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Enhance video content with relighting effects for creative transformations and consistent lighting across frames.
The Light_A_Video_Sampler
is a specialized node designed to enhance video content by applying relighting effects. This node leverages advanced video processing techniques to adjust the lighting conditions of a video, allowing for creative transformations that can enhance the visual appeal or match specific artistic intentions. By utilizing this node, you can seamlessly integrate relighting effects into your video projects, providing a powerful tool for AI artists to experiment with different lighting scenarios without the need for reshooting or complex post-production processes. The node is particularly beneficial for creating consistent lighting across video frames, ensuring a cohesive look and feel throughout the video sequence.
The model
parameter specifies the machine learning model used for processing the video. This model is responsible for interpreting the input video data and applying the desired relighting effects. The choice of model can significantly impact the quality and style of the output video, as different models may have varying capabilities and strengths in handling video data.
The images
parameter refers to the input video frames that will be processed by the node. These frames serve as the canvas on which the relighting effects will be applied. The quality and resolution of the input images can affect the final output, so it is important to provide high-quality frames for optimal results.
The relight_prompt
parameter allows you to specify the desired lighting conditions or effects you wish to achieve in the video. This prompt guides the node in adjusting the lighting to match the specified conditions, enabling you to create specific moods or atmospheres in your video content.
The inpaint_prompt
parameter is used to define areas within the video frames that require inpainting, a process of filling in missing or corrupted parts of the image. This can be useful for correcting imperfections or enhancing specific regions of the video.
The n_prompt
parameter is a numerical value that influences the node's processing behavior. It can be used to adjust the intensity or strength of the relighting effects applied to the video, allowing for fine-tuning of the output.
The seed
parameter is used to initialize the random number generator, ensuring that the relighting effects are reproducible. By setting a specific seed value, you can achieve consistent results across multiple runs of the node.
The num_step
parameter determines the number of processing steps the node will perform. More steps can lead to more refined and detailed relighting effects, but may also increase the processing time.
The strength
parameter controls the intensity of the relighting effects applied to the video. A higher strength value results in more pronounced lighting changes, while a lower value produces subtler effects.
The text_guide_scale
parameter adjusts the influence of textual prompts on the relighting process. This allows you to balance the impact of text-based guidance with other input parameters, providing greater control over the final output.
The width
parameter specifies the width of the output video frames. This can be used to resize the video to meet specific requirements or to match the aspect ratio of the input frames.
The height
parameter specifies the height of the output video frames. Similar to the width parameter, it allows for resizing the video to achieve the desired dimensions.
The bg_target
parameter defines the target background lighting conditions for the video. This can be used to ensure that the background lighting is consistent with the overall relighting effects applied to the video.
The mask_repo
parameter is used to specify a repository of masks that can be applied to the video frames. These masks can be used to selectively apply relighting effects to specific areas of the video, providing greater control over the final output.
The relight_video
parameter is the primary output of the node, representing the video with the applied relighting effects. This output video reflects the changes made based on the input parameters, showcasing the enhanced lighting conditions and any other specified transformations.
relight_prompt
values to achieve various lighting effects and moods in your video projects.strength
parameter to control the intensity of the relighting effects, starting with lower values for subtle changes and increasing as needed for more dramatic transformations.seed
value to ensure consistent results across multiple runs, especially when fine-tuning the relighting effects.<sample.shape>
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