ClipTextEncoderFlux not separating keys out in a usable form

### Expected Behavior

Using the Long Clip text encoder does not function as intended since the ClipTextEncoderFlux does not assign a key to clip_l so it can't be extracted, unlike with the SD3 Clip Text Encoder. The only key assigned is for t5xxl.

### Actual Behavior

The output is lumped into one so the token length is combined. Can't run the Long Clip node with the combined core node for ClipTextEncode because it's mashing t5xxl prompt into clip_l to determine token length

### Steps to Reproduce

Use node with Long Clip Text Encode (the updated version at https://github.com/zer0int/ComfyUI-Long-CLIP not the original, the updated one gets around some of the issues with conditionals that the original does not). It's also unclear to me based on the code in ComfyCore whether clip_l is ever truncated or not, though the Long Clip does seem to make a difference.

### Debug Logs

```powershell
!!! Exception during processing !!! expected sequence of length 413 at dim 1 (got 99999999)
Traceback (most recent call last):
File "E:\ComfyUI\execution.py", line 317, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\ComfyUI\execution.py", line 192, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\ComfyUI\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "E:\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\ComfyUI\comfy_extras\nodes_flux.py", line 21, in encode
output = clip.encode_from_tokens(tokens, return_pooled=True, return_dict=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\ComfyUI\comfy\sd.py", line 126, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\ComfyUI\custom_nodes\ComfyUI-Long-CLIP\long_clip.py", line 402, in encode_token_weights
t5_out, t5_pooled = self.t5xxl.encode_token_weights(token_weight_pairs_t5)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\ComfyUI\comfy\sd1_clip.py", line 41, in encode_token_weights
o = self.encode(to_encode)
^^^^^^^^^^^^^^^^^^^^^^
File "E:\ComfyUI\comfy\sd1_clip.py", line 229, in encode
return self(tokens)
^^^^^^^^^^^^
File "C:\Users\qrkyx\anaconda3\Lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\qrkyx\anaconda3\Lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\ComfyUI\comfy\sd1_clip.py", line 185, in forward
tokens = torch.LongTensor(tokens).to(device)
^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: expected sequence of length 413 at dim 1 (got 99999999)
```

### Other

_No response_