[Feature Request:] Allow prompt batching

I've been experimenting with batch generation and works fine with the Image Batch and Mask Batch of the `WAS_Node_Suite.py`. However, there is not a way to handle batches of text inputs. I've modified the encode method in ComfyUI/nodes.py, and it appears to be working as expected.

```py
class CLIPTextEncode:
@classmethod
def INPUT_TYPES(s):
return {"required": {"text": ("STRING", {"multiline": True}), "clip": ("CLIP", )}}
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "encode"

CATEGORY = "conditioning"

def encode(self, clip, text):
if isinstance(text, list):
batched_cond = []
batched_pooled = []

for single_text in text:
tokens = clip.tokenize(single_text)
cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True)
batched_cond.append(cond)
batched_pooled.append({"pooled_output": pooled})

# Stack along a new dimension to create a batched tensor
batched_cond_tensor = torch.stack(batched_cond, dim=0).squeeze(1)

return ([[batched_cond_tensor, {"pooled_output": batched_pooled}]], )
else:
tokens = clip.tokenize(text)
cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True)
return ([[cond, {"pooled_output": pooled}]], )
```
Would you be interested in a Pull Request for this change?