victorca25 / innfer Goto Github PK

I get the following error after the first chunk (GOP) is completed.

TypeError: unsupported format string passed to NoneType.format

input file is .mp4 and output is .mp4

Hello @victorca25, I'd like to replicate highres fix, but am unsure how it works exactly. I mainly use diffusers so I must use your repo to replicate highres fix.

If I wanted to use 4x-UltraSharp, upscale it by 1.5, with 25 highres steps and a denoising of 0.4. What should the code look like?

this is how the default code looks like:

import torch
from PIL import Image
import numpy as np
from run import load_model, run

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')

model = load_model('upscaler/4x-UltraSharp.pth', device)

path_to_image = 'img11.png'
image = Image.open(path_to_image).convert('RGB')
 
sr_image =run(model,image)
pil_image = Image.fromarray(sr_image)
pil_image.save('u3.png')

I hope you see my issue soon and thanks in advance for your time.

Hey guys, here is a quick and dirty for using scene detect for better scene detection instead of static GOP. The first part is working (Detecting scenes and populating the scenes.ini) but it's a hack and I commented out some things for testing. Definitely
needs a lot more work but a rough starting point for discussion.

run.py.zip

I'm unable to get the scene detection to work. No matter what I do it defaults to the 250 GOP. Please advise