giger 0.3.4

CLI for Stable Diffusion tasks.

CLI for Stable Diffusion tasks.

Read more: https://artificialhoney.github.io/giger

Installation

pip install giger git+https://github.com/ai-forever/Real-ESRGAN.git git+https://github.com/XPixelGroup/BasicSR@master

Usage

Please check first of all the help function and the examples.

giger --help

Also make sure to always obtain the latest version.

giger --version

Increase verbosity to also output the diffusers logging.

giger -vv

prompt

Generate a prompt with multiple well-known input keywords to choose.

giger prompt "A viking with long hair and sword" --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"

You can also pipe from another command to the prompt task.

echo "A viking with long hair and sword" | giger prompt --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

The commands pull the chosen model from huggingface.co. You choose one with the --model option. Also the batch and image sizes can be configured and one can pass the prompt via pipe.

Please see the help function for more information.

txt2img

giger image "A viking with long hair and sword, Concept art, Photorealistic, Octane render, Cinematic, Ultra-Wide-Angle Shot, 8k" --output $HOME/Desktop/ --name viking

img2img

giger image "A viking with long hair and sword, Concept art, Photorealistic, Octane render, Cinematic, Ultra-Wide-Angle Shot, 8k" --output $HOME/Desktop/ --name viking --input input.png

controlnet

giger image "A viking with long hair and sword, Concept art, Photorealistic, Octane render, Cinematic, Ultra-Wide-Angle Shot, 8k" --output $HOME/Desktop/ --name viking --input input.png --controlnet_model "lllyasviel/sd-controlnet-hed"

swap

Simply change the face in an input image and render the result to disc.

giger swap --face face.jpg --input target.png --output output.png

upscale

Simply upscale an image and render the result to disc.

giger upscale --input image.png --output [e-mail] --scale 4