accept arbitrary s
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@ -118,7 +118,7 @@ if __name__ == "__main__":
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with torch.no_grad():
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with torch.no_grad():
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with model.ema_scope():
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with model.ema_scope():
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uc = None
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uc = None
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if opt.scale > 0:
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if opt.scale != 1.0:
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uc = model.get_learned_conditioning(opt.n_samples * [""])
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uc = model.get_learned_conditioning(opt.n_samples * [""])
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for n in trange(opt.n_iter, desc="Sampling"):
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for n in trange(opt.n_iter, desc="Sampling"):
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c = model.get_learned_conditioning(opt.n_samples * [prompt])
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c = model.get_learned_conditioning(opt.n_samples * [prompt])
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