Test of 10s of video with the 768p models (done in 87 hours 05 minutes and 37 seconds.... (!!!) (sic))

[Giribot]

Hello, just a test of the 768p model for a 10s video.

bfa3bbb9-03a6-49ca-aa46-9c3053365dbb_text_to_video_sample.mp4

Prompt "The Mediterranean sea with a transparent sea, clouds, sun, rays of light"
The problem: the time to calculate all that: 87 hours 05 minutes and 37 seconds.... (!!!)

But no bug....

My configuration:
HP- Pavillion Gaming Laptop 17.
Here: https://support.hp.com/fr-fr/document/c08198121

Some logs ....

Microsoft Windows [version 10.0.22631.4460]
(c) Microsoft Corporation. Tous droits réservés.

D:\Data\Packages\PyramidFlow2\Pyramid-Flow>python app.py
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.4.0+cu121 with CUDA 1201 (you have 2.4.0+cu118)
    Python  3.10.11 (you have 3.10.6)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details
A matching Triton is not available, some optimizations will not be enabled
Traceback (most recent call last):
  File "C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\xformers\__init__.py", line 57, in _is_triton_available
    import triton  # noqa
  File "C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\triton\__init__.py", line 13, in <module>
    from . import language
  File "C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\triton\language\__init__.py", line 2, in <module>
    from . import core, extern, libdevice, random
  File "C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\triton\language\core.py", line 1141, in <module>
    def abs(x):
  File "C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\triton\runtime\jit.py", line 386, in jit
    return JITFunction(args[0], **kwargs)
  File "C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\triton\runtime\jit.py", line 315, in __init__
    self.run = self._make_launcher()
  File "C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\triton\runtime\jit.py", line 282, in _make_launcher
    scope = {"version_key": version_key(), "get_cuda_stream": get_cuda_stream,
  File "C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\triton\runtime\jit.py", line 82, in version_key
    with open(triton._C.libtriton.__file__, "rb") as f:
AttributeError: partially initialized module 'triton' has no attribute '_C' (most likely due to a circular import)
[INFO] All required model files are present in 'D:\Data\Packages\PyramidFlow2\Pyramid-Flow\pyramid_flow_model'. Skipping download.
C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\gradio\helpers.py:147: UserWarning: In future versions of Gradio, the `cache_examples` parameter will no longer accept a value of 'lazy'. To enable lazy caching in Gradio, you should set `cache_examples=True`, and `cache_mode='lazy'` instead.
  warnings.warn(
Will cache examples in 'D:\Data\Packages\PyramidFlow2\Pyramid-Flow\.gradio\cached_examples\17' directory at first use.


Will cache examples in 'D:\Data\Packages\PyramidFlow2\Pyramid-Flow\.gradio\cached_examples\30' directory at first use.


Information : impossible de trouver des fichiers pour le(s) modèle(s) spécifié(s).
* Running on local URL:  http://127.0.0.1:7860
C:\Users\gilda\AppData\Local\Programs\Python\Python310\lib\site-packages\gradio\helpers.py:412: UserWarning: Examples will be cached but not all input components have example values. This may result in an exception being thrown by your function. If you do get an error while caching examples, make sure all of your inputs have example values for all of your examples or you provide default values for those particular parameters in your function.
  warnings.warn(

Could not create share link. Please check your internet connection or our status page: https://status.gradio.app.
[DEBUG] generate_text_to_video called.
[INFO] Initializing model with variant='768p', using bf16 precision...
[DEBUG] Model base path: D:\Data\Packages\PyramidFlow2\Pyramid-Flow\pyramid_flow_model
Using temporal causal attention
You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 2/2 [00:33<00:00, 16.51s/it]
An error occurred while trying to fetch D:\Data\Packages\PyramidFlow2\Pyramid-Flow\pyramid_flow_model\causal_video_vae: Error no file named diffusion_pytorch_model.safetensors found in directory D:\Data\Packages\PyramidFlow2\Pyramid-Flow\pyramid_flow_model\causal_video_vae.
Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.
The latent dimmension channes is 16
The start sigmas and end sigmas of each stage is Start: {0: 1.0, 1: 0.8002399489209289, 2: 0.5007496155411024}, End: {0: 0.6669999957084656, 1: 0.33399999141693115, 2: 0.0}, Ori_start: {0: 1.0, 1: 0.6669999957084656, 2: 0.33399999141693115}
[INFO] Model initialized successfully.
[DEBUG] generate_text_to_video called.
[INFO] Starting text-to-video generation...
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [87:05:37<00:00, 10114.10s/it]
[INFO] Text-to-video generation completed.
[INFO] Video exported to bfa3bbb9-03a6-49ca-aa46-9c3053365dbb_text_to_video_sample.mp4.