[Issue]: compile model doesnt work with anima

11:25:02-480509 ERROR    Encode prompt: UnspecializedNNModuleVariable(Qwen3Model) is already tracked for mutation. This
                         could be because you are not using VariableBuilder to construct the variable tracker. Source
                         of new object:
                         UnspecializedNNModuleSource(base=AttrSource(base=AttrSource(base=AttrSource(base=GlobalSource(
                         global_name='shared'), member='sd_model'), member='text_encoder'), member='_orig_mod')).
                         Source of previously tracked object:
                         UnspecializedNNModuleSource(base=LocalSource(local_name='module', is_input=True,
                         dynamism=None, is_derefed_cell_contents=False)).

                         from user code:
                            File "I:\aistuff\sdnext\modules\sd_offload.py", line 250, in
                         torch_dynamo_resume_in_pre_forward_at_246
                             for module_name in get_module_names(pipe):
                                                ~~~~~~~~~~~~~~~~^^^^^^
                           File "I:\aistuff\sdnext\modules\sd_offload.py", line 365, in get_module_names
                             modules_names = [m for m in modules_names if is_valid(m)]
                                                                          ~~~~~~~~^^^
                           File "I:\aistuff\sdnext\modules\sd_offload.py", line 338, in is_valid
                             if isinstance(getattr(pipe, module, None), torch.nn.ModuleDict):
                                           ~~~~~~~^^^^^^^^^^^^^^^^^^^^

                         Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're
                         reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"

11:25:02-482833 ERROR    Encode prompt: AssertionError
I:\aistuff\sdnext\modules\sd_hijack_te.py:69 in hijack_encode_prompt

  68             if hasattr(shared.sd_model, 'orig_encode_prompt'):
❱ 69                 res = shared.sd_model.orig_encode_prompt(*args_copy, **kwargs)
  70             else:

I:\aistuff\sdnext\pipelines\anima\pipeline.py:154 in encode_prompt

  153         if prompt_embeds is None:
❱ 154             prompt_embeds = self._encode_prompt(prompt, device, dtype, max_sequence_length)
  155             _, seq_len, _ = prompt_embeds.shape

I:\aistuff\sdnext\pipelines\anima\pipeline.py:102 in _encode_prompt

  101         # Get Qwen3 hidden states
❱ 102         qwen_outputs = self.text_encoder(
  103             input_ids=qwen_input_ids,

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\eval_frame.py:511 in __call__

   510         with _set_in_optimized_module():
❱  511             return super().__call__(*args, **kwargs)
   512

I:\aistuff\sdnext\venv\Lib\site-packages\torch\nn\modules\module.py:1778 in _wrapped_call_impl

  1777         else:
❱ 1778             return self._call_impl(*args, **kwargs)
  1779

I:\aistuff\sdnext\venv\Lib\site-packages\torch\nn\modules\module.py:1789 in _call_impl

  1788                 or _global_forward_hooks or _global_forward_pre_hooks):
❱ 1789             return forward_call(*args, **kwargs)
  1790

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\eval_frame.py:1166 in compile_wrapper

  1165                     try:
❱ 1166                         result = fn(*args, **kwargs)
  1167                         call_succeeded = True

I:\aistuff\sdnext\venv\Lib\site-packages\torch\nn\modules\module.py:1778 in _wrapped_call_impl

  1777         else:
❱ 1778             return self._call_impl(*args, **kwargs)
  1779

... 50 frames hidden ...

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\variables\lazy.py:50 in realize

   49             # when LazyVariableTracker.realize() returns LazyConstantVariable.
❱  50             self.vt = builder.VariableBuilder(
   51                 tx, self.source, allow_lazy_constant=False

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\variables\builder.py:790 in __call__

   789         try:
❱  790             return self._call_impl(value)
   791         finally:

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\variables\builder.py:827 in _call_impl

   826
❱  827         vt = self._wrap(value)
   828

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\variables\builder.py:1225 in _wrap

  1224         elif isinstance(value, torch.nn.Module):
❱ 1225             return self.wrap_module(value)
  1226         elif ConstantVariable.is_literal(value):  # non-atomic literals

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\variables\builder.py:2446 in wrap_module

  2445             self.source = AttrSource(self.source, "_orig_mod")
❱ 2446             return self.wrap_module(value._orig_mod)
  2447

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\variables\builder.py:2572 in wrap_module

  2571                 return result
❱ 2572             return self.tx.output.side_effects.track_object_existing(value, result)
  2573         elif issubclass(

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\side_effects.py:636 in track_object_existing

   635         # variable
❱  636         return self._track_obj(
   637             item,

I:\aistuff\sdnext\venv\Lib\site-packages\torch\_dynamo\side_effects.py:614 in _track_obj

   613         if id(item) in self.id_to_variable:
❱  614             raise AssertionError(
   615                 f"{variable} is already tracked for mutation. This could be "
AssertionError: UnspecializedNNModuleVariable(Qwen3Model) is already tracked for mutation. This could be because you are not using VariableBuilder to construct the variable tracker. Source of new object: UnspecializedNNModuleSource(base=AttrSource(base=AttrSource(base=AttrSource(base=GlobalSource(global_name='shared'), member='sd_model'), member='text_encoder'), member='_orig_mod')). Source of previously tracked object: UnspecializedNNModuleSource(base=LocalSource(local_name='module', is_input=True, dynamism=None, is_derefed_cell_contents=False)).

from user code:
   File "I:\aistuff\sdnext\modules\sd_offload.py", line 250, in torch_dynamo_resume_in_pre_forward_at_246
    for module_name in get_module_names(pipe):
                       ~~~~~~~~~~~~~~~~^^^^^^
  File "I:\aistuff\sdnext\modules\sd_offload.py", line 365, in get_module_names
    modules_names = [m for m in modules_names if is_valid(m)]
                                                 ~~~~~~~~^^^
  File "I:\aistuff\sdnext\modules\sd_offload.py", line 338, in is_valid
    if isinstance(getattr(pipe, module, None), torch.nn.ModuleDict):
                  ~~~~~~~^^^^^^^^^^^^^^^^^^^^

Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"

11:25:03-443309 ERROR    Processing: args={'prompt': ['kita ikuyo'], 'negative_prompt': [''], 'generator':
                         [<torch._C.Generator object at 0x00000213A3BD1D90>], 'callback_on_step_end': <function
                         diffusers_callback at 0x00000213A084E7A0>, 'callback_on_step_end_tensor_inputs': ['latents',
                         'prompt_embeds', 'negative_prompt_embeds'], 'num_inference_steps': 20, 'output_type':
                         'latent', 'width': 1024, 'height': 1024} not enough values to unpack (expected 2, got 1)
11:25:03-444660 ERROR    Processing: ValueError
I:\aistuff\sdnext\modules\processing_diffusers.py:186 in process_base

  185             taskid = shared.state.begin('Inference')
❱ 186             output = shared.sd_model(**base_args)
  187             shared.state.end(taskid)

I:\aistuff\sdnext\venv\Lib\site-packages\torch\\\utils\_contextlib.py:124 in decorate_context

  123         with ctx_factory():
❱ 124             return func(*args, **kwargs)
  125

I:\aistuff\sdnext\pipelines\anima\pipeline.py:258 in __call__

  257         # Encode prompt
❱ 258         prompt_embeds, negative_prompt_embeds = self.encode_prompt(
  259             prompt=prompt,
ValueError: not enough values to unpack (expected 2, got 1)