Video Tutorial : https://youtu.be/HwMngohRmHg

 

FramePack from legendary lllyasviel full Windows local tutorial with a very advanced Gradio app to generate consistent videos from images with as long as 120 seconds and as low as 6 GB GPUs. This tutorial will show you step by step how to install and use FramePack locall with a very advanced Graido app. Moreover, I have published installers for cloud services such as RunPod and Massed Compute for those GPU poor and who wants to scale.

🔗 Full Instructions, Installers and Links Shared Post (the one used in the tutorial) ⤵️

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🔗 MSI RTX 5090 TRIO FurMark Benchmarking + Overclocking + Noise Testing and Comparing with RTX 3090 TI ⤵️

▶️ https://youtu.be/uV3oqdILOmA

🔗 RTX 5090 Tested Against FLUX DEV, SD 3.5 Large, SD 3.5 Medium, SDXL, SD 1.5, AMD 9950X + RTX 3090 TI ⤵️

▶️ https://youtu.be/jHlGzaDLkto

Packing Input Frame Context in Next-Frame Prediction Models for Video Generation

FramePack, to train next-frame (or nextframe-section) prediction models for video generation. The 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