Generate video from image using Stable Video Diffusion by StabilityAI and Replicate.
Stable Video Diffusion: https://stability.ai/stable-video
Replicate: https://replicate.com/
Here is the Medium Article: https://medium.com/@sumitsahoo/stable-video-diffusion-with-replicate-7bdd3ff3879e
You need Python 3.12.7
or 3.13.0
installed in your system. If you are using pyenv
then check the version using command: pyenv version
- Install poetry
# Using pip pip install poetry # Using brew (macOS), if you are using pyenv you should use `pip install poetry` brew install poetry
- Set poetry to create virtual environment within project folder
poetry config virtualenvs.in-project true
- Install dependency and create the virtual environment
poetry install
- Run the app with poetry
or launch the app via VS Code debug menu. VS Code launch config file is also provided for easy debugging 🤓
poetry run python main.py
To update dependencies use: poetry update
If you want to update dependencies in pyproject.toml
, then you need to install plugin poetry-plugin-up
. Use command below:
poetry self add poetry-plugin-up
Once installed, use command poetry up
to install updates and edit pyproject.toml
automatically.
To view virtual environment location, use: poetry env info --path
To generate requirements.txt
using poetry, you need to have export plugin installed.
Install the plugin:
poetry self add poetry-plugin-export
Once the plugin is installed, use export
command to generate requirements.txt
poetry export -f requirements.txt --output requirements.txt --without-hashes
There are 2 environment variable you can specify.
- REPLICATE_API_TOKEN: This is your Replicate API key.
- GRADIO_SERVER_PORT: This is Gradio server port. This is optional if not specified in
launch
method.
If you are planning on deploying the app to cloud, you need a Docker image. To build the same use the Dockerfile
provided. The multi-stage build makes sure the resulting image is smaller in size and only includes the libraries that is needed. Also the use of non-root user makes it more secure.
Build arm64 image (Make sure cloud deployment supports arm64 images):
docker build --no-cache -t img2vid_latest .
For amd64 image (most common and widely supported):
docker buildx build --no-cache --platform linux/amd64 -t img2vid_latest .
Once image is built, you can push the same to any cloud provider and use a serverless service to deploy the same easily.
To run Docker image locally use below command:
docker run -it \
-e GRADIO_SERVER_PORT=8080 \
-e REPLICATE_API_TOKEN=your_key_here \
-p 8080:8080 \
--name img2vid \
img2vid_latest
UI is built using Gradio
Video icons created by Prosymbols Premium - Flaticon
Rancho Cucamonga wallpaper by thebasicappleguy
MIT License
Copyright (c) 2024 Sumit Sahoo
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.