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@ -1322,9 +1322,10 @@ def sample_dpmpp_2s_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback
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r = 1 / 2
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h = t_next - t
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s = t + r * h
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x_2 = (sigma_fn(s) / sigma_fn(t)) * (x + (denoised - temp[0])) - (-h * r).expm1() * denoised
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uncond_denoised = temp[0]
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x_2 = (sigma_fn(s) / sigma_fn(t)) * (x + (denoised - uncond_denoised)) - (-h * r).expm1() * denoised
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denoised_2 = model(x_2, sigma_fn(s) * s_in, **extra_args)
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x = (sigma_fn(t_next) / sigma_fn(t)) * (x + (denoised - temp[0])) - (-h).expm1() * denoised_2
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x = (sigma_fn(t_next) / sigma_fn(t)) * (x + (denoised - uncond_denoised)) - (-h).expm1() * denoised_2
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# Noise addition
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if sigmas[i + 1] > 0:
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x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up
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@ -703,7 +703,7 @@ class Vidu2ReferenceVideoNode(IO.ComfyNode):
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"subjects",
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template=IO.Autogrow.TemplateNames(
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IO.Image.Input("reference_images"),
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names=["subject1", "subject2", "subject3"],
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names=["subject1", "subject2", "subject3", "subject4", "subject5", "subject6", "subject7"],
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min=1,
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),
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tooltip="For each subject, provide up to 3 reference images (7 images total across all subjects). "
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@ -738,7 +738,7 @@ class Vidu2ReferenceVideoNode(IO.ComfyNode):
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control_after_generate=True,
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),
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IO.Combo.Input("aspect_ratio", options=["16:9", "9:16", "4:3", "3:4", "1:1"]),
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IO.Combo.Input("resolution", options=["720p"]),
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IO.Combo.Input("resolution", options=["720p", "1080p"]),
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IO.Combo.Input(
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"movement_amplitude",
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options=["auto", "small", "medium", "large"],
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