Imagen-pytorch
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Hi, How do I upsample the results that I'm seeing with the notebook?
#1 > That model is a quick training in colab, don't expect good results Maybe this could be made clearer in the README? @cene555 Otherwise, I think it just wastes...
The paper stated they use different number of resnet blocks for super resolution, but the impl in this repo doesn't reflect that or I miss something?
NOT ENOUGHT RAM IN COLAB , can i run it localy on rtx 3090 on windows ? how much ram its need?
Thank you for publishing this great code. I marvel at the excellence of this code and would love to use it. What is the license for this code? May I...
Generation result looks not so good... For example: **_prompt = 'monkey eat banana'_**  Maybe someone get better generation result?
from celli: `i add this to the bottom of cene notebook for inference` https://gist.github.com/rom1504/b5db3c98c5485c0ec5a1d22d79ca083a ```python #benchmark import random import re from shutil import copyfile prompts2=[] with open('/content/bench.txt') as my_file: prompts...
restarted non pro colab runtime clean but error persists and fails at[16]? face_enhancer = GFPGANer( model_path='https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth', upscale=4, arch='clean', channel_multiplier=2, bg_upsampler=upsampler) --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) [](https://localhost:8080/#) in ()...