Seedance 2.0 Mini Reference-to-Video
Seedance 2.0 Mini is ByteDance's faster, lower-cost tier of Seedance 2.0 for cinematic multi-shot video - narrative sequences, AI camera control (zoom/pan/tracking), and consistent characters across scenes, from text or image prompts. 480p-4k, 4-15s, aspect ratios 16:9 / 4:3 / 1:1 / 3:4 / 9:16.
- ab / pro Rendering
- 0,26 €
- Eingabe
- -
- Ausgabe
- Video
[01] Beispiele
Use the chef, copper pot, outfit, and kitchen from <Image 1>. Preserve his exact identity, pose, and environment. He slowly lowers the ladle into the miniature ocean. A tiny wave hits the ladle, and the miniature sailing ship changes direction toward it. The chef gently moves the ladle sideways, realizing the ship is following him. The camera begins with a clean medium shot, pushes toward the pot, then lowers to pot level so the miniature ship fills the foreground while the chef remains visible behind it. Playful Western fantasy, strong scale contrast, realistic miniature water movement…
Diesen Prompt ausprobieren →Use the chef, copper pot, outfit, and kitchen from <Image 1>. Preserve his exact identity, pose, and environment. He slowly lowers the ladle into the miniature ocean. A tiny wave hits the ladle, and the miniature sailing ship changes direction toward it. The chef gently moves the ladle sideways, realizing the ship is following him. The camera begins with a clean medium shot, pushes toward the pot, then lowers to pot level so the miniature ship fills the foreground while the chef remains visible behind it. Playful Western fantasy, strong scale contrast, realistic miniature water movement…
Diesen Prompt ausprobieren →The woman in @Image 1 sits by the window in @Image 2, opens a notebook, looks up at the camera and says: "Let's get started." Calm medium shot, warm daylight.
Diesen Prompt ausprobieren →[02] Technische Daten
[03] Ähnliche Modelle
Die Preise gelten pro Rendering und werden nur bei erfolgreichem Rendering von Ihrem Guthaben abgebucht. Fehlgeschlagene Renderings werden automatisch erstattet. Die Beispiele zeigen, was das Modell kann; Ihr Ergebnis hängt von Ihrem Prompt und Ihren Einstellungen ab.