Comments (1)
Yes its possible, but as per the current optimization function, the algorithm would not work well if batch inference is done. Watermark cleaning wouldn't be so clean. Also, the compute (specifically VRAM) requirement would be very high. I think for what you're mentioning would require bit more optimization calibration and training optimization.
I am planning to add half-precision training though, helping to run faster and produce more high resolution outputs on low vram devices. Coming soon...
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Related Issues (20)
- TypeError: 'NoneType' object does not support item assignment HOT 5
- Processing was stopped out , Upsampling is deprecated
- Not an issue. wondering if the set up is correct. HOT 2
- Does it work on CPU? HOT 1
- on video ? HOT 1
- [RuntimeError: CUDA out of memory] when max dimensions of final image are increased HOT 2
- An iteration takes on my laptop dozens of seconds (cpu only) HOT 1
- retrain HOT 2
- Loss of resolution HOT 9
- Broken can't install it even with build tools HOT 2
- How to use the script? HOT 3
- Inference time HOT 3
- CPU usage. HOT 1
- Model learns to synthesize watermark too HOT 2
- Need some data on performance of this application HOT 1
- Licence? HOT 2
- Instructions HOT 1
- requirements.txt HOT 2
- Default parameters HOT 1
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