giger

CLI for Stable Diffusion tasks.

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 image@4x.png --scale 4

Metadata

Release files for giger 0.3.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for giger 0.3.4
File	Size	Uploaded
giger-0.3.4.tar.gz	130.9 kB	Oct 22, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for giger 0.3.4
File	Interpreter	ABI	Platform	Reset
giger-0.3.4-py3-none-any.whl 15.7 kB Oct 22, 2024	Python 3	none	any	Details

Total release size: 146.6 kB

Release files / giger-0.3.4.tar.gz

Download URL	giger-0.3.4.tar.gz
Size	130.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`a1b042873e87c54fa2eaadd97dd8b28e9bc1cae716cb8d2910c887b97d17b3c3`
BLAKE2b-256 checksum How to use checksums	`869e1c8310415f2a0e0e61e8850a80a4fd9a9d7aa936355b830aefff9ac307c9`
Upload date	Oct 22, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.10.12`

Release files / giger-0.3.4-py3-none-any.whl

Download URL	giger-0.3.4-py3-none-any.whl
Size	15.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`17040d8d03753c5d17ce171674ebb13e0664770a36dae61ae2ee5af27d0a0cbe`
BLAKE2b-256 checksum How to use checksums	`b30bfb21acdfb5f8b037a77fe4d746742da2a08f4516eded7c17e48591c928e9`
Upload date	Oct 22, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.10.12`