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https://github.com/invoke-ai/InvokeAI
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* Removed unnecessary code
* Added description about --seamless
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@ -131,6 +131,13 @@ You may also pass a -v<count> option to generate count variants on the original
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passing the first generated image back into img2img the requested number of times. It generates interesting
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variants.
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## Seamless Tiling
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The seamless tiling mode causes generated images to be seamlessly tile with itself. To use it, add the --seamless option when starting the script which will result in all generated images to tile, or for each dream> prompt as shown here:
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```
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dream> "pond garden with lotus by claude monet" --seamless -s100 -n4
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```
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## GFPGAN and Real-ESRGAN Support
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The script also provides the ability to do face restoration and
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@ -87,6 +87,9 @@ def main():
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print(f'{e}. Aborting.')
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sys.exit(-1)
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if opt.seamless:
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print(">> changed to seamless tiling mode")
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# preload the model
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tic = time.time()
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t2i.load_model()
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@ -94,14 +97,6 @@ def main():
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f'>> model loaded in', '%4.2fs' % (time.time() - tic)
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)
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for m in t2i.model.modules():
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if isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)):
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m._orig_padding_mode = m.padding_mode
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if opt.seamless:
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m.padding_mode = 'circular'
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if opt.seamless:
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print(">> changed to seamless tiling mode")
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if not infile:
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print(
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"\n* Initialization done! Awaiting your command (-h for help, 'q' to quit)"
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