[KongchangAI]
Product

Seedance

Seedance is an AI video generation product developed by ByteDance that enables users to generate high-quality video content from text or image inputs. Built on deep learning technology, it features strong dynamic scene generation capabilities, simulating realistic motion effects and visual details. The product is applicable across multiple domains including content creation, advertising production, and film and television assistance.

Core Facts

Timeline (last 90 days)

Oct 13

SmophyAI's Video Studio uses Seedance and Kling to create AI videos, supporting text-to-video and video ads.

Unverified50%
Oct 12

The Seedance API blocks processing of real-person content, banning real-person videos.

Unverified50%
Oct 3

A tweet stated that Seedance's integration into Computer is quite impressive for marketing and brand teams.

Unverified50%
Sep 24

A large number of AI manga tutorial videos have appeared on Bilibili, marketed with the selling point of "ComfyUI + Seedance open-source local deployment," claiming no API is needed, no censorship, and one-click video generation for beginners

Expired50%
Sep 24

Compared to Seedance 2.0, Seedance 2.5 supports longer durations but consumes several times more credits, while 2.0 is more credit-efficient and the quality difference between 2.5 and 2.0 is minimal.

Unverified50%
Sep 24

The content creator recommends that beginners prioritize using Seedance 2.0, as it offers better overall cost-effectiveness and is more beginner-friendly.

Unverified50%
Sep 22

The course primarily recommends Seedance 2.0 rather than 2.5, on the grounds of minimizing costs while ensuring quality results.

Unverified50%
Sep 22

Jimeng's Seedance video model and Seedream image model can be called within the desktop version of the Doubao app.

Expired60%
Sep 22

The current mainstream AI video generation uses an all-reference mode, with the key operational points being to write prompts clearly in segments and annotate each reference image one by one using the @ symbol.

Unverified50%
Sep 19

In the AI video character-transfer space, Seedance and MiniMax dominate and are among the few models currently capable of high-quality character transfer.

Expired50%

6 more timeline events

All Facts (13)

Verified

Seedance 2.0是字节跳动旗下的AI视频生成模型

80%
Verified

Willison pasted the generated image into Codex running GPT-6 Astra (high) and instructed it to create a 3D model using the local Blender skill.

65%
Unverified

SmophyAI's Video Studio uses Seedance and Kling to create AI videos, supporting text-to-video and video ads.

50%
Unverified

The Seedance API blocks processing of real-person content, banning real-person videos.

50%
Unverified

A tweet stated that Seedance's integration into Computer is quite impressive for marketing and brand teams.

50%
Unverified

Compared to Seedance 2.0, Seedance 2.5 supports longer durations but consumes several times more credits, while 2.0 is more credit-efficient and the quality difference between 2.5 and 2.0 is minimal.

50%
Unverified

The content creator recommends that beginners prioritize using Seedance 2.0, as it offers better overall cost-effectiveness and is more beginner-friendly.

50%
Unverified

The course primarily recommends Seedance 2.0 rather than 2.5, on the grounds of minimizing costs while ensuring quality results.

50%
Unverified

The current mainstream AI video generation uses an all-reference mode, with the key operational points being to write prompts clearly in segments and annotate each reference image one by one using the @ symbol.

50%
Unverified

Mainstream text-to-video models (including Seedance, Kling, Sora, etc.) are all based on the diffusion Transformer architecture; each generation is an independent random sampling, and two generations with the same prompt can produce significantly different results.

50%
Unverified

ArcReel integrates several mainstream generative models, including Nano Banana 2, Veo 3.1, Grok, Seedance, and OpenAI-related models.

50%
Unverified

图生视频的失败几乎都发生在最后一秒,模型会突然snap向参考图导致脸部变形、透视跳变或用白光掩盖生硬过渡

50%
Unverified

图生视频的失败几乎都发生在最后一秒,模型在结尾会猛地snap到参考图导致脸部变形、透视跳变

50%

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