3jSSKJr SSKJr SSKJr SSKrSSKr SSK r SSK J r SSK J r Jr \ "\5r\"5r\(aSSKrO\"S5eS \R(R*S \S \R.R04S jrS \R(R*S \R.R0S\R4S S4SjrS \R(R*S \R.R0S\ R8S \S S4 SjrSS\\ R>R>\R@-\ R8-\\ R8-S\S\ R8S \S\!S\S S4Sjjr"g))Iterator)Fraction)chainN)tqdm) get_loggeris_av_availablez`PyAV is required to use LTX 2.0 video export utilities. You can install it with `pip install av` containeraudio_sample_ratereturncURSUS9nXRlSURl[ SU5URlU$)z' Prepare the audio stream for writing. aacratestereo) add_stream codec_context sample_ratelayoutr time_base)r r audio_streams _/home/wildlama/miniconda3/lib/python3.13/site-packages/diffusers/pipelines/ltx2/export_utils.py_prepare_audio_streamr(sP''4E'FL->*(0L%+3A7H+IL( rframe_inc(URnUR=(d SnUR=(d SnUR=(d URn[R R RUUUS9nSnURU5HUn U RcXl XR- nURU lURURU 55 MW UR5Hn URU 5 M g)Nfltpr)formatrrr) rrrravaudio resamplerAudioResamplerresampleptssamplesmuxencode) r rrcc target_format target_layout target_rateaudio_resampleraudio_next_ptsrframepackets r_resample_audior13s  # #BII'MII)M..8H$8$8Khh((77 8O N!**84 :: 'J..(%11 l))&12 5%%' f(rr&cxURS:Xa USS2S4nURSS:waURSS:Xa URnURSS:wa[SURS35eUR[ R :wa:[ R"USS5nUS-R[ R 5n[RRUR5RSS 5R5R5S S S 9nX4l[#XU5 g) Nrrz,Expected samples with 2 channels; got shape .gg?g@s16r)rr)ndimshapeT ValueErrordtypetorchint16cliptor AudioFrame from_ndarray contiguousreshapecpunumpyrr1)r rr&r rs r _write_audiorFPs  ||q!T'"}}Q1q!1Q!6))}}Q1G VWXYY}} #**WdC0W$((5}}))$$Q+//1779*H -IX6rvideofpsr! output_pathvideo_chunks_numberc[U[5(a~[US[RR5(aRUVs/sHn[R "U5PM nn[R "USS9n[R"U5nO[U[R5(a[R"[R"U5U:*U[R"U5:*5n[R"U5(a#US-R5RS5nO[ R#S5 [R"U5n[U[R$5(a [R&"XSS9n[)U5n[+U5n U R,upp[.R0"USS9n U R3S [5U5S 9nXlXlS UlUbUc [=S 5e[?X5n[A[CU /U5USS9HrnURES5RG5nUHJn[.RHRKUSS9nURMU5HnU ROU5 M ML Mt URM5HnU ROU5 M Ub [QU WX#5 U RS5 g s snf)a Encodes a video with audio using the PyAV library. Based on code from the original LTX-2 repo: https://github.com/Lightricks/LTX-2/blob/4f410820b198e05074a1e92de793e3b59e9ab5a0/packages/ltx-pipelines/src/ltx_pipelines/utils/media_io.py#L182 Args: video (`List[PIL.Image.Image]` or `np.ndarray` or `torch.Tensor`): A video tensor of shape [frames, height, width, channels] with integer pixel values in [0, 255]. If the input is a `np.ndarray`, it is expected to be a float array with values in [0, 1] (which is what pipelines usually return with `output_type="np"`). fps (`int`) The frames per second (FPS) of the encoded video. audio (`torch.Tensor`, *optional*): An audio waveform of shape [audio_channels, samples]. audio_sample_rate: (`int`, *optional*): The sampling rate of the audio waveform. For LTX 2, this is typically 24000 (24 kHz). output_path (`str`): The path to save the encoded video to. video_chunks_number (`int`, *optional*, defaults to `1`): The number of chunks to split the video into for encoding. Each chunk will be encoded separately. The number of chunks to use often depends on the tiling config for the video VAE. r)axisuint8zSupplied `numpy.ndarray` does not have values in [0, 1]. The values will be assumed to be pixel values in [0, ..., 255] and will be used as is.)dimw)modelibx264ryuv420pNz4audio_sample_rate is required when audio is providedzEncoding video chunks)totaldescrDrgb24)r)* isinstancelistPILImagenparraystackr< from_numpyndarray logical_and zeros_like ones_likeallroundastypeloggerwarningTensor tensor_splititernextr8r openrintwidthheightpix_fmtr:rrrr?rE VideoFramerAr(r'rFclose)rGrHr!r rIrJframe video_framesis_denormalized first_chunk_rornr streamr video_chunkvideo_chunk_cpu frame_arrayr0s r encode_videor|nsQ:%:eAh #H#H5:;UEU ;A.  ' E2:: & &..u)=)FQSQ]Q]^cQdHde 66/ " "S['')009E NNB   '%&&""51EU u+K%++Au #.I  ! !)#c( ! ;FLMFN   $ST T,YJ E;-7?RYpq %../557*KMM..{7.KE --. f%/+r--/ f" Y eG OOers % 0 H   j  R\\%;%;PSXZX`X`XlXl||%%57XX5I5IUWUbUb :7||%%7((&&7\\7 7  7H ! Q   2:: -