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@ -240,7 +240,7 @@ These have less hardware support than the builds above but they work on windows.
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RDNA 3 (RX 7000 series):
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```pip install --pre torch torchvision torchaudio --index-url https://rocm.nightlies.amd.com/v2/gfx110X-dgpu/```
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```pip install --pre torch torchvision torchaudio --index-url https://rocm.nightlies.amd.com/v2/gfx110X-all/```
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RDNA 3.5 (Strix halo/Ryzen AI Max+ 365):
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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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@ -374,7 +374,7 @@ class VideoFromComponents(VideoInput):
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if audio_stream and self.__components.audio:
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waveform = self.__components.audio['waveform']
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waveform = waveform[:, :, :math.ceil((audio_sample_rate / frame_rate) * self.__components.images.shape[0])]
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frame = av.AudioFrame.from_ndarray(waveform.movedim(2, 1).reshape(1, -1).float().numpy(), format='flt', layout='mono' if waveform.shape[1] == 1 else 'stereo')
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frame = av.AudioFrame.from_ndarray(waveform.movedim(2, 1).reshape(1, -1).float().cpu().numpy(), format='flt', layout='mono' if waveform.shape[1] == 1 else 'stereo')
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frame.sample_rate = audio_sample_rate
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frame.pts = 0
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output.mux(audio_stream.encode(frame))
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