time python tgd.py --prompt "the beach at sunset"
Selected device: cuda:0.
1. Creating model and diffusion.
1. Done.
2. Running base GLIDE text2im model.
2. Base model generations complete. Check glide_outputs/base/the_beach_at_sunset/the_beach_at_sunset.png for generations.
3. Loading GLIDE upsampling diffusion model.
3. Done.
4. Running GLIDE upsampling from 64x64 to 256x256.
4. Done. Check glide_outputs/sr/the_beach_at_sunset/the_beach_at_sunset.png for generations.

real    1m4.775s
user    1m9.648s
sys     0m8.894s

git clone https://github.com/afiaka87/pyglide.git
cd pyglide

python3 -m venv .venv
source .venv/bin/activate
(.venv) python -m pip install -r requirements.txt
(.venv) git clone https://github.com/openai/glide-text2im.git
(.venv) cd glide-text2im/
(.venv) python -m pip install -e .
(.venv) cd ../

usage: tgd.py [-h] --prompt PROMPT [--batch_size BATCH_SIZE] [--guidance_scale GUIDANCE_SCALE] [--base_x BASE_X] [--base_y BASE_Y] [--respace RESPACE] [--prefix PREFIX] [--upsample_temp UPSAMPLE_TEMP]

optional arguments:
  -h, --help            show this help message and exit
  --prompt PROMPT       a caption to visualize
  --batch_size BATCH_SIZE
  --guidance_scale GUIDANCE_SCALE
  --base_x BASE_X       width of base gen. has to be multiple of 16
  --base_y BASE_Y       width of base gen. has to be multiple of 16
  --respace RESPACE     Number of timesteps to use for generation. Lower is faster but less accurate.
  --prefix PREFIX       Output dir for generations. Will be created if it doesn't exist with subfolders for base and upsampled.
  --upsample_temp       0.0 to 1.0. 1.0 can introduce artifacts, lower can introduce blurriness.