Floyo
Floyo
Workflows
API
Pricing
Floyo
Floyo
Workflows
API
Pricing
Last updated
2026-01-21

Run hundreds of ComfyUI nodes and workflows in your browser.

ComfyUI and My Files on Floyo

ComfyUI-FramePackWrapper_PlusOne is an enhanced version of the original FramePackWrapper, designed for ComfyUI, that introduces single-frame inference capabilities along with support for the kisekaeichi method. This tool enables users to generate high-quality videos with dynamic prompts and improved temporal coherence.

  • Supports single-frame inference and kisekaeichi for flexible video generation.
  • Integrates with HunyuanVideo LoRAs for advanced weight management and blending.
  • Allows for timestamped prompts, giving users precise control over video content.

Context

This tool is a fork of the existing ComfyUI-FramePackWrapper, adding functionalities that specifically cater to single-frame inference and kisekaeichi support. Its primary purpose is to enhance the video generation capabilities within ComfyUI, providing users with advanced features for creating dynamic and visually coherent outputs.

Key Features & Benefits

The tool offers several practical features, including 1-frame inference which simplifies the generation process by focusing on single frames, and the ability to integrate LoRAs, which allows for more nuanced control over the generated content. Additionally, timestamped prompts enable users to specify when changes occur in the video, enhancing storytelling and narrative structure.

Advanced Functionalities

One of the standout capabilities is the F1 sampler support, which utilizes an improved video generation method to ensure higher quality outputs and better temporal coherence. This is particularly useful for projects that require seamless transitions and consistent visual quality across frames. Furthermore, the tool's flexible input options allow for both reference images and empty latents, giving users extensive creative freedom.

Practical Benefits

By incorporating this tool into their workflows, users can significantly improve their control over video generation processes, leading to higher quality outputs and more efficient production. The automatic resolution control and blend options facilitate smoother transitions and optimal video dimensions, ultimately streamlining the creative process in ComfyUI.

Credits/Acknowledgments

The development of this tool involves contributions from various authors, including the original FramePack implementation by @lllyasviel, the ComfyUI-FramePackWrapper by @kijai, and the F1-supported fork by @ShmuelRonen. The tool is also based on the musubi-tuner library by @kohya-ss, which provides advanced training and inference capabilities for FramePack. The project is licensed under the MIT License.

Inner Nodes

FramePackFindNearestBucket

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