Seedance 2.0 Fast
Seedance 2.0 Fast is the speed-optimized tier of Seedance 2.0, ~20% cheaper and quicker to render. It supports the full feature set — text-to-video, image-to-video, first+last frame, and multi-modal reference from images, videos, and audio, with synchronized audio — but caps output at 720p (480p/720p). Use it for previz, animatics, and high-volume iteration where you don't need 1080p finals.
Pricing
Input
$0.67 / video
Output
—
Pay only for what you use. No subscriptions, no minimums.
Specs
- Context
- —
- Max output
- 15s
- Latency
- Slow
- Category
- Video
Constraints & limits
Duration
Up to 30s (linear pricing)
Base price
For 5s clip
Auto-refund
On generation failure
The gateway auto-clamps requests to the model's limits where possible.
Quick start
Video generation is async — the sample submits then polls until done or failed (auto-refund on failure).
import os, time, requests
API = "https://api.thalam.ai/v1"
headers = {"Authorization": f"Bearer {os.environ['THALAM_KEY']}"}
# 1. Submit
submit = requests.post(
f"{API}/videos/generations",
headers=headers,
json={
"model": "bytedance/seedance-2.0-fast",
"prompt": "A drone shot over a desert at golden hour.",
"duration": 5,
},
)
task_id = submit.json()["task_id"]
# 2. Poll until done (or auto-refund on failure)
while True:
poll = requests.get(f"{API}/videos/tasks/{task_id}", headers=headers).json()
status = poll["task"]["status"]
if status == "TASK_STATUS_SUCCEED":
print(poll["videos"][0]["video_url"])
break
if status == "TASK_STATUS_FAILED":
print(f"Failed: {poll['task'].get('reason', 'unknown')}")
break
time.sleep(5)Similar models
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