Updated: May 12, 2026
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This workflow is designed as a Prompt Relay director for LTX 2.3 storytelling, dual-character dialogue, and dual-character LoRA prompt formatting. Its main purpose is not to generate the video directly, but to help creators turn messy ideas, rough Chinese notes, images, storyboard grids, short dialogue drafts, or incomplete scene concepts into a clean LTX 2.3 Prompt Relay format using only two fields: global_prompt and local_prompts.
The workflow uses an LLM API node as the prompt director. It can analyze uploaded images, multiple images, rough prompts, short Chinese phrases, dialogue ideas, style requests, duration requirements, no-dialogue instructions, and storyboard-style references. After analyzing the input, it restructures everything into a usable Prompt Relay prompt that is much easier to paste into an LTX 2.3 video workflow.
The core value of this workflow is standardization. Many LTX 2.3 video failures are not caused by the model alone, but by prompts that mix global rules, timeline events, dialogue, camera instructions, sound design, and negative restrictions in the wrong place. This workflow separates those elements clearly. The global_prompt locks the full-video anchors: scene, character identities, left-right placement, costumes, props, lighting, camera baseline, sound atmosphere, dialogue status, and stability restrictions. The local_prompts only describe time-specific events: actions, gestures, reactions, camera movement, object changes, dialogue lines, and timed sound effects.
This is especially useful for dual-character LoRA scenes. Two-person video generation is difficult because characters may swap sides, merge, change style, lose identity, or produce chaotic body movement. This workflow forces the prompt to lock left-right positions, stable identities, stable character styles, natural eye contact, controlled gestures, and medium two-shot camera logic. It also adds restrictions such as no face swapping, no duplicated characters, no extra people, no wrong mouth movement, no mismatched lip sync, no subtitles, no screen text, no watermark, no jump cuts, and no random costume or style changes.
The workflow also handles dialogue intelligently. If the user provides dialogue, the prompt director shortens and rewrites it into natural Mandarin lines suitable for lip sync. If the user does not ask for dialogue, it does not force speaking. If the user explicitly requests silence, roaring, breathing, sound effects, or no dialogue, the workflow generates a no-dialogue version with action, ambience, and sound effects instead.
The timing rules are also built into the workflow. A 5-second scene is divided into four segments, a 10-second scene into four larger segments, and a 20-second scene into five segments. This makes the final result easier to control because each segment has one main event instead of a chaotic pile of actions.
This workflow is useful for AI short drama prompts, two-character dialogue scenes, virtual influencer clips, fantasy conversations, anime/live-action mixed scenes, creature interaction scenes, and LTX 2.3 Prompt Relay testing. If you want to see how this prompt director converts rough ideas into clean global_prompt and local_prompts fields, watch the full tutorial from the YouTube link above.
⚙️ Try the Workflow Online
👉 Workflow: https://www.runninghub.ai/post/2048717560673214466/?inviteCode=rh-v1111
Open the link above to run the workflow directly online and view the generation results in real time.
If the results meet your expectations, you can also deploy it locally for further customization.
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📺 Bilibili Updates (Mainland China & Asia-Pacific)
If you are in Mainland China or the Asia-Pacific region, you can watch the video below for workflow demos and a detailed creative breakdown.
📺 Bilibili Video: https://www.bilibili.com/video/BV1DT9zBbEZu/
I will continue updating model resources on Quark Drive:
👉 https://pan.quark.cn/s/20c6f6f8d87b
These resources are mainly prepared for local users, making creation and learning more convenient.
⚙️ 在线体验工作流
👉 工作流： https://www.runninghub.ai/post/2048717560673214466/?inviteCode=rh-v1111
打开上方链接即可直接运行该工作流，实时查看生成效果。
如果觉得效果理想，你也可以在本地进行自定义部署。
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📺 Bilibili 更新（中国大陆及南亚太地区）
如果你在中国大陆或南亚太地区，可以通过下方视频查看该工作流的实测效果与构思讲解。
📺 B站视频： https://www.bilibili.com/video/BV1DT9zBbEZu/
我会在 夸克网盘 持续更新模型资源：
👉 https://pan.quark.cn/s/20c6f6f8d87b
这些资源主要面向本地用户，方便进行创作与学习。