Seedance Video Generation API

Generate AI videos with ByteDance’s Seedance models — text-to-video and multi-input generation via the Runcrate API.

Generate videos using ByteDance’s Seedance models through the Runcrate API. Seedance supports text-to-video, image-to-video, and multi-input generation.

Available models

Model	Speed	Durations	Features
Seedance 1.0 Pro	Medium	2–12s	Multi-input, image-to-video, text-to-video
Seedance 2.0 Fast	Fast	2–8s	Faster generation, text-to-video

---

Text-to-video

Python

from runcrate import Runcrate

client = Runcrate(api_key="rc_live_YOUR_API_KEY")

job = client.models.generate_video_and_save(
    "seedance-demo.mp4",
    model="ByteDance-Seed/seedance-1.0-pro",
    prompt="A golden retriever running through a field of sunflowers in slow motion, "
           "warm afternoon light, shallow depth of field, cinematic",
    duration=6,
    on_status=lambda j: print(f"  {j.status}..."),
)

print("Saved seedance-demo.mp4")

---

Seedance 2.0 Fast — quick iterations

Use the fast model for prototyping before committing to the higher-quality Pro model:

from runcrate import Runcrate

client = Runcrate(api_key="rc_live_YOUR_API_KEY")

job = client.models.generate_video_and_save(
    "quick-test.mp4",
    model="bytedance/seedance-2.0-fast",
    prompt="A cup of coffee with steam rising, top-down view, cozy lighting",
    duration=4,
    on_status=lambda j: print(f"  {j.status}..."),
)

---

Batch video generation

from runcrate import Runcrate
from concurrent.futures import ThreadPoolExecutor

client = Runcrate(api_key="rc_live_YOUR_API_KEY")

scenes = [
    {"file": "intro.mp4", "prompt": "Close-up of hands unboxing a sleek tech product, white background", "duration": 4},
    {"file": "feature.mp4", "prompt": "Smartphone screen showing an app interface, finger scrolling", "duration": 6},
    {"file": "lifestyle.mp4", "prompt": "Person wearing earbuds jogging through a park at sunrise", "duration": 8},
]

def generate(scene):
    client.models.generate_video_and_save(
        scene["file"], model="ByteDance-Seed/seedance-1.0-pro",
        prompt=scene["prompt"], duration=scene["duration"],
    )
    print(f"Done: {scene['file']}")

with ThreadPoolExecutor(max_workers=3) as pool:
    pool.map(generate, scenes)

---

Seedance vs. other video models

Feature	Seedance 1.0 Pro	Veo 3.0	Kling v3
Max duration	12s	8s	15s
Multi-input	Up to 9 images + 3 videos + 3 audio	Text only	Reference video
Best for	Multi-asset creative workflows	Photorealistic 4K	Human motion

---

Tips

• Start with 2.0 Fast for prototyping, switch to 1.0 Pro for final renders.
• Prompt specificity matters — include camera angle, lighting, and motion descriptions.
• Duration: shorter clips (2–4s) are tighter and more focused. Use 8–12s for establishing shots.

Next steps

• Video generation reference
• AI Video Pipeline — batch pipeline with multiple models
• Sora 2 Video API — compare with OpenAI’s video model