Readme
🎞️ FramePack Runner – Image-to-Video with Prompt
Generate short videos from a single image and a motion prompt using the FramePack architecture by Stanford (2025).
👉 Try it now on Replicate
✨ Example usage
replicate run paullux/framepack-runner \
-v image=@input.png \
-v prompt="A cat jumps backward in surprise" \
-v seed=123 \
-v steps=30 \
-v duration_seconds=5 \
-v fps=30
🧠 About FramePack
Packing Input Frame Contexts in Next-Frame Prediction Models for Video Generation Lvmin Zhang, Maneesh Agrawala – Stanford University, 2025
FramePack compresses temporal context into fixed-length representations, making it highly efficient for generating long video sequences.
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📄 Project page
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🧪 Uses the
FramePackPipelinefrom 🤗diffusers
📦 Inputs
| Name | Type | Description |
|---|---|---|
image |
file |
The input image (.png or .jpg) |
prompt |
string |
A motion-focused description prompt |
seed |
integer |
Random seed for reproducibility (default: 42) |
steps |
integer |
Sampling steps (default: 25) |
duration_seconds |
number |
Duration of the video in seconds (default: 5) |
fps |
integer |
Output video frame rate (default: 30) |
📤 Output
Returns an .mp4 video file composed of all generated frames.
🛠 How it works
python framepack_runner.py \
-v image=@input.png \
-v prompt="A cat jumps backward in surprise" \
-v seed=123 \
-v steps=30 \
-v duration_seconds=5 \
-v fps=30
All frames are saved locally and then compiled into a video using ffmpeg.
📸 Example Prompt Ideas
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The robot jumps forward and transforms mid-air.
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A woman spins slowly in a dark room, lit by candlelight.
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The camera zooms toward a cat staring at a moving shadow.
📃 License
This implementation uses FramePack under its original academic license. Your usage of Replicate infrastructure is bound by their terms of service.
🙌 Credits
Based on FramePack by Lvmin Zhang & Maneesh Agrawala (Stanford).