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Generates high-quality 1080p videos from text prompts quickly using ByteDance AI models.
The Siray bytedance_seedance-1.0-pro-fast-t2v-1080p node is designed to facilitate the generation of high-quality videos from text prompts using ByteDance's advanced models. This node is part of a suite of tools that leverage AI to transform textual descriptions into dynamic video content, offering a seamless and efficient way to create visual narratives. The "pro-fast" version of the model is optimized for speed, allowing for quicker video generation without compromising on quality, making it ideal for projects that require rapid turnaround times. With support for resolutions up to 1080p, this node is well-suited for producing professional-grade video content that can be used in various creative and commercial applications. By utilizing this node, you can harness the power of AI to bring your textual ideas to life in a visually compelling format.
The client parameter refers to the client instance used to interact with the ByteDance API. It is essential for establishing a connection and sending requests to the API for video generation tasks. This parameter does not have a default value and must be provided to ensure the node functions correctly.
The max_wait_time parameter specifies the maximum duration, in seconds, that the node will wait for the video generation task to complete. This parameter helps manage the node's execution time, ensuring that it does not wait indefinitely for a response. The default value is set to a reasonable duration, but it can be adjusted based on the expected complexity and size of the video task.
The poll_interval parameter determines the frequency, in seconds, at which the node checks the status of the video generation task. A shorter interval allows for more frequent status updates, while a longer interval reduces the number of API calls. The default value is 5 seconds, providing a balance between responsiveness and resource usage.
The task_type parameter indicates the type of task being executed, which in this case is "video." This parameter is crucial for the node to correctly process the task and generate the appropriate output. It is a fixed value for this node, as it is specifically designed for text-to-video conversion.
The task_id is a unique identifier assigned to each video generation task. It is used to track the task's progress and retrieve the final output once the task is completed. This ID is essential for managing multiple tasks and ensuring that the correct results are returned to the user.
The url parameter provides the location of the generated video once the task is completed. It is a direct link to the video file, allowing you to download or stream the content as needed. This output is crucial for accessing the final video product created by the node.
The image_tensor is an optional output that represents the video content in a tensor format, which can be used for further processing or analysis within AI frameworks. This output is particularly useful for users who wish to integrate the video content into machine learning pipelines or perform additional transformations.
max_wait_time and poll_interval parameters based on the complexity of your video task. For larger or more detailed videos, consider increasing the max_wait_time to allow sufficient processing time.max_wait_time.max_wait_time parameter to allow more time for the task to complete, especially for complex or high-resolution videos.task_type parameter is set to "video" as this node is specifically designed for text-to-video tasks.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.