Seedance 2.5 4K on Segmind: native 4K video with synchronized audio

Seedance 2.5 4K is ByteDance Seed's video model, rendering natively at 3840x2160. Generate 4 to 30 seconds from a text prompt, a starting image, or references — images, video or audio — with synchronized native audio, delivered as 10-bit HEVC.

Seedance 2.5 4K is ByteDance Seed's video model, rendering natively at 3840x2160. It turns a text prompt, a starting image, or references — images, video and audio — into a 4-to-30-second clip with synchronized native audio. The detail is generated at full 4K, not upscaled from 1080p, and the file ships in 10-bit colour for grading headroom. The base seedance-2.5 covers 480p to 1080p; this slug renders at native 4K only and runs as an async job.

ModelSeedance 2.5 4KNative 4K video from text or images, with audio.

What it does well

Native 4K detail, generated not upscaled

Seedance 2.5 4K renders at 3840x2160 from the start, so fine texture holds at full resolution instead of softening the way an upscale does. Fast motion and small details stay legible in the same shot. This macro clip ran at native 4K, 24 fps, for 4 seconds.

Native 4K detailfor Seedance 2.5 4K
A ruby-throated hummingbird hovers at an orange trumpet flower in a shaded garden, iridescent green feathers and fast-beating wings crisp in extreme close-up; it slips its slender beak into the bloom, knocks a puff of pollen into the air, then darts upward out of frame. Steady macro shot. Natural sound of humming wingbeats and rustling leaves.
Try it

Iridescent feather barbs and airborne pollen stay crisp at full 4K while the wings blur with fast motion, over ambient wingbeat audio.

Lifelike skin and texture

ByteDance Seed tuned skin, eyes and surface texture to cut the plastic look that gives AI video away. Pores, fine lines and veined hands read like real footage at this resolution. This portrait ran vertically at 9:16 for 4 seconds.

Lifelike skin and texturefor Seedance 2.5 4K
An elderly woman weaves a basket from pale rattan reeds, her weathered hands bending a strand into place; close on her lined face and attentive eyes as she looks down at the work. Steady close-up. Quiet sound of creaking reeds.
Try it

The weaver's lined face and veined hands render with natural micro-texture and light, with no plastic sheen. A tight portrait that names the material reads best.

Cinematic action from a reference video

Pass a reference video and Seedance 2.5 4K carries its camera move and pacing into a scene you describe in the prompt. Cite each clip as @Video 1; up to 10 are supported, and each is billed for its full length on top of the output. This 10-second shot followed a 5-second rooftop parkour reference while the warrior, the colossus and the crashing sound all came from the prompt.

Cinematic action from a reference videofor Seedance 2.5 4K
Follow the camera movement and pacing of @Video 1. A scarred, bearded warrior in battered bronze armor, a burning chain whip wrapped around one forearm, sprints along the rooftops of a crumbling desert palace at sunset as a towering stone colossus smashes the domes behind him. He runs up a carved sandstone wall, flips over a falling beam, lashes the burning chain around the colossus's wrist and swings across a chasm, landing in a roll as debris and embers rain down. Epic, sweeping action, golden dust, deep crashing sound, roaring wind and a war cry.
Try it

The clip keeps the reference's tracking camera and pacing across all ten seconds, with golden dust, deep crashing sound and a war cry in the mix.

Examples to try

The teapot example leads with a reference image, so the model locks the product while the shot plays out.

Reference-guided product consistency

Reference photo of the porcelain teapot

Reference-guided product consistencyfor Seedance 2.5 4K
@Image 1 is the porcelain teapot. Keep its blue-and-white bird-and-branch motif, curved spout and round shape identical. A hand lifts the teapot and pours a thin stream of amber tea into a matching white cup on a pale linen cloth; steam rises from the cup. Static camera. Quiet pouring sound.
Try it

The generated teapot keeps the referenced blue-and-white motif, curved spout and round shape while a hand pours amber tea into the cup. Add up to 30 reference images and name each as @Image 1; reference images and a first frame cannot be combined.

