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-AICG3D > MiniMax H3 Aicg 分段采样

ComfyUI Node: MiniMax H3 Aicg 分段采样

Class Name

MiniMaxH3EasySegmentRender

Category
AICG3D/H3 工作流
Author
JGRFW (Account age: 560days)
Extension
comfyui-AICG3D
Latest Updated
2026-09-17
Github Stars
0.06K

How to Install comfyui-AICG3D

Install this extension via the ComfyUI Manager by searching for comfyui-AICG3D
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter comfyui-AICG3D 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

MiniMax H3 Aicg 分段采样 Description

Node for sampling Context Segment chain, producing post-processing result for video segments with MotionContext-style continuity.

MiniMax H3 Aicg 分段采样:

The MiniMaxH3EasySegmentRender node is designed to sample a Context Segment chain and produce a post-processing intermediate result. This node is part of the AICG3D/H3 workflow and plays a crucial role in rendering video segments with MotionContext-style latent continuity. It allows you to connect the resulting segments to further processing nodes such as Segment Decode for previewing or Segment Refine for detailed second-pass refinement. The primary goal of this node is to facilitate the seamless integration of context segments into a coherent video output, ensuring smooth transitions and maintaining the integrity of the visual narrative.

MiniMax H3 Aicg 分段采样 Input Parameters:

h3_context

The h3_context parameter is a required input that represents the context in which the segment rendering will occur. It is of type MINIMAX_H3_CONTEXT and is essential for providing the necessary environment and settings for the rendering process. This context includes information about the model and other configurations that influence the rendering outcome. There are no specific minimum, maximum, or default values for this parameter, as it is expected to be a pre-configured context object.

model

The model parameter is an optional input that specifies the model to be used for rendering the segments. If not provided, the node will attempt to resolve the model from the h3_context. This parameter allows for flexibility in choosing different models for rendering, which can impact the style and quality of the output. There are no specific minimum, maximum, or default values for this parameter.

sampler

The sampler parameter is an optional input that determines the sampling method used during the rendering process. Different samplers can affect the smoothness and detail of the rendered segments. This parameter provides the ability to experiment with various sampling techniques to achieve the desired visual effect. There are no specific minimum, maximum, or default values for this parameter.

sigmas

The sigmas parameter is an optional input that influences the noise levels during the rendering process. It is typically used to control the variance in the sampling process, affecting the texture and detail of the output. There are no specific minimum, maximum, or default values for this parameter.

seed

The seed parameter is an optional input that sets the random seed for the rendering process. It ensures that the sampling is deterministic for fixed inputs, allowing for reproducible results. The seed value is an integer, and while there is no strict minimum or maximum, it is typically constrained by the system's integer limits. The default value is 0.

segment_seeds

The segment_seeds parameter is an optional input that provides specific seeds for each segment in the rendering process. This allows for fine-grained control over the randomness in each segment, enabling consistent results across different runs. The default value is "default", indicating that a standard seeding approach will be used if not specified.

sampling_plan

The sampling_plan parameter is an optional input that outlines the strategy for sampling the segments. It provides a structured approach to how segments are sampled and rendered, influencing the overall flow and continuity of the video output. There are no specific minimum, maximum, or default values for this parameter.

MiniMax H3 Aicg 分段采样 Output Parameters:

segments

The segments output parameter is of type SEGMENT_RESULT_TYPE and represents the rendered segments resulting from the sampling process. This output is crucial as it forms the basis for further processing, such as decoding or refining. The segments contain the visual and contextual information necessary for creating a coherent video narrative, and their quality and continuity are directly influenced by the input parameters and the rendering process.

MiniMax H3 Aicg 分段采样 Usage Tips:

  • Ensure that the h3_context is properly configured with the necessary model and settings before using the node, as this will significantly impact the rendering quality and consistency.
  • Experiment with different sampler and sigmas settings to achieve the desired visual effects, as these parameters can greatly influence the texture and detail of the output segments.
  • Use the seed and segment_seeds parameters to maintain consistency across different runs, especially when fine-tuning the rendering process for specific projects.

MiniMax H3 Aicg 分段采样 Common Errors and Solutions:

"Connect the H3 Context output of a MiniMax H3 Aicg Context Segments node"

  • Explanation: This error occurs when the h3_context input is not properly connected or configured, leading to a failure in resolving the necessary context for rendering.
  • Solution: Ensure that the h3_context is correctly connected to a valid MiniMax H3 Aicg Context Segments node and that it contains the required model and settings.

"The segment result has no usable MiniMax H3 bundle"

  • Explanation: This error indicates that the segment result does not contain a valid MiniMax H3 bundle, which is necessary for the rendering process.
  • Solution: Verify that the input segments are correctly generated and contain a valid MiniMax H3 bundle. This may involve checking the upstream nodes and ensuring they are configured correctly.

"Segment refine plan and segment result contain different segment counts"

  • Explanation: This error occurs when there is a mismatch between the number of segments in the refine plan and the segment result, leading to inconsistencies in processing.
  • Solution: Check the segment counts in both the refine plan and the segment result to ensure they match. Adjust the upstream nodes or configurations as needed to align the segment counts.

MiniMax H3 Aicg 分段采样 Related Nodes

Go back to the extension to check out more related nodes.
comfyui-AICG3D
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.

MiniMax H3 Aicg 分段采样