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Transforms images into 1080p videos using advanced ByteDance models for AI artists.
The Siray bytedance_seedance-1.0-pro-i2v-1080p node is designed to transform images into high-quality videos using advanced ByteDance models. This node leverages sophisticated image-to-video conversion techniques to produce videos at a resolution of 1080p, ensuring clarity and detail. It is particularly beneficial for AI artists looking to create dynamic video content from static images, offering a seamless and efficient workflow. The node's primary goal is to provide a user-friendly interface for generating videos that maintain the artistic integrity of the original images while adding motion and depth. By utilizing this node, you can easily convert your creative visions into engaging video formats, enhancing the storytelling potential of your visual projects.
The client parameter is essential for establishing a connection with the Siray API, which facilitates the image-to-video conversion process. It acts as the bridge between your local environment and the remote server where the video generation tasks are executed. This parameter does not have specific minimum or maximum values, as it is typically an object or instance that handles API requests and responses. Ensuring that the client is correctly configured is crucial for the successful execution of the node's functions.
The max_wait_time parameter defines the maximum duration, in seconds, that the node will wait for the video generation task to complete. This parameter is crucial for managing the node's execution time and ensuring that it does not hang indefinitely if the task takes longer than expected. The default value is set to a reasonable duration, but you can adjust it based on the complexity of your task and the expected processing time. There are no strict minimum or maximum values, but setting it too low might result in premature task termination, while setting it too high could lead to unnecessary delays.
The poll_interval parameter specifies the frequency, in seconds, at which the node checks the status of the video generation task. This parameter helps balance the load on the server and the responsiveness of the node. A shorter interval means more frequent status checks, which can lead to quicker updates but may increase server load. Conversely, a longer interval reduces server requests but might delay status updates. The default value is typically set to 5 seconds, providing a good balance between performance and efficiency.
The task_id is a unique identifier assigned to each video generation task. It is crucial for tracking and managing tasks within the Siray API. This identifier allows you to query the status of your task, retrieve results, and handle any errors that may occur during execution. Understanding the task_id is essential for effectively managing multiple tasks and ensuring that you can access the correct outputs.
The url parameter provides the direct link to the generated video once the task is completed. This URL is essential for accessing and downloading the final video output. It serves as the endpoint where the video is stored, allowing you to view or share the content as needed. The URL is typically a string that points to a location on the server where the video file is hosted.
The image_tensor is an optional output that represents the video in a tensor format, which is useful for further processing or analysis within AI frameworks. This output is particularly relevant if you plan to perform additional operations on the video data, such as applying machine learning models or integrating it into other AI-driven workflows. The image_tensor is typically generated when the task type is set to "image," providing a flexible format for advanced users.
client is properly configured and authenticated to avoid connection issues with the Siray API.max_wait_time and poll_interval parameters based on the complexity of your video generation task to optimize performance and responsiveness.task_id to monitor the progress of your video generation tasks and handle any potential errors effectively.client is correctly set up with the necessary authentication credentials.max_wait_time without completing.max_wait_time parameter to allow more time for the task to finish, especially for complex or high-resolution videos.task_id is used to query the task status or retrieve results.task_id returned by the node when the task was created, and double-check for any typographical errors.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.