ComfyUI  >  Nodes  >  ComfyUI-EbSynth >  ES Video Transfer

ComfyUI Node: ES Video Transfer

Class Name

ES_VideoTransfer

Category
EbSynth
Author
Fuou Marinas (Account age: 1730 days)
Extension
ComfyUI-EbSynth
Latest Updated
7/31/2024
Github Stars
0.1K

How to Install ComfyUI-EbSynth

Install this extension via the ComfyUI Manager by searching for  ComfyUI-EbSynth
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-EbSynth in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

ES Video Transfer Description

Facilitates visual feature transfer from image to video using advanced encoding for consistent style and motion.

ES Video Transfer:

The ES_VideoTransfer node is designed to facilitate the transfer of visual features from an initial image to a video sequence, leveraging advanced encoding techniques. This node is particularly useful for AI artists looking to create consistent and visually appealing video content from a single image. By encoding the initial image and applying various transformations, the node ensures that the resulting video frames maintain a coherent style and motion, enhancing the overall visual experience. The primary goal of this node is to streamline the process of video creation by automating the transfer of image features, making it easier for you to produce high-quality video content without extensive manual adjustments.

ES Video Transfer Input Parameters:

clip_vision

This parameter represents the vision model used to encode the initial image. It is crucial for extracting visual features that will be transferred to the video frames. The model should be compatible with the CLIP (Contrastive Language-Image Pre-Training) framework.

init_image

The initial image from which visual features are extracted. This image serves as the basis for the video frames, ensuring that the style and content are consistently transferred. The image should be in a format supported by the node.

vae

The Variational Autoencoder (VAE) model used to encode the image into a latent space. This encoding is essential for generating the video frames with the desired visual features. The VAE model should be pre-trained and compatible with the node.

width

The width of the video frames to be generated. This parameter determines the horizontal resolution of the output video. The default value is 1024, with a minimum of 16 and a maximum defined by the system's maximum resolution, adjustable in steps of 8.

height

The height of the video frames to be generated. This parameter determines the vertical resolution of the output video. The default value is 576, with a minimum of 16 and a maximum defined by the system's maximum resolution, adjustable in steps of 8.

video_frames

The number of frames to be generated for the video. This parameter controls the length of the video sequence. The default value is 14, with a minimum of 1 and a maximum of 4096 frames.

motion_bucket_id

An identifier for the motion bucket, which helps in organizing and managing different motion patterns in the video. The default value is 127, with a range from 1 to 1023.

fps

Frames per second (FPS) for the output video. This parameter determines the playback speed of the video. The default value is 6, with a minimum of 1 and a maximum of 1024 FPS.

augmentation_level

The level of augmentation applied to the encoded pixels. This parameter adds noise to the pixels to enhance the diversity of the generated frames. The default value is 0.0, with a range from 0.0 to 10.0, adjustable in steps of 0.01.

ES Video Transfer Output Parameters:

positive

This output contains the positive conditioning data, which includes the encoded image features and additional metadata such as motion bucket ID, FPS, augmentation level, and the concatenated latent image. This data is used to generate the video frames with the desired visual characteristics.

negative

This output contains the negative conditioning data, which serves as a counterbalance to the positive conditioning. It includes zeroed-out versions of the encoded image features and metadata, ensuring that the model can differentiate between the presence and absence of specific visual features.

latent

The latent space representation of the video frames. This output is a tensor that holds the encoded features for each frame, allowing for efficient generation and manipulation of the video content. The latent space is crucial for maintaining the consistency and quality of the video frames.

ES Video Transfer Usage Tips:

  • Ensure that the initial image (init_image) is of high quality and representative of the desired visual style for the video.
  • Adjust the width and height parameters to match the resolution requirements of your project, keeping in mind the system's maximum resolution limits.
  • Experiment with different augmentation levels to achieve the desired level of diversity and visual effects in the video frames.
  • Use the motion_bucket_id parameter to organize and manage different motion patterns, especially when working on complex video projects with multiple sequences.

ES Video Transfer Common Errors and Solutions:

Invalid image format

  • Explanation: The initial image provided is not in a supported format.
  • Solution: Ensure that the init_image parameter is set to a valid image file format, such as PNG or JPEG.

VAE model not found

  • Explanation: The specified VAE model is not available or not compatible with the node.
  • Solution: Verify that the vae parameter is set to a pre-trained and compatible VAE model.

Resolution exceeds maximum limit

  • Explanation: The specified width or height exceeds the system's maximum resolution.
  • Solution: Adjust the width and height parameters to values within the allowed range.

Frame count out of range

  • Explanation: The number of video frames specified is outside the allowable range.
  • Solution: Set the video_frames parameter to a value between 1 and 4096.

FPS out of range

  • Explanation: The frames per second (FPS) value is outside the allowable range.
  • Solution: Adjust the fps parameter to a value between 1 and 1024.

ES Video Transfer Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-EbSynth
RunComfy

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.