[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 20

Kling 4 is online, supporting up to 15 reference materials and 10 keyframe controls and featuring 10-bit HDR output, but preliminary tests still fall short of Seedance.

Unverified50%
Oct 17

Seedance, Kling, Wan, Veo, Grok Imagine, MiniMax H3 and others are currently mainstream video generation foundation models, trained by different vendors and offered externally via APIs.

Unverified50%
Oct 14

Under the Higgsfield routing, a 5-second Kling 3.0 Pro generation costs about $0.84, and Seedance 720p about $2.31.

Expired50%
Oct 14

In this individual attempt, Kling 3.0 Pro output a resolution of 1920×1080, and Seedance 1280×720.

Expired50%
Oct 14

Under the same static image and camera movement instructions, Kling 3.0 Pro's push-in was too large, causing the red coffee cherry to go out of frame, while Seedance kept the red cherry visible and made the light warmer.

Expired50%
Oct 14

Seedance, Jianying, Hongguo, and Juliang Qianchuan all belong to the ByteDance system, and producers lack alternative options in all four of these links, so their bargaining space is structurally compressed.

Unverified50%
Oct 13

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

Expired50%
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.

Expired50%
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%

13 more timeline events

All Facts (15)

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

Seedance, Kling, Wan, Veo, Grok Imagine, MiniMax H3 and others are currently mainstream video generation foundation models, trained by different vendors and offered externally via APIs.

50%
Unverified

Seedance, Jianying, Hongguo, and Juliang Qianchuan all belong to the ByteDance system, and producers lack alternative options in all four of these links, so their bargaining space is structurally compressed.

50%
Unverified

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

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

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 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

Cdance 2.5 is ByteDance's video generation model that can convert static images and text scripts into short video clips, supporting camera motion control and multi-segment splicing.

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%
Unverified

Kling 4 is online, supporting up to 15 reference materials and 10 keyframe controls and featuring 10-bit HDR output, but preliminary tests still fall short of Seedance.

50%

Source Articles