Catalog/Video/fal

LTX-Video 13B 0.9.8 Distilled

Makes a video from a description

Liveby LTX

Generate long videos from prompts using LTX Video-0.9.8 13B Distilled and custom LoRA

Ask your agent

Say it in your own words. Your agent picks this tool, fills in the details and brings back the answer.

Make a 5-second video with LTX-Video 13B 0.9.8 Distilled of a drone flying over Florianópolis at sunrise.

Make a short video of waves rolling onto a beach at sunset.

Reviews

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How it works

Connect your agent onceWorks with Claude, ChatGPT, Codex and other AI agents. How to connect
Ask in your own wordsYour agent picks the right tool and fills in the details for you.
Pay only when it worksEach use comes out of your balance. If it fails, you aren't charged.

For developersSummary, tool id, API call and input schema

Video generation API by LTX, callable through Superpowers. It costs $0.108 per 5s clip, charged only when the call succeeds. Call it with one API key: POST /v1/run with "tool": "fal.ltxv-13b-098-distilled", or over MCP with run_tool. 89 other providers in this category take the same input and can be compared side by side.

Tool id
Price per call: $0.108 / 5s clip

Call it

Also over MCP as run_tool

curl -X POST https://superpowers.tools/v1/run \
  -H 'Authorization: Bearer $SP_KEY' \
  -d '{"tool":"fal.ltxv-13b-098-distilled","input":{"prompt":""},"idempotency_key":"example-request-1"}'

Input

17 fields · 1 required

{
  "type": "object",
  "required": [
    "prompt"
  ],
  "properties": {
    "aspect_ratio": {
      "type": "string",
      "description": "Aspect ratio of the generated video.",
      "default": "16:9",
      "enum": [
        "9:16",
        "1:1",
        "16:9"
      ]
    },
    "second_pass_skip_initial_steps": {
      "type": "integer",
      "description": "The number of inference steps to skip in the initial steps of the second pass. By skipping some steps at the beginning, the second pass can focus on smaller details instead of larger changes.",
      "default": 5
    },
    "first_pass_num_inference_steps": {
      "type": "integer",
      "description": "Number of inference steps during the first pass.",
      "default": 8
    },
    "second_pass_num_inference_steps": {
      "type": "integer",
      "description": "Number of inference steps during the second pass.",
      "default": 8
    },
    "num_frames": {
      "type": "integer",
      "description": "The number of frames in the video.",
      "default": 121
    },
    "prompt": {
      "type": "string",
      "description": "Text prompt to guide generation"
    },
    "seed": {
      "type": "integer",
      "description": "Random seed for generation"
    },
    "frame_rate": {
      "type": "integer",
      "description": "The frame rate of the video.",
      "default": 24
    },
    "negative_prompt": {
      "type": "string",
      "description": "Negative prompt for generation",
      "default": "worst quality, inconsistent motion, blurry, jittery, distorted"
    },
    "reverse_video": {
      "type": "boolean",
      "description": "Whether to reverse the video.",
      "default": false
    },
    "tone_map_compression_ratio": {
      "type": "number",
      "description": "The compression ratio for tone mapping. This is used to compress the dynamic range of the video to improve visual quality. A value of 0.0 means no compression, while a value of 1.0 means maximum compression.",
      "default": 0
    },
    "expand_prompt": {
      "type": "boolean",
      "description": "Whether to expand the prompt using a language model.",
      "default": false
    },
    "enable_safety_checker": {
      "type": "boolean",
      "description": "Whether to enable the safety checker. Disabling it requires account authorization; unauthorized requests are always checked.",
      "default": true
    },
    "enable_detail_pass": {
      "type": "boolean",
      "description": "Whether to use a detail pass. If True, the model will perform a second pass to refine the video and enhance details. This incurs a 2.0x cost multiplier on the base price.",
      "default": false
    },
    "loras": {
      "type": "array",
      "description": "LoRA weights to use for generation",
      "default": []
    },
    "temporal_adain_factor": {
      "type": "number",
      "description": "The factor for adaptive instance normalization (AdaIN) applied to generated video chunks after the first. This can help deal with a gradual increase in saturation/contrast in the generated video by normalizing the color distribution across the video. A high value will ensure the color distribution i",
      "default": 0.5
    },
    "resolution": {
      "type": "string",
      "description": "Resolution of the generated video.",
      "default": "720p",
      "enum": [
        "480p",
        "720p"
      ]
    }
  }
}