Save 4 hours! We auto-setup your workflow! Free!

Drop your workflow.json — we handle every dependency, custom node, and model. Just open the link and run.

Auto-Setup Workflow Json (Free) Now!
ComfyUI > Nodes > ComfyUI_JR_MiniMaxH3Node > JR MiniMax H3 Directed Video Conditioning

ComfyUI Node: JR MiniMax H3 Directed Video Conditioning

Class Name

JR_H3_DirectedVideoConditioning

Category
JR MiniMax H3/Generation
Author
Goldlionren (Account age: 872days)
Extension
ComfyUI_JR_MiniMaxH3Node
Latest Updated
2026-08-27
Github Stars
0.03K

How to Install ComfyUI_JR_MiniMaxH3Node

Install this extension via the ComfyUI Manager by searching for ComfyUI_JR_MiniMaxH3Node
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI_JR_MiniMaxH3Node 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
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

JR MiniMax H3 Directed Video Conditioning Description

Transform visual and audio inputs into video outputs with advanced conditioning techniques in ComfyUI's MiniMax H3 framework.

JR MiniMax H3 Directed Video Conditioning:

The JR_H3_DirectedVideoConditioning node is designed to facilitate the transformation of visual and audio inputs into video outputs using ComfyUI's MiniMax H3 framework. This node is particularly useful for AI artists looking to create videos from static images or reference videos, leveraging advanced conditioning techniques. It integrates seamlessly with ComfyUI's native MiniMax H3 Image-to-Video and Reference-to-Video conditioning implementations, allowing for a flexible and powerful video generation process. By consuming the immutable Director PIP, it delegates tasks to the appropriate conditioning method based on the input parameters, ensuring that the generated video aligns with the user's creative vision. This node is essential for those who wish to explore the intersection of AI and video art, providing a robust platform for experimentation and creativity.

JR MiniMax H3 Directed Video Conditioning Input Parameters:

clip

The clip parameter represents the input clip that will be used as the basis for video generation. It is a required parameter and serves as the primary visual input for the conditioning process.

vae

The vae parameter stands for Variational Autoencoder, which is used to encode and decode the visual data during the conditioning process. It is a required parameter that ensures the visual quality and consistency of the generated video.

pipe

The pipe parameter refers to the JR_H3_DIRECTOR_PIPE, which is a required component that guides the overall video generation process. It acts as a conduit for the conditioning operations, ensuring that the inputs are processed correctly.

mode_override

The mode_override parameter allows you to specify the conditioning mode explicitly. Options include "Auto", "Image to Video", and "Reference to Video", with "Auto" being the default. This parameter determines the method used for video generation, impacting the final output's style and content.

dimension_source

The dimension_source parameter dictates whether the dimensions of the output video should prefer the settings from the pipe or the node itself. Options are "Prefer Pipe" and "Prefer Node", with "Prefer Pipe" as the default. This choice affects the resolution and aspect ratio of the generated video.

width

The width parameter specifies the width of the output video in pixels. It is an integer value with a default of 1344, a minimum of 32, and a maximum of 16384, adjustable in steps of 32. This parameter influences the horizontal resolution of the video.

height

The height parameter defines the height of the output video in pixels. It is an integer value with a default of 768, a minimum of 32, and a maximum of 16384, adjustable in steps of 32. This parameter affects the vertical resolution of the video.

length

The length parameter indicates the duration of the output video in frames. It is an integer value with a default of 124, a minimum of 5, and a maximum of 3600, adjustable in steps of 17. This parameter determines how long the generated video will be.

ref_image_size

The ref_image_size parameter controls the size of reference images used in the conditioning process. Options are "match" and "max", with "match" as the default. This parameter affects how reference images are scaled relative to the output video.

audio_vae

The audio_vae parameter is an optional Variational Autoencoder for audio data. It is required when the Director PIP includes reference or driving audio, ensuring that audio elements are properly encoded and integrated into the video.

JR MiniMax H3 Directed Video Conditioning Output Parameters:

positive

The positive output represents the conditioning result, which is a processed version of the input data that has been adapted for video generation. It is crucial for ensuring that the generated video aligns with the intended artistic direction.

latent

The latent output is a latent representation of the input data, capturing the underlying features and patterns that are used to generate the video. This output is essential for understanding the transformation process and refining the final video output.

JR MiniMax H3 Directed Video Conditioning Usage Tips:

  • Ensure that the clip, vae, and pipe parameters are correctly configured to match your desired video output, as these are critical for the conditioning process.
  • Experiment with the mode_override parameter to explore different video generation methods, such as transitioning from images to video or using reference videos for conditioning.

JR MiniMax H3 Directed Video Conditioning Common Errors and Solutions:

Reference video <video_name> has an invalid runtime kind.

  • Explanation: This error occurs when the reference video provided is not recognized as a valid video type.
  • Solution: Ensure that the reference video is correctly formatted and compatible with the node's requirements.

Reference video <video_name> is missing bounded width/height metadata; install ffprobe and queue Director Desk again.

  • Explanation: The reference video lacks necessary metadata about its dimensions, which is required for processing.
  • Solution: Install ffprobe to extract metadata from the video and reprocess it through the Director Desk.

Reference video <video_name> exceeds the bounded decode budget; trim or downscale it before conditioning.

  • Explanation: The reference video is too large in terms of pixel count, exceeding the node's processing capabilities.
  • Solution: Reduce the video's resolution or duration to fit within the node's processing limits before attempting conditioning again.

JR MiniMax H3 Directed Video Conditioning Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI_JR_MiniMaxH3Node
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.

JR MiniMax H3 Directed Video Conditioning