What is Dreamina Seedance 2.0?
Dreamina Seedance 2.0 is ByteDance's second-generation text-to-video model, built by its Seed research team. The same Seedance 2.0 engine powers ByteDance's consumer apps — CapCut and Dreamina (formerly Jimeng AI) — and is exposed for developers through API resellers like GPTProto. On this page the model runs in text-to-video mode: you send a prompt, it returns a finished clip with audio generated in the same pass.
What separates Seedance 2.0 from the 1.x line is one-pass audio-visual generation. Dialogue, sound effects, ambient noise, and music are produced together with the picture in a single generation — no separate audio step, no stitching. The model keeps a character's identity, features, and style consistent across shots, which is the part most short-form pipelines actually struggle with.
On GPTProto you reach dreamina-seedance-2-0-260128 with one model string and your existing balance, so you can route between Dreamina Seedance 2.0, Doubao Seedance 2.0, Sora 2, and Veo 3 without separate accounts or regional sign-up gates.
Specifications
| Field | Value |
|---|---|
| Provider | ByteDance (Seed team); BytePlus / Volcano Engine stack |
| Web model id | dreamina-seedance-2-0-260128 |
| Input modes | Text-to-video, image-to-video, reference-to-video |
| Inputs accepted | Text, image, video, audio (mode-dependent) |
| Output | Video with native synchronized audio (single pass) |
| Duration | 4–15 s |
| Resolution | 480p / 720p / 1080p |
| Aspect ratio | See ratio table on page (16:9 default) |
| Audio | generate_audio toggle |
| Provenance | C2PA metadata + invisible watermark, enforced via API same as the apps |
Three ways to drive it: text, image & reference
Dreamina Seedance 2.0 exposes three generation endpoints under the same model id. Each takes the same core controls — aspect_ratio, duration, resolution, generate_audio, camera_fixed, seed — and differs only in what you feed it.
Text-to-video — prompt in, clip out. Endpoint: POST /api/v3/doubao/dreamina-seedance-2-0-260128/text-to-video
Image-to-video — animate a still; optionally pin a last_image to control the end frame. Endpoint: POST /api/v3/doubao/dreamina-seedance-2-0-260128/image-to-video
Reference-to-video — pass arrays of images, videos, and audios as references for character and style continuity. Endpoint: POST /api/v3/doubao/dreamina-seedance-2-0-260128/reference-to-video
All three use the same bearer auth and the same submit-and-poll flow shown below — only the input fields change.
Dreamina Seedance 2.0 vs Sora 2, Veo 3 & Doubao Seedance 2.0
All four run on GPTProto under one balance, so the real question is which to route each job to. Prices below are on-site, per run.
| Dreamina Seedance 2.0 | Doubao Seedance 2.0 | Sora 2 | Veo 3 | |
|---|---|---|---|---|
| Maker | ByteDance | ByteDance | OpenAI | Google DeepMind |
| Same core engine? | — | Yes (Doubao route) | No | No |
| Native audio | Yes, single pass | Yes | Yes | Yes |
| Input modes | text / image / reference | text / image / reference | text / image | text / image / reference |
| Max duration | 15 s | 15 s | 12 s | 8 s |
| GPTProto price/run | from $0.2957 | $0.2957 | $0.40 | $0.48 |
| Reach for it when | lowest per-run cost; 3 input modes | same engine, Doubao defaults | OpenAI-native generation | 4K + cinematic control |
Honest read: Dreamina Seedance 2.0 and Doubao Seedance 2.0 are the same ByteDance generation via two brand routes — identical $0.2957/run, differing in platform defaults, not output ceiling. Across these four, Seedance is the lowest per-run option and the only one here with three distinct input modes (text, image, multimodal reference). Veo 3 ($0.48/run) is the pick when you need 4K and tight cinematic control; Sora 2 ($0.40/run) for OpenAI-native generation. A common pattern is drafting on Seedance, then re-rendering the chosen take on a pricier model.
For half-cost drafts, dreamina-seedance-2-0-fast-260128 runs $0.2365/run.
Switching from CapCut / Dreamina to the API
If you've been generating inside CapCut or the Dreamina app, the API drops the per-app sign-up and regional rollout limits without a new SDK to learn. Point your client at https://gptproto.com/api/v3, send your key as a bearer token, and POST to the dreamina-seedance-2-0-260128 task endpoint. One balance then covers every other model, so you can A/B Seedance against Sora 2 or Veo 3 in the same job runner.
Prompt Recipes
Seedance 2.0 responds to explicit, ordered direction: style, then subject, then camera, then lighting, then motion.
- Product hero (locked camera):
cinematic; matte-black wireless earbuds on wet slate, water droplets; locked-off static shot; soft studio key light from left; slow condensation forming— setcamera_fixed: true. - Character short (push-in):
anime style; a courier cycling through a rainy neon alley at night; slow push in; reflections on the road; ambient rain and distant traffic— keepgenerate_audio: truefor the ambient bed. - Reference-driven continuity: Pass two character stills in
images[]and promptsame character, new shot: walking through a morning market, handheld follow— the reference mode holds identity across the cut better than a fresh text prompt.
State camera moves literally ("slow push in", "tracking shot", "locked off") and name the lighting directly. Vague prompts drift; specific ones hold.
What to expect: speed, audio & aspect ratios
Generation time. Because clips render asynchronously, plan for a wait, not an instant response. Standard shorts return quickest; long 15-second clips with multiple references take the longest — size your polling interval and any progress UI accordingly.
Audio. With generate_audio: true the model writes dialogue, effects, ambient sound, and music to match the picture in the same pass. Set it false for a silent clip when you'll mix your own track — common for music videos or branded content with a fixed audio bed.
Aspect ratio. Pick the target ratio at submit time rather than cropping afterward; the model frames the action for the canvas it's given. 16:9 is the default; the full ratio list is in the on-page table.
