Image-to-Video
Overview
The image-to-video
pipeline of the Livepeer AI network allows you to generate
animated high-quality videos from images. This pipeline is powered by the
latest diffusion models in the HuggingFace
image-to-video
pipeline.
Models
Warm Models
The current warm model requested for the image-to-video
pipeline is:
- stabilityai/stable-video-diffusion-img2vid-xt-1-1: An updated version of the stable-video-diffusion-img2vid-xt model with enhanced performance (limited-commercial use license).
For faster responses with different
image-to-video
diffusion models, ask Orchestrators to load it on their GPU via the ai-video
channel in Discord Server.
On-Demand Models
The following models have been tested and verified for the image-to-video
pipeline:
If a specific model you wish to use is not listed, please submit a feature request on GitHub to get the model verified and added to the list.
Basic Usage Instructions
For a detailed understanding of the image-to-video
endpoint and to
experiment with the API, see the Livepeer AI API
Reference.
To generate a video with the image-to-video
pipeline, send a POST
request to
the Gateway’s image-to-video
API endpoint:
In this command:
<GATEWAY_IP>
should be replaced with your AI Gateway’s IP address.model_id
is the diffusion model for video generation.- The
image
field holds the absolute path to the image file to be transformed.
For additional optional parameters, refer to the Livepeer AI API Reference.
After execution, the Orchestrator processes the request and returns the response to the Gateway:
The url
in the response is the URL of the generated video. Download the video
with:
Orchestrator Configuration
To configure your Orchestrator to serve the image-to-video
pipeline, refer to
the Orchestrator Configuration guide.
System Requirements
The following system requirements are recommended for optimal performance:
- NVIDIA GPU with at least 24GB of VRAM.
Recommended Pipeline Pricing
We are planning to simplify the pricing in the future so orchestrators can set one AI price per compute unit and have the system automatically scale based on the model’s compute requirements.
The pricing for the image-to-video
pipeline is based on competitor pricing.
However, we strongly encourage orchestrators to set their own pricing based on
their costs and requirements. Setting a competitive price will help attract more
jobs, as Gateways can set their maximum price for a job. The current recommended
pricing for this pipeline is 1.3563368e-08 USD
per output pixel
(height * width * frames
).
API Reference
API Reference
Explore the image-to-video
endpoint and experiment with the API in the
Livepeer AI API Reference.
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