FramePack: Advanced Image-to-Video Generation
Video Tutorial:
https://youtu.be/HwMngohRmHg
**FramePack Full Tutorial: 1-Click to Install on Windows - Up to 120 Second Image-to-Videos with 6GB**
FramePack from legendary lllyasviel — full Windows local tutorial with a very advanced Gradio app to generate consistent videos from images up to 120 seconds, even on 6GB GPUs. This tutorial shows you step by step how to install and use FramePack locally with a powerful Gradio-based app. Installers for cloud services (RunPod, Massed Compute) are also provided for those with limited GPU resources or who want to scale.
🔗 Full Instructions, Installers, and Links
(the one used in the tutorial)
https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-126855226
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🔗 MSI RTX 5090 TRIO FurMark Benchmarking + Overclocking + Noise Testing and Comparing with RTX 3090 TI
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FramePack: Packing Input Frame Context in Next-Frame Prediction Models for Video Generation
FramePack enables training of next-frame (or nextframe-section) prediction models for video generation. FramePack compresses input frames to make the transformer context length a fixed number, regardless of the video length.
- Paper: https://lllyasviel.github.io/frame_pack_gitpage/pack.pdf
- Project Page: https://github.com/lllyasviel/FramePack
Video Chapters
- 0:00 Intro: New Frame Pack Image-to-Video Framework
- 0:11 Mind-blowing Features & Why It’s Different
- 0:24 Local Windows Install & Cloud Options (RunPod/Mass Compute)
- 0:39 Meet the Creator: Legendary LLL YassVL & His Track Record
- 1:02 Frame Pack Power: Up to 120s, Constant Speed/VRAM, Low VRAM/T-Cache Support
- 1:30 Live Demo: Generating 3 Videos at Once
- 1:52 CRITICAL Pre-Install Step: Windows Requirements Check
- 2:03 Preparing for Install: Moving File & Disk Space (50GB+)
- 2:14 How to Install: Extracting & Running the .bat File
- 2:28 Automatic Installation Process Overview
- 2:45 Technical Detail: Hunyuan Backend (Future 1.2.1 Support?)
- 2:57 Frame Pack Explained: Prediction Network & High Frame Counts
- 3:20 Live Generation Preview Feature (Second-by-Second Output)
- 3:37 Cloud vs. Local Performance: Delays & Comparisons
- 4:00 Installation Complete! How to Verify
- 4:16 Automatic Model Downloading on First Launch
- 4:27 Where Models Are Saved (models folder)
- 4:44 Troubleshooting Download Failures: Editing startup.bat Fix (Set to 0)
- 5:08 Download Fix Options: Restarting vs. Editing .bat File
- 5:27 Launching Pre-Installed Version & Checking Models Folder
- 5:39 Starting Application: Model Loading Process (CPU — VRAM)
- 5:53 Using Google Studio AI (Gemini Pro) to Generate Prompts
- 6:14 Crafting a “Hunyuan Image-to-Video Prompt”
- 6:34 Exploring Generation Options: T-Cache, Seed, Length, Steps
- 6:56 Options: Distill CFG, GPU Memory Preservation
- 7:11 Tool Tip: How to Install & Use nvitop for VRAM Monitoring
- 7:30 NEW FEATURE: Improved Video Quality Control (Encoding Fix)
- 7:41 Quality Settings: High, Medium, Low, Web Compatible
- 8:09 Starting Live Demo (10s) — Note: Version 1, More Features Coming!
- 8:26 Watching Live Generation: GPU Wattage Monitoring & Efficiency
- 8:51 Wattage Explained: Shared vs. Dedicated VRAM Power Draw
- 9:10 Live Preview: First Second Rendered & Displayed
- 9:23 Generating Subsequent Seconds & Benefit of Live Preview
- 9:36 Understanding T-Cache Speed (Slow Start, Fast Finish)
- 9:59 Live Preview: Second Second Rendered (Video Updated)
- 10:14 Watching Full Generation Progress & VRAM Check
- 10:35 Reviewing Completed Generations from Cloud Instances
- 10:55 Analysis Result 2: Another High Accuracy Example
- 11:03 Result 3 Failed — Likely Needs a Better Prompt
- 11:26 Understanding Output Video Resolution (Variable)
- 11:37 Future Plans: Resolution Control & Recap (Rush Release)
- 11:54 Cloud Setup: Overview & Mass Compute Details (Coupon)
- 12:21 Mass Compute GPUs: RTX A6000 Ada Rec, H100/A100 Pricing
- 12:48 RunPod Setup Details: Instructions & Required Template
- 13:06 Final Thoughts & Future Plans (Batch Processing, Presets)
- 13:25 Aiming for Feature Parity with 1.2.1 Application
- 13:39 Teaser: New Improved Super Upscaling App Coming Soon
- 14:01 Links & Thank You
For further details, see the paper or the FramePack GitHub repository.
