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models

Vidu Models

Vidu is Shengshu Technology's advanced AI video generation model, distinguished by its exceptional subject consistency and creative control. The Vidu collection includes Vidu Q1 Reference to Video — which generates high-quality video from a reference image while maintaining precise subject identity and appearance throughout the sequence, making it ideal for character-driven content, product showcases, and any workflow where visual consistency matters — and Vidu Template for standardized, template-driven video creation that enables repeatable, on-brand content at scale. Vidu models are particularly strong at human motion quality, facial expression rendering, and natural body dynamics — producing videos where subjects look and move authentically rather than like AI-generated approximations. The reference-to-video capability is especially valuable for e-commerce brands (animate product photos consistently), content creators (maintain character identity across multiple videos), and marketing teams (produce personalized video content from a single reference image at scale). On Segmind, all Vidu models are available as pay-per-use APIs — generate reference-consistent video with a single endpoint call, no subscriptions or model hosting required. Integrate into Segmind Workflows to automate complete video production pipelines from image to finished video.

Search: vidu
Image To Video

Luma Ray 3.2

0.0s
Image To Video

Grok Imagine Video 1.5 (Preview)

0.0s
Text To Video

Grok Imagine Video

0.0s
Video To Text

HeyGen Avatar V — Create Avatar

0.0s
Text To Video

HeyGen Avatar V

0.0s
Image To Video

Pixverse Mimic

0.0s
Text To Embed

Gemini Embedding 2

0.0s
LLM

Gemini 3.1 Pro

0.0s
Image To Video

HappyHorse 1.0

0.0s
Image To Video

Seedance 2.0 Fast

116.9s
Image To Video

Seedance 2.0

189.3s
Video To Video

Wan 2.7 Video Editing

362.1s
Image To Video

Wan 2.7 Reference to Video

490.9s
Image To Video

Wan 2.7 Image to Video

483.8s
Text To Video

Wan 2.7 Text to Video

302.8s
Image To Video

Pixverse V6

63.9s
Image To Video

Veo 3.1 Lite

49.5s
LLM

QVQ Max

27.6s
LLM

Qwen 3 VL Plus

7.1s
LLM

Qwen 3.5 Plus

17.1s
LLM

Qwen 3.5 Flash

31.6s
Image To Video

Kling O3 Image To Video

202.5s
Video To Video

Kling O3 Video To Video Edit

202.4s
Image To Image

Kling V3 Image 2 Image

68.9s
Video To Video

Kling O3 Video To Video Reference

224.7s
Text To Video

Kling O3 Text-to-Video

153.5s
Image To Video

HyperSwap: Video Faceswap by FaceFusion Labs

55.4s
Image To Video

Wan 2.2 Image to Video Flash

66.9s
Image To Video

Kling 3.0 Pro Image-to-Video

291.4s
Image To Video

Kling 3.0 Standard Image-to-Video

150.6s
Text To Video

Kling 3.0 Pro Text-to-Video

297.2s
Text To Video

Kling 3.0 Standard Text-to-Video

145.3s
Text To Video

LTX-2-19B I2V

113.2s
Text To Video

LTX-2-19B T2V

100.9s
Image To Video

Kling O1 Reference Image 2 Video

197.4s
Video To Video

Kling O1 Video 2 Video Reference

239.7s
Image To Video

Kling O1 Image 2 Video

143.4s
Video To Video

Kling O1 Video 2 Video Edit

250.3s
Image To Image

Kling O1

59.5s
Image To Video

Kling V2 Pro Avatar

779.5s
Image To Video

Kling Avatar V2 Standard

498.7s
Video To Video

Kling 2.6 Pro Motion Control

595.5s
Video To Video

Kling 2.6 Standard Motion Control

575.6s
Image To Video

Kling 2.6

122.4s
Image To Video

Heygen Avatar IV

215.8s
Image To Video

Seedance 1.5 Pro

99.5s
Video To Video

LTX Retake Video

38.5s
Video To Video

Bria Video Eraser

120.8s
Image To Video

Wan 2.6 Image To Video

137.2s
Video To Video

Sync.so React 1

347.6s