Read prefs: "C:\Users\mischa\AppData\Roaming\Blender Foundation\Blender\3.6\config\userpref.blend"
Registered Power Sequencer with 72 modules
text_encoder\model.safetensors not found
Loading pipeline components...: 100%|████████████████████████████████████████████████████| 5/5 [00:03<00:00,  1.42it/s]
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
Generating Video
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Traceback (most recent call last):
  File "C:\Users\mischa\AppData\Roaming\Blender Foundation\Blender\3.6\scripts\addons\Generative_AI-main\__init__.py", line 1295, in execute
    video_frames = pipe(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\pipelines\text_to_video_synthesis\pipeline_text_to_video_synth.py", line 605, in __call__
    noise_pred = self.unet(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\accelerate\hooks.py", line 165, in new_forward
    output = old_forward(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\unet_3d_condition.py", line 533, in forward
    sample = self.transformer_in(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\transformer_temporal.py", line 156, in forward
    hidden_states = block(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\attention.py", line 194, in forward
    attn_output = self.attn1(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\attention_processor.py", line 322, in forward
    return self.processor(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\attention_processor.py", line 1034, in __call__
    hidden_states = xformers.ops.memory_efficient_attention(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 193, in memory_efficient_attention
    return _memory_efficient_attention(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 291, in _memory_efficient_attention
    return _memory_efficient_attention_forward(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 311, in _memory_efficient_attention_forward
    out, *_ = op.apply(inp, needs_gradient=False)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\cutlass.py", line 186, in apply
    out, lse, rng_seed, rng_offset = cls.OPERATOR(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\_ops.py", line 502, in __call__
    return self._op(*args, **kwargs or {})
RuntimeError: CUDA error: invalid configuration argument
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

Error: Python: Traceback (most recent call last):
  File "C:\Users\mischa\AppData\Roaming\Blender Foundation\Blender\3.6\scripts\addons\Generative_AI-main\__init__.py", line 1295, in execute
    video_frames = pipe(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\pipelines\text_to_video_synthesis\pipeline_text_to_video_synth.py", line 605, in __call__
    noise_pred = self.unet(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\accelerate\hooks.py", line 165, in new_forward
    output = old_forward(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\unet_3d_condition.py", line 533, in forward
    sample = self.transformer_in(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\transformer_temporal.py", line 156, in forward
    hidden_states = block(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\attention.py", line 194, in forward
    attn_output = self.attn1(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\attention_processor.py", line 322, in forward
    return self.processor(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\diffusers\models\attention_processor.py", line 1034, in __call__
    hidden_states = xformers.ops.memory_efficient_attention(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 193, in memory_efficient_attention
    return _memory_efficient_attention(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 291, in _memory_efficient_attention
    return _memory_efficient_attention_forward(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 311, in _memory_efficient_attention_forward
    out, *_ = op.apply(inp, needs_gradient=False)
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\cutlass.py", line 186, in apply
    out, lse, rng_seed, rng_offset = cls.OPERATOR(
  File "C:\Users\mischa\AppData\Roaming\Python\Python310\site-packages\torch\_ops.py", line 502, in __call__
    return self._op(*args, **kwargs or {})
RuntimeError: CUDA error: invalid configuration argument
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.