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/v3/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/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
image	string	Yes	https://d2g64w682n9w0w.cloudfront.net/media/images/1745136833067505009_dqvqnjhd.jpg	-	Image URL for Image-to-Video task
prompt	string	Yes	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	-	Text prompt to guide generation
negative_prompt	string	No	worst quality, inconsistent motion, blurry, jittery, distorted	-	Negative prompt for generation
size	string	No	1280*720	7201280, 1280720	The size of the output.
seed	integer	No	-	-1 ~ 9999999999	Random seed for generation

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Query Parameters

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

LTX Video-0.9.7 I2V 480p SDXL