Welcome to the realm of StoryTeller, a fascinating multimodal AI storyteller that brings your narratives to life. By combining the power of Stable Diffusion, GPT, and neural text-to-speech (TTS), this tool crafts animated videos complete with audio and visuals.
Installation Guide
Before diving into storytelling, let’s install StoryTeller. Follow along with these simple steps:
Using PyPI
- First, ensure you have
pipinstalled. Then, run the following command:
$ pip install storyteller-core
From Source
- Clone the repository:
$ git clone https://github.com/jaketae/storyteller.git
$ cd storyteller
$ pip install .
mecab-python3 isn’t available. Use Homebrew to install mecab before running pip install. Example command:$ brew install mecab
Quickstart: Running a Demo
Ready to unleash your creativity? You can quickly run a demo using the command line interface (CLI):
$ storyteller
This command initializes your story with a default prompt, which kicks off the magic of AI storytelling!
Customizing Your Story
You can personalize your story by customizing the opening line. For example, if you want your story to start with “The ravenous cat, driven by an insatiable craving for tuna, devised a daring plan to break into the local fish market’s coveted tuna reserve,” your command would look like this:
$ storyteller --writer_prompt "The ravenous cat, driven by an insatiable craving for tuna, devised a daring plan to break into the local fish markets coveted tuna reserve."
The final video will be saved in the output.mp4 directory.
Understanding the Code: An Analogy
Imagine you are a movie director at a whimsical film festival. StoryTeller acts like your talented crew: the writer (GPT) creates a captivating script, the painter (Stable Diffusion) designs vivid backgrounds and characters for each scene, and the narrator (TTS) brings the story to life with engaging audio. Just as each crew member has their role, you can customize their contributions by adjusting settings like the writer’s device, painter’s device, and even the number of images generated.
With unique options to modify parameters, you can craft a story as elaborate or as simple as you desire, transforming a basic idea into a stunning animated narrative.
Troubleshooting
If you encounter issues while installing or running StoryTeller, don’t panic! Here are some common troubleshooting tips:
- Ensure you have the latest version of
pip. - Check that all dependencies are installed correctly. If you face problems with
mecab-python3on Apple Silicon, follow the Homebrew installation instructions again. - If your code throws errors, make sure you’re using the correct version of Python and libraries that are compatible with your system.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Advanced Usage
For those looking to dive deeper, you can directly interface with StoryTeller in Python:
from storyteller import StoryTeller
story_teller = StoryTeller.from_default()
story_teller.generate(...)
Alternatively, you can configure the model with custom settings. This flexibility allows you to adapt the tool to fit your unique storytelling style!
from storyteller import StoryTeller, StoryTellerConfig
config = StoryTellerConfig(
writer="gpt2-large",
painter="CompVis/stable-diffusion-v1-4",
max_new_tokens=100,
)
story_teller = StoryTeller(config)
story_teller.generate(...)
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.
Embrace the power of storytelling with StoryTeller and watch as your words take flight through imagination and innovation!

