
text-to-video
Idle
Your request will cost $0.26 per run.
For $10 you can run this model approximately 38 times.
One more thing::
Seedance 1.5 Pro (T2V) is ByteDance Seed’s production-oriented text-to-video model built for cinematic realism, strong prompt adherence, and high expressive motion. It is designed for ad creatives and short-drama workflows where aesthetic stability, emotion-rich acting, and controllable duration matter.
High-quality prompt alignment
Accurately follows detailed scene descriptions, shot instructions, and emotional tone, producing coherent clips with stable subject and scene intent.
Expressive motion and emotion
Natural motion amplitude and strong rhythm; fine-grained facial expressions and emotional delivery, suitable for drama-like performances and high-impact ads.
Strong aesthetics with live-action realism
A “natural, live-action” leaning look with stable lighting, composition, and color harmony for premium-looking outputs.
Rich effects via prompting
The base model supports a wide variety of visual effects achievable directly through prompting, enabling template-like creative effects without extra tooling.
Flexible duration control (4–12 seconds)
Specify any integer duration from 4s to 12s. Supports Smart Duration (-1) where the model selects an appropriate length within the same range.
Aspect ratio control
Choose either adaptive (model selects the best ratio from the prompt) or explicitly set one of:
16:9, 9:16, 4:3, 3:4, 1:1, 21:9.
prompt (required)
Text description of the scene, style, subject actions, camera motion, and overall mood.
duration
Integer seconds in [4, 12]. Use -1 for Smart Duration (model decides within [4, 12]).
resolution
One of 480p, 720p.
fps
Fixed at 24.
ratio
Use adaptive (model selects a suitable ratio) or set one of: 16:9, 9:16, 4:3, 3:4, 1:1, 21:9.
fixed_camera
Boolean. If true, the camera remains fixed; if false, camera motion is driven by the prompt.
seed
Integer. Controls randomness; the same seed tends to produce more similar outputs. Set -1 to cancel random seed.
camera_fixed = true and describe motion using subject movement rather than camera movement.duration = -1, write prompts with a clear narrative “end beat” (a natural stopping point) so the model has a reason to conclude.