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convert mp4 to gif on ubuntu

ffmpeg -i formula-ocr-step3.mp4 -r 15 -vf "scale=680:-1" formula-ocr-step3.gif

convert images to webp:

for file in *.png *.jpeg .jpg; do cwebp "$file" -o "${file%.}.webp"; done for file in .mp4;do ffmpeg -i "$file" -c:v libvpx-vp9 -crf 32 -b:v 0 -cpu-used 4 -c:a libopus "${file%.}.webm"; done

batch replace to .webp

/assert/models/(.*).(png|jpe?g|webp) -> https://cdn.z-image.app/models/$1.webp

TODO

用户痛点收集

  • 自动化转换与重定向(Retargeting)

    • 骨骼绑定(Rigging) 预设骨骼支持:直接支持导出适配 Unity Humanoid、Unreal Engine 5 Manny/Quinn、Mixamo 的格式
    • 重定向(Retargeting):,让生成的动作能自动适配到用户上传的常见模型(如 Mixamo 骨骼、UE5 Mannequin、VRM 模型)上
  • 非人类模型 human motion

  • 转换为视频

  • 连贯性问题:AI 生成的动作往往是片段式的。如果用户需要“先走路,然后停下,再挥手”,目前的模型可能很难一次性生成流畅的长序列。你可能需要开发“动作融合”功能

  • Planning

    • multiple language support
  • Implementation

    • Create components/models-ui directory
    • Implement ModelSelector
  • Verification

    • Verify UI responsiveness and aesthetics
    • Verify logic (Model inputs, validation, API integration)
  • UI Improvements

    • playground history
    • canvas Loop / Play / Pause 控制按钮
  • Function complete(功能完备性)

    • contact page submit
  • Performance: https://pagespeed.web.dev/analysis/https-z-image-app/7gz67k5eoh?form_factor=mobile

    • improve performance
  1. prompts
  2. gallery

competitors

background

domain: z-image.app

model information:

dev commands

wsl 开发

pnpm next dev -H 0.0.0.0

prisma

pnpm add -D prisma pnpm add @prisma/client pnpm prisma generate # 生成 prisma client

prisma change schema

1. 基于修改后的 schema.prisma 生成迁移文件

npx prisma migrate dev --name 描述这次改动的名字

vercel deploy build config

pnpm prisma generate && pnpm build

google auth: https://console.cloud.google.com/auth/clients/create?hl=zh-cn&project=gen-lang-client-0746857282

pnpm add next@15.3.6 react@19.1.2 react-dom@19.1.2

踩坑记录

  1. favicon 保留svg格式
  2. cludflare 关闭 ai crawl control

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