LTX Video-0.9.7 LoRA

LTX Video-0.9.7 LoRA is a LTX route built for multi-condition video generation. It turns multiple timed visual conditions and a motion brief into a clip guided at several points in its timeline, giving creators a focused endpoint instead of forcing one generic workflow across materially different production tasks. The route belongs to a family known for audio-visual timing, cinematic motion, and shot-level controllability, so it is best evaluated as a creative system for intentional shots and assets rather than as a one-click novelty generator.

Use this endpoint when the input contract and deliverable match that job exactly. Its documented controls include seed (The seed to use for generation); videos (The video conditions to use for generation); resolution choices (480p, 720p); aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16). Together, these controls help teams plan predictable iterations, compare outputs under stable settings, and connect generation to iterative film, advertising, and social-video workflows without hiding the operational choices that shape the result.

Highlights

• Purpose-built Multi-condition video generation. The route accepts multiple timed visual conditions and a motion brief and produces a clip guided at several points in its timeline; its interface is scoped to that transformation, keeping source assets and creative intent explicit.
• Creative direction. Prompts can describe subject behavior, composition, camera intent, lighting, material, atmosphere, and temporal progression so the result is driven by a shot plan rather than isolated keywords.
• Route-specific control. The request exposes seed (The seed to use for generation); videos (The video conditions to use for generation); resolution choices (480p, 720p); aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16), allowing the same concept to be tested systematically while preserving a repeatable production setup.
• Pipeline-ready output. The generated media asset is returned through the documented asynchronous output contract, which suits review queues, batch iteration, and downstream automation. Editors can review pacing, continuity, lens language, choreography, transitions, temporal artifacts, soundtrack alignment, color response, delivery framing, and cut compatibility before approval.

Pricing

When to Use

Prompt Guide

Start with the desired result, then describe the source relationship, subject action, composition or camera behavior, lighting, style, and timing. For multi-condition video generation, state what must remain stable as clearly as what should change. Use only fields exposed by the schema; the example below is structurally valid for this route.

{
  "prompt": "A vibrant, abstract composition featuring a person with outstretched arms, rendered in a kaleidoscope of colors against a deep, dark background. The figure is composed of intricate, swirling patterns reminiscent of a mosaic, with hues of orange, yellow, blue, and green that evoke the style of artists such as Wassily Kandinsky or Bridget Riley. The camera zooms into the face striking portrait of a man, reimagined through the lens of old-school video-game graphics. The subject's face is rendered in a kaleidoscope of colors, with bold blues and reds set against a vibrant yellow backdrop. His dark hair is pulled back, framing his profile in a dramatic pose",
  "seed": 1,
  "loras": [],
  "images": [
    {
      "strength": 1,
      "image_url": "https://example.com/image_url.jpg",
      "start_frame_number": 0
    },
    {
      "strength": 1,
      "image_url": "https://example.com/image_url.jpg",
      "start_frame_number": 80
    }
  ],
  "videos": [
    {
      "video_url": "https://example.com/source.mp4"
    }
  ]
}

Technical Specs

Related Models

• lightricks/ltx-video-lora/image-to-video