Comments (5)
For inference, I optimized the hell out of memory usage via implementing this jira: #17 . I'm going to close this because that was my primary concern- making it usable for end users. If your training...it'll still take the same amount of memory. I'll still try to attack that but I think that's going to be a tougher nut to crack.
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Are there any parameters that can be tweak to reduce memory usage? Unfortunately my gpu only has 3 GB of memory
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@flip111 no, you need a more capable GPU to use it.
If you want only to colorize we have a patch to use CPU only, but you will need at least 8GB of ram on your computer.
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@flip111 you need to wait until is merged, probably in the upcoming days.
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Related Issues (20)
- How to output result without show image HOT 1
- TypeError: 'NoneType' object is not subscriptable HOT 2
- unable to run HOT 1
- Any known update for MyHeritage edition? HOT 1
- Get error when Create black and white training images HOT 1
- RuntimeError: Given input size: (512x1x1). Calculated output size: (512x0x0). Output size is too small HOT 2
- Unpickling Error HOT 2
- The content of flickr cannot be accessed. Please check the reason. HOT 1
- VapourSynth version of DeOldify HOT 2
- Error in GAN training
- Can't find libtiff HOT 2
- Conditionning HOT 1
- Enable 16bit tensor inference HOT 1
- https://www.dropbox.com/s/zkehq1uwahhbc2o/ColorizeArtistic_gen.pth?dl=0's accident HOT 2
- DID NOT RECIVED THE PROJECT AFTER FINESHED
- Uneven color distribution in stable and artistic model outputs HOT 1
- not working HOT 1
- Upadate it HOT 1
- example dataset for ColorizeTrainingArtistic
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