LTXV Text to Video
Generate videos from text prompts.
简介
This ComfyUI workflow turns a written prompt into a short video using the LTX-0.9.5 text-to-video checkpoint. It starts by loading the model and text encoder with CheckpointLoaderSimple and CLIPLoader, then converts your prompt and optional negative prompt into embeddings via CLIPTextEncode. Those embeddings are adapted for video with LTXVConditioning so the model can synthesize temporally coherent motion from your text description.
你需要提供
- 正在读取工作流
在 ComfyUI 中运行。 此工作流无法在本页面运行。你可以在 Comfy Cloud 中打开（已预先加载所需内容），或下载后在自己的 ComfyUI 中使用。
在 Cloud 中试用常见问答
LTX-0.9.5 relies on rich textual conditioning to drive both appearance and motion. Brief prompts often lack detail about subject, setting, and dynamics, leading to generic or unstable video. Describe who/what, where, lighting, motion, and camera behavior.
CheckpointLoaderSimple loads the LTX-0.9.5 text-to-video checkpoint. CLIPLoader loads the CLIP text encoder used by CLIPTextEncode to turn your text and negative text into embeddings for LTXVConditioning.
Length is frames divided by FPS (set in EmptyLTXVLatentVideo and CreateVideo). Increase frames for longer clips. Smoother motion often benefits from more frames and careful prompting; you can also test different samplers in KSamplerSelect and adjust steps in SamplerCustom.
Add targeted negatives (e.g., "motion smear, motion artifacts"), try a different sampler, and tune steps/CFG in SamplerCustom. Reducing resolution can help stability; once the motion looks good, scale up cautiously. Ensure width/height are multiples of 16.