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+4
-3
@@ -72,6 +72,10 @@ def get_previewer(device, latent_format):
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return taesd
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def close_all_preview():
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cv2.destroyAllWindows()
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@torch.no_grad()
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def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=9.0, sampler_name='euler_ancestral', scheduler='normal', denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False):
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seed = seed if isinstance(seed, int) else random.randint(1, 2 ** 64)
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@@ -104,9 +108,6 @@ def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=9.0, sa
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out = latent.copy()
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out["samples"] = samples
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if previewer:
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cv2.destroyAllWindows()
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return out
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