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Workflows
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Last updated
2026-06-03

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ComfyUI-RH-Bernini is a specialized custom node pack designed for integrating Bernini-style in-context conditioning within ComfyUI's Wan 2.2 workflows. It enhances the functionality of ComfyUI by incorporating advanced prompt-enhancement nodes derived from the ByteDance Bernini repository while maintaining compatibility with existing ComfyUI features.

  • This tool allows users to encode videos and images into context latents for improved conditioning in generative tasks.
  • It provides a prompt enhancer that generates tailored instructions for external language model (LLM) nodes, facilitating better interaction between visual and textual data.
  • The package includes a parser that converts LLM responses into usable enhanced prompts, streamlining the workflow for users.

Context

ComfyUI-RH-Bernini is a custom node pack for ComfyUI that focuses on enhancing workflows using the Bernini model for in-context conditioning. It integrates core functionalities from the ComfyUI environment, allowing users to leverage existing nodes for model loading, text encoding, and video output, while adding unique capabilities tailored for Bernini-based tasks.

Key Features & Benefits

The main features of this tool include:

  • Bernini Conditioning Node: Encodes various media inputs into context latents, which improves the conditioning quality for generative models.
  • Bernini Prompt Enhancer: Generates task-specific prompts that can be utilized by external LLMs, enhancing the interaction between text and visual inputs.
  • Bernini Prompt Result Parser: Transforms LLM outputs into enhanced prompts, making it easier to integrate language model responses into the generative workflow.

Advanced Functionalities

This node pack offers advanced capabilities such as the ability to process multiple types of media inputs (e.g., source videos, reference images) for various tasks like video-to-video (v2v) and reference image-to-video (r2v) transformations. The integration with external LLMs allows for complex prompt enhancements that are contextually aware, which is crucial for generating high-quality outputs.

Practical Benefits

The ComfyUI-RH-Bernini tool significantly enhances the workflow by providing users with greater control over the conditioning process and the prompt generation. This leads to improved output quality and efficiency in generating media, as users can seamlessly integrate visual and textual data, ensuring a more cohesive and effective creative process.

Credits/Acknowledgments

This custom node pack is authored and maintained by flybirdxx. It is based on code from the Comfy-Org/ComfyUI#14216 pull request and incorporates prompt-enhancement templates from the official ByteDance Bernini repository. The package is distributed under the GPL-3.0-only license, with attribution to the upstream Apache-2.0 project for the prompt enhancement templates.

Inner Nodes

BerniniConditioning
BerniniPromptEnhancer
BerniniPromptResultParser

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