FramePack Run In Gradio & ComfyUI - Generate Long Length image2Video AI Video - Installation Guide
In this video, we explore two installation methods for generating long-length AI videos using the FramePack project. First, we demonstrate the easy standalone method with Gradio UI, showing how to set up and generate videos up to 60 seconds or more. Next, we dive into running FramePack in ComfyUI, detailing custom node installations and workflow configurations. Whether you're using Gradio UI or ComfyUI, this guide covers essential settings like VRAM allocation, TeaCache usage, and sampling steps to optimize video quality and performance.
Blog Post: https://thefuturethinker.org/framepack-revolutionizing-video-generation-with-constant-length-context-compression/
Who is this content suitable for?
This tutorial is perfect for AI enthusiasts, video creators, and developers looking to generate long-length AI videos locally. It’s especially useful for those working with Hanyuan Video models, Gradio, or ComfyUI, and anyone interested in advanced AI video generation techniques.
Why does it matter?
Long-length AI video generation is a game-changer for content creators, offering seamless animations without motion freezes. This video provides practical steps to harness FramePack’s capabilities, making it accessible for users with varying GPU resources.
Update: Preserved Memory I mentioned was reversed after the voiceover script process.
The high number for Memory Preserve = slower
In FramePack, GPU Inference Preserved Memory refers to a configurable setting that allows users to control the amount of GPU memory reserved during video generation to prevent out-of-memory errors. FramePack is a next-frame prediction model for video generation that can run on consumer-grade GPUs, such as an RTX 3060 with 6GB VRAM, by compressing input frame contexts to a constant length, making memory usage independent of video length.
The Preserved Memory setting helps manage GPU memory allocation, particularly when generating videos at higher resolutions or with larger models (e.g., 13B parameter models). By increasing the preserved memory, you reduce the memory available for active computation, which can slow down generation but stabilize the process on systems with limited VRAM. For example, a post on X notes that on an RTX 4070 with 12GB VRAM, generating a 5-second video took 14 minutes, and tweaking this setting was necessary to avoid memory issues. Another post suggests starting with the default preserved memory value and increasing it if memory errors occur, though this may slow down the process.
This setting is critical for balancing performance and stability, especially on lower-end GPUs, and requires experimentation based on your hardware and desired output resolution.
Links, Workflows (Freebies):
https://www.patreon.com/posts/127000414?utm_source=youtube&utm_medium=video&utm_campaign=20250419
FramePack
https://lllyasviel.github.io/frame_pack_gitpage/
https://lllyasviel.github.io/frame_pack_gitpage/pack.pdf
https://github.com/lllyasviel/FramePack?tab=readme-ov-file
ComfyUI
https://github.com/kijai/ComfyUI-FramePackWrapper
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