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https://github.com/invoke-ai/InvokeAI
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resolved conflicts and tested
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@ -237,10 +237,11 @@ The vast majority of these arguments default to reasonable values.
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if not grid:
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for x_sample in x_samples_ddim:
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x_sample = 255. * rearrange(x_sample.cpu().numpy(), 'c h w -> h w c')
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filename = os.path.join(outdir, f"{base_count:05}.png")
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filename = self._unique_filename(outdir,previousname=filename,
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seed=seed,isbatch=(batch_size>1))
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assert not os.path.exists(filename)
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Image.fromarray(x_sample.astype(np.uint8)).save(filename)
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images.append([filename,seed])
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base_count += 1
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else:
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all_samples.append(x_samples_ddim)
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seeds.append(seed)
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@ -329,6 +330,7 @@ The vast majority of these arguments default to reasonable values.
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seeds = list()
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filename = None
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image_count = 0 # actual number of iterations performed
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tic = time.time()
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# Gawd. Too many levels of indent here. Need to refactor into smaller routines!
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try:
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@ -373,10 +375,11 @@ The vast majority of these arguments default to reasonable values.
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if not grid:
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for x_sample in x_samples:
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x_sample = 255. * rearrange(x_sample.cpu().numpy(), 'c h w -> h w c')
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filename = os.path.join(outdir, f"{base_count:05}.png")
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filename = self._unique_filename(outdir,previousname=filename,
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seed=seed,isbatch=(batch_size>1))
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assert not os.path.exists(filename)
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Image.fromarray(x_sample.astype(np.uint8)).save(filename)
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images.append([filename,seed])
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base_count += 1
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else:
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all_samples.append(x_samples)
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seeds.append(seed)
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