luna - LUNA v1.0.0

luna

This image background generated with stable diffusion luna

Stable diffusion is a deep learning, text-to-image model and used to generate detailted images conditioned on text description, thout it can also be applied to other task such as inpainting or outpainting and generate image to image translate guide by text prompt.

try online on google colab:

luna can running on online colab notebook you can check here:

• luna
• luna with gpu and mixed precision
  • 15 seconds generation time per image (512 x 512) on default colab GPU without drop the quality

usage for online colab:

• click the connect

• open on runtime and click run all ( ctrl+f9 if using shortcut )

• online collab running luna

usage

use venv

``` //create venv python3 -m venv venv

//activate venv source venv/bin/activate ```

clone repo

clone on https : git clone https://github.com/slowy07/luna cd luna pip install -r requirements.txt

clone on ssh : git clone git@github.com:slowy07/luna.git cd luna pip install -r requirements.txt

note : if using mac m1 you can try installing the requirements_m1.txt

run script

python text2image.py --prompt="example text" to change the output file name run using the --output flag python text2image.py --prompt="cool picture" --output="cool_pic.png"

install as python package

pip install git+https://github.com/slowy07/luna and run the package using ```python from stablediffusiontensorflow.stable_diffusion import Text2Image

generator = Text2Image(imgheight=512, imgwidth=512, jitcompose=False) img = generator.generate( "DSLR photograph of an astronut ridinga horse", numsteps = 50, unconditionalguidancescale = 75, temperature = 1, batch_size = 1, ) ```

you can change dimension of image by change the img_height and img_width

python generator = Text2Image( img_height = 1020 # or change 1080 img_height = 1080 # or change 800 )

⚠️ NOTE ⚠️

if pip encountered an issue, try running pip with higher privilege using sudo

output

python img = generator.generate( "DSLR photograph of an astronut ridinga horse", num_steps = 50, unconditional_guidance_scale = 75, temperature = 1, batch_size = 1, )

contributor

special thanks for

@onixldlc - #1 - #4 - #6

@mspronesti - #5

- Python
Published by slowy07 over 3 years ago