Unleash Your Creativity: Generate Stunning Videos on Your Laptop with FramePack

Tired of complex video generation tools that require immense computing power? FramePack is here to revolutionize your creative process. This groundbreaking next-frame prediction model lets you generate high-quality videos, even on your laptop GPU! Keep reading to discover how FramePack makes video creation accessible, fast, and fun.

What is FramePack and Why Should You Care?

FramePack is a next-frame prediction neural network designed for progressive video generation. Unlike traditional methods, FramePack compresses input contexts to a constant length, making the generation workload independent of video length.

• Generate Long Videos Easily: Create videos up to a minute long with just 6GB of GPU memory.
• Laptop-Friendly: Works seamlessly on laptops with RTX 30XX, 40XX, and 50XX series GPUs.
• Fast Visual Feedback: See your video come to life frame-by-frame, getting instant visual confirmation.

Key Advantages of FramePack:

• Constant Workload: Compress input contexts for efficient and scalable video generation.
• Large Batch Sizes: Train with batch sizes similar to image diffusion, improving performance.
• Simple Installation: One-click installation package for Windows and straightforward instructions for Linux.

Get Started with FramePack: Here's What You Need

Before diving into video creation, ensure your system meets these minimum requirements.

• Nvidia GPU: RTX 30XX, 40XX, or 50XX series (GTX 10XX/20XX not tested) with fp16 and bf16 support.
• Operating System: Linux or Windows.
• GPU Memory: At least 6GB.

Note: To generate a 1-minute video (60 seconds) at 30fps (1800 frames) using the 13B model, you only need 6GB of GPU memory.

Setting Up FramePack on Your System:

Windows:

1. Download: Get the One-Click Package (CUDA 12.6 + Pytorch 2.6).
2. Uncompress: Extract the downloaded package.
3. Update: Run update.bat to ensure you have the latest version.
4. Run: Execute run.bat to start FramePack.

Linux:

1. Create Independent Environment: We highly recommended an independent Python 3.10 environment.

2. Install Dependencies Use the following commands:

   pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
   pip install -r requirements.txt
   

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3. Start the GUI: Run the appropriate command; supports --share, --port, and --server options.

Exploring Advanced Features

FramePack supports various attention mechanisms like PyTorch attention, xformers, flash-attn, and sage-attention. Install these kernels to enhance performance, though the default PyTorch attention works well for most users.

Navigating the FramePack GUI: Your Creative Playground

The FramePack GUI is intuitive and user-friendly.

• Left Panel: Upload an image and write your prompt.
• Right Panel: View generated videos and latent previews.

As a next-frame-section prediction model, FramePack generates videos progressively, section by section. Watch the progress bar to track each section and preview the latent representation for the next one.

Ensuring Everything Works: The Sanity Check

Before unleashing your creativity, run a sanity check to verify your setup. Next-frame-section prediction models are sensitive to subtle hardware and software differences, so this step is crucial.

Sanity Check Procedure:

1. Download Image: Grab the test image provided in the documentation.
2. Copy Prompt: Use the exact prompt: "The man dances energetically, leaping mid-air with fluid arm swings and quick footwork."
3. Configure Settings: Use default parameters with TeaCache turned off.
4. Compare Results: Ensure your generated video is similar to the example provided.

If you encounter a much shorter video, don't worry! FramePack generates videos section by section, so just wait for more sections to be added.

Prompting Like a Pro: Tips for Amazing Results

Crafting effective prompts is key to generating stunning videos with FramePack. Use this ChatGPT template for inspiration:

You are an assistant that writes short, motion-focused prompts for animating images.
When the user sends an image, respond with a single, concise prompt describing visual motion (such as human activity, moving objects, or camera movements). Focus only on how the scene could come alive and become dynamic using brief phrases.
Larger and more dynamic motions (like dancing, jumping, running, etc.) are preferred over smaller or more subtle ones (like standing still, sitting, etc.).
Describe subject, then motion, then other things. For example: "The girl dances gracefully, with clear movements, full of charm."
If there is something that can dance (like a man, girl, robot, etc.), then prefer to describe it as dancing.
Stay in a loop: one image in, one motion prompt out. Do not explain, ask questions, or generate multiple options.

For example, feeding an image to ChatGPT with this prompt might yield: "The man dances powerfully, striking sharp poses and gliding smoothly across the reflective floor."

Tips for Writing Effective Prompts:

• Be Concise: Short, motion-focused prompts work best.
• Describe Subject, Then Motion: Start with the subject, followed by the action.
• Use Dynamic Verbs: Emphasize motion with words like "dancing," "jumping," or "running."

Unleash Your Inner Video Creator with FramePack

FramePack opens up a world of possibilities for video generation. By leveraging the power of next-frame prediction, you can create impressive videos on your laptop without breaking the bank. Dive in, experiment with different prompts, and unlock your creative potential with FramePack! Try FramePack today and transform your creative vision into reality!