Generate long, consistent, high-fidelity videos with prompt or image reference.
Your generated video will appear here once ready.
FramePack AI
FramePack AI combines advanced compression and anti-drifting techniques to deliver smooth, consistent videos with low hardware needs and fast generation speeds.
Runs efficiently on consumer GPUs with only 6GB VRAM, making AI video generation accessible to everyone.
Create videos up to 60 seconds at 30fps without quality loss or increased computational cost.
Innovative anti-drifting sampling prevents quality degradation over long sequences for smooth animations.
Generates frames quickly with batch sizes similar to image diffusion models, speeding up training and generation.
Generate AI videos easily with FramePack AI's user-friendly workflow designed for creators of all levels.
Start by uploading a photo or initial video frame to begin your animation.
Choose video length, frame rate, and style options to customize your output.
FramePack AI progressively generates frames using advanced compression and anti-drifting techniques.
Watch your video build in real-time, then download the final high-quality animation.
FramePack AI uses smart frame compression and bi-directional sampling to overcome traditional video generation limits.
Maintains a constant computational load regardless of video length by compressing frames based on importance.
Applies higher compression to less important frames, optimizing memory while preserving key details.
Generates frames using bi-directional context to avoid error accumulation and maintain visual fidelity.
Works with existing pretrained video diffusion models via fine-tuning, no need for retraining from scratch.
Supports large batch sizes, accelerating training times compared to traditional video diffusion methods.
Available under Apache 2.0 license, enabling community contributions and easy integration.
Answers to common questions about FramePack AI and its capabilities.
FramePack AI is an advanced neural network for efficient, high-quality long video generation using frame compression and anti-drifting sampling.
FramePack runs on consumer GPUs with as little as 6GB VRAM, such as Nvidia RTX 30XX, 40XX, or 50XX series.
Yes, FramePack can generate videos up to 60 seconds at 30fps without quality loss or increased computational cost.
Yes, it can fine-tune existing pretrained video diffusion models without retraining from scratch.
On an RTX 4090, FramePack generates frames in about 1.5 to 2.5 seconds each, providing real-time feedback.
Yes, FramePack is open-source under the Apache 2.0 license, encouraging community use and development.
It solves forgetting and drifting issues in video generation, maintaining consistency and quality over long videos.
Absolutely, FramePack is designed for ease of use, allowing creators at all levels to produce AI videos efficiently.
We recommend having an independent Python 3.10.
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
pip install -r requirements.txtTo start the GUI, run:
python demo_gradio.pyNote that it supports --share, --port, --server, and so on.
The software supports PyTorch attention, xformers, flash-attn, sage-attention. By default, it will just use PyTorch attention. You can install those attention kernels if you know how.
For example, to install sage-attention (linux):
pip install sageattention==1.0.6However, you are highly recommended to first try without sage-attention since it will influence results, though the influence is minimal.
Effective prompting is essential for achieving optimal results with FramePack. The following guidelines will help you craft prompts that generate high-quality video animations from your images.
For consistent results, we recommend using the following ChatGPT instruction template to generate motion-focused prompts:
When you provide an image to ChatGPT with the above instructions, you'll receive a concise motion prompt such as:
You can also craft your own prompts following these principles:
Examples of effective custom prompts: