Story2Board's standard workflow as a command line tool consists of three key stages:
- Environment Configuration: Create a Python 3.12 environment via Conda, installing the dependencies listed in requirements.txt
- Parameter preparation: Four core parameters need to be prepared:
- -subject: detailed description of the main character (e.g. "brown-haired girl with glasses")
- -ref_panel_prompt: full scene description of the start screen
- -panel_prompts: description of scene changes for each subsequent screen (no need to repeat protagonist characteristics)
- -output_dir: path to output directory
- Execution generation: Run the main.py script, the system will automatically download the base model such as FLUX.1-dev and generate a mirror image
Example of a typical command:
python main.py -subject "fox with shimmering fur" -ref_panel_prompt "stepping onto mossy path under twilight" -panel_prompts "jumping over a ravine" "perched on ancient archway" -output_dir outputs/fox_story on ancient archway" -output_dir outputs/fox_story
This answer comes from the articleStory2Board: generating coherent split-screen scripts from natural language storiesThe
May not be reproduced without permission:AI productivity tools " How do I generate a mirroring script using Story2Board? What specific key parameters are needed?
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