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CLI for Stable Diffusion tasks.

Project description

PyPI-Server Monthly Downloads Test Coveralls License MIT Project generated with PyScaffold

CLI for Stable Diffusion tasks.

Installation

pip install giger

Usage

template

giger template -c type=Viking  -d data/hero.yaml "$(cat templates/hero.j2)"

prompt

giger prompt "Spawn in a battle" --time "Ancient" --type "Comic Book" --art_style "Concept art" --realism "Photorealistic" --rendering_engine "Octane render" --lightning_style "Cinematic" --camera_position "Ultra-Wide-Angle Shot" --resolution "8k"

image

giger image "Comic Book of Spawn in a battle, Concept art, Photorealistic, Octane render, Cinematic, Ultra-Wide-Angle Shot, 8k" --output $HOME/Desktop/ --name spawn

or e.g.

giger image "$(giger prompt "Spawn in a battle" --time "ancient" --type "Comic Book" --art_style "Concept art" --realism "Photorealistic" --rendering_engine "Octane render" --lightning_style "Cinematic" --camera_position "Ultra-Wide-Angle Shot" --resolution "8k")" --output $HOME/Desktop/ --name spawn
prompt="a wall with graffiti on it, with text Seen, in the art of Seen, located in New York City"
echo "$prompt" | giger image --output $(pwd)/out/batch --name graffiti --input $(pwd)/assets/img/sketch.png --controlnet_model "lllyasviel/sd-controlnet-hed"
echo "$prompt" | giger image --output $(pwd)/out/batch --name graffiti --input $(pwd)/assets/img/sketch.png
echo "$prompt" | giger image --output $(pwd)/out/batch --name graffiti

roop

giger roop --source face.jpg --input target.png --output output.png

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