Any To String (mtb)¶
Documentation¶
- Class name:
Any To String (mtb)
- Category:
mtb/converters
- Output node:
False
This node is designed to convert various types of inputs into their string representations, aiming to provide a versatile solution for handling and displaying different data types as strings.
Input types¶
Required¶
input
- Accepts a wide range of input types, including strings, tensors, images, numpy arrays, and dictionaries, converting them into a string format that describes their characteristics.
- Comfy dtype:
*
- Python dtype:
Union[str, torch.Tensor, PIL.Image.Image, np.ndarray, dict]
Output types¶
string
- Comfy dtype:
STRING
- Outputs a string representation of the input, detailing its type and key characteristics.
- Python