Documentation Index
Fetch the complete documentation index at: https://runcrate.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
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
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
