WaveSpeedAI APILTX Video-0.9.7 I2V 720p

LTX Video-0.9.7 I2V 720p

Generate videos from prompts and images using LTX Video-0.9.7

Features

ltx-video-v097/i2v-720p is the first DiT-based video generation model capable of generating high-quality videos in real-time.Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content.

Key Features

  • High-Quality Output: Leveraging advanced 3D VAE technology, the model ensuring high-resolution video quality without compromising performance or temporal consistency.
  • Hardware Optimization and Compatibility: The model is optimized for widely used GPUs and runs efficiently across a range of hardware platforms, with particular optimization for NVIDIA RTX series GPUs.
  • Open Source: LTX-Video allows developers and researchers to freely access and modify the code to suit various application needs, with the flexibility to extend it for generating longer video content.

ComfyUI

ltx-video-v097/i2v-720p Reference to Video is available on ComfyUI, providing local inference capabilities through a node-based workflow, ensuring flexible and efficient image generation on your system.

Use Cases

  • Digital influencers & avatars
  • Story-driven video characters
  • Personalization in marketing

Accelerated Inference

Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v2/wavespeed-ai/ltx-video-v097/i2v-720p" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "image": "https://d2g64w682n9w0w.cloudfront.net/media/images/1745136833067505009_dqvqnjhd.jpg",
    "prompt": "A confident young tech professional standing in a modern office space, talking to the camera with calm gestures. Soft daylight, clean environment, business casual outfit, focused expression. Center frame, smooth motion",
    "negative_prompt": "worst quality, inconsistent motion, blurry, jittery, distorted",
    "size": "1280*720"
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v2/requests/${requestId}/status" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYeshttps://d2g64w682n9w0w.cloudfront.net/media/images/1745136833067505009_dqvqnjhd.jpg-Image URL for Image-to-Video task
promptstringYesA confident young tech professional standing in a modern office space, talking to the camera with calm gestures. Soft daylight, clean environment, business casual outfit, focused expression. Center frame, smooth motion-Text prompt to guide generation
negative_promptstringNoworst quality, inconsistent motion, blurry, jittery, distorted-Negative prompt for generation
sizestringNo1280*720720*1280, 1280*720The size of the output.
seedintegerNo--1 ~ 9999999999Random seed for generation

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Query Parameters

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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