giving you deterministic start and end states with natural motion in between.

Text-to-video (T2V). Provide a text prompt alone and Seedance 2.0 generates video from scratch. Prompt adherence is strong: spatial relationships, lighting descriptions, and camera motion cues (pan, zoom, dolly) all translate reliably.

Multimodal input. The same endpoint accepts a prompt, an image, or a combined prompt + image. You don't switch models between workflows — one model ID handles everything.

Temporal consistency. Characters, products, and branded assets stay on-model across frames. This makes Seedance 2.0 particularly well-suited for:

• Product demo animations (show the item, animate it)
• Character or avatar walkthroughs
• Real-estate and interior fly-throughs from a single render
• Social media clips that repurpose a hero image

High-motion quality. Fast motion, camera shake, and complex scenes render with less ghosting and fewer artifact blobs than comparable models at similar resolutions.

Seedance 2 API access and pricing

Hypereal offers Seedance 2.0 via its unified AI gateway at https://api.hypereal.cloud/v1. Hypereal buys provider capacity in bulk and passes the savings on — you get access to Seedance 2.0 at a fraction of what it costs to call the provider directly, with no capacity negotiation on your end.

Pricing is credit-based: 100 credits = $1.00 USD. Seedance 2.0 is billed per second of output video, so short clips are cheap and you pay only for what you generate. Check hypereal.cloud for live per-second rates.

New accounts receive free trial credits at signup — enough to run a few test generations before committing to a top-up.

Feature	Hypereal + Seedance 2.0
Model access	Seedance 2.0 (I2V + T2V)
Endpoint base	https://api.hypereal.cloud/v1
Auth	Bearer token (OpenAI-compatible)
Billing	Credits per second of video
Trial credits	Yes, free at signup
Savings vs direct	Fraction of provider list pricing

To get a key: sign up at hypereal.cloud → Dashboard → API Keys → Create Key, then export it:

export HYPEREAL_API_KEY=sk-...

How to use Seedance 2 via API

The Hypereal API is OpenAI-compatible. If you already call any OpenAI or OpenAI-shaped endpoint, you only change the base URL and the key.

cURL — text-to-video

curl -X POST https://api.hypereal.cloud/v1/videos/generate \
  -H "Authorization: Bearer $HYPEREAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2.0",
    "prompt": "A barista pours a slow latte art heart, golden hour light, shallow depth of field, 4K cinematic",
    "duration": 5,
    "resolution": "1280x720"
  }'

Python — image-to-video

import os
import requests
import base64

API_KEY = os.environ["HYPEREAL_API_KEY"]
BASE_URL = "https://api.hypereal.cloud/v1"

# Load your reference image
with open("product_shot.jpg", "rb") as f:
    image_b64 = base64.b64encode(f.read()).decode()

payload = {
    "model": "seedance-2.0",
    "prompt": "The product rotates slowly on a white studio surface, subtle rim lighting",
    "image": image_b64,        # anchor first frame to this image
    "duration": 4,
    "resolution": "1280x720",
}

response = requests.post(
    f"{BASE_URL}/videos/generate",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json=payload,
    timeout=120,
)
response.raise_for_status()
data = response.json()

# Poll or grab direct URL depending on response shape
video_url = data.get("url") or data["data"][0]["url"]
print("Video ready:", video_url)

JavaScript / Node

import fs from "fs";

const res = await fetch("https://api.hypereal.cloud/v1/videos/generate", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.HYPEREAL_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "seedance-2.0",
    prompt: "Aerial drone flyover of a coastal city at sunrise, cinematic motion",
    duration: 5,
    resolution: "1920x1080",
  }),
});

const { url } = await res.json();
console.log("Video:", url);

Generation takes roughly 30–90 seconds depending on duration and resolution. For production pipelines, treat the call as async and poll or use a webhook if your integration supports it.

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FAQ

Can I use Seedance 2.0 alongside other video models on Hypereal? Yes. Hypereal also offers Kling, Veo, WAN, Hailuo, and Vidu under the same endpoint. Swap the model field to switch models; auth and request shape stay the same.

What resolutions does Seedance 2.0 support? Common options include 720p and 1080p. Check the live model card at hypereal.cloud for the full resolution and duration matrix, as these expand with provider updates.

How does per-second billing work? Credits are deducted based on the actual output duration you request. A 4-second clip costs less than an 8-second clip. You're never charged for failed generations.

Is the API OpenAI-compatible? Yes. The base URL and Bearer token header follow the same pattern as the OpenAI API. Most SDKs that accept a custom base_url (openai-python, LangChain, LlamaIndex) will work without code changes beyond the base URL and key.

Where do I see my credit balance? Log in at hypereal.cloud → Dashboard → Credits. Top-ups are instant and there's no minimum commitment.