Recommended settings

Start from the quick-preview settings, then raise duration and bitrate for a finished render.

SettingValueWhen to use it
resolution4kFixed on this slug; use the base seedance-2.5 for 480p-1080p
duration4-304 for a fast test; raise it to match your beat, generated in one pass
aspect_ratio16:9 or 9:16Text-to-video; switch to adaptive when you pass a first frame
generate_audiotrueCo-generate dialogue, effects and ambience with the picture
output_codech264For a file that plays in every browser; leave default for 10-bit HEVC
bitrate_modehighMaximum fidelity on a finished render; standard for smaller files
seedfixed valueIterate the same scene; -1 for variety

Good to know

  • A 4K render takes several minutes and runs as an async job: submit the request, then poll the returned job URL for the finished file.
  • The default file is 10-bit HEVC (H.265), which some browsers cannot play. Set output_codec to h264 for an H.264 file that plays everywhere; at 4K that re-encode adds delivery time.
  • References are cited in the prompt as @Image 1, @Video 1 or @Audio 1. Each reference video is billed for its full length, counted at 4K, on top of the output.
  • Content filters block recognizable real faces and copyrighted characters, so avoid a real human face in a first frame.
  • This slug renders at native 4K only. For 480p to 1080p output, use the base seedance-2.5.
  • No independent benchmarks cover 2.5 at launch, so the capability figures are ByteDance Seed's own.

Use it from the API

Send the prompt and settings to the async endpoint, then poll the returned job URL until the 4K clip is ready.

APINative 4K text-to-videoAPI reference
# pip install "segmind>=1.1.0"
# export SEGMIND_API_KEY="YOUR_API_KEY"
import segmind

result = segmind.run(
    "seedance-2.5-4k",
    prompt="A ruby-throated hummingbird hovers at an orange trumpet flower in a shaded garden, iridescent green feathers and fast-beating wings crisp in extreme close-up; it slips its slender beak into the bloom, knocks a puff of pollen into the air, then darts upward out of frame. Steady macro shot. Natural sound of humming wingbeats and rustling leaves.",
    first_frame_url="",
    last_frame_url="",
    reference_images=[],
    reference_audios=[],
    duration=4,
    resolution="4k",
    aspect_ratio="16:9",
    generate_audio=True,
    seed=42,
    return_last_frame=False,
    skip_moderation=False,
    bitrate_mode="standard",
    auto_resize=True,
    output_codec="h264",
)
print(result.get("output"))
# 1. Submit the request; the reply carries its request_id
REQUEST_ID=$(curl -s -X POST "https://api.segmind.com/v2/seedance-2.5-4k" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A ruby-throated hummingbird hovers at an orange trumpet flower in a shaded garden, iridescent green feathers and fast-beating wings crisp in extreme close-up; it slips its slender beak into the bloom, knocks a puff of pollen into the air, then darts upward out of frame. Steady macro shot. Natural sound of humming wingbeats and rustling leaves.",
  "first_frame_url": "",
  "last_frame_url": "",
  "reference_images": [],
  "reference_audios": [],
  "duration": 4,
  "resolution": "4k",
  "aspect_ratio": "16:9",
  "generate_audio": true,
  "seed": 42,
  "return_last_frame": false,
  "skip_moderation": false,
  "bitrate_mode": "standard",
  "auto_resize": true,
  "output_codec": "h264"
}' | jq -r .request_id)

# 2. Check its status until it is COMPLETED
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID/status" \
  -H "x-api-key: YOUR_API_KEY"

# 3. Fetch the result
curl -s "https://api.segmind.com/v2/requests/$REQUEST_ID" \
  -H "x-api-key: YOUR_API_KEY"

Resources

  • #text-to-video
  • #bytedance-seed
  • #model-launch
  • #4k-video
  • #native-audio
AM

Abhilash Mirji

@abhilashmirji

Product engineer at Segmind, shipping new AI models faster than my cats can knock things off the desk. 11+ years turning ambiguous problems into dependable products. Off-call: drumming, scuba diving, and getting outvoted by four cats and two dogs.

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