ripple ltx25 工作流程

從 ModelTrends 匯入

Edit a whole video by describing one change. Say what to change - "make the jacket red", "add snow", "replace the man with the person in my reference image" - and the entire clip follows your edit while keeping the original motion, timing and camera. Built on Qwen Image 2.1 (the first-frame edit) and LTX 2.5 with the LTX Ripple add-on. YOUR FRAME OR OURS: say what to change in the prompt and the first frame is edited for you (costs about 10 to 20 seconds of render time at 1 megapixel). Or skip the prompt and give your own finished first frame in image1: it is used as is, with no AI edit. AUDIO: by default your original sound is NOT kept. The model makes new sound that follows the original timing, but any speech in it comes out garbled. To keep your original audio, set audio preservation to 1 (see settings below). HOW TO USE IT IN TELEGRAM 1. Send the video you want to edit to the chat. 2. Reply to it with: /wf /run:ripple-ltx25 make the jacket red To bring in a person or object, add a reference image and mention it in the prompt: /wf /run:ripple-ltx25 /image1:nickname replace the main subject with the man in IMAGE 1, including his suit (upload the picture first with /upload /new:nickname) Already edited the first frame yourself? Upload it, add it as image1 and leave the prompt out: /wf /run:ripple-ltx25 /image1:myframe Your frame is used as is and no render time is spent on an AI edit. SETTINGS Required: - Video: reply to it in the chat. - Either a prompt (what to change), or

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Easy Creator (Prism) 網頁應用程式

專業工作室 (SpyGlass) 網頁應用程式

Discord 機器人 (Vector) Discord

Unified Editor 網頁應用程式

PirateDiffusion Telegram API 任何語言

選項

選項	映射至	預設
`(prompt)`	Prompt text	—
`/run:ripple-ltx25`	Workflow shortcode	ripple-ltx25

使用的模型

ripple ltx25 模型由 ModelTrends 透過短碼 /run:ripple-ltx25 匯入在 ModelTrends 查看

給開發者（可選）

API 範例程式碼。你可以用此工作流程建立個人使用的應用程式。準備部署時請升級為商業方案。詳見完整渲染 API 文件。

curl https://cloud.graydient.ai/api/v3/render/ \
  -X POST \
  -H "Content-Type: application/vnd.api+json" \
  -H "Accept: application/vnd.api+json" \
  -H "Authorization: Bearer $GRAYDIENT_TOKEN" \
  -d '{
    "prompt": "/workflow /run:ripple-ltx25 ",
    "callback_url": "https://example.com/webhook/render"
  }'

這是幕後運作方式。這已經為你設定好。上表中的參數會插入這些位置，讓你能改變運作方式及載入的模型。你不必理解或修改它——它已經能正常運作。

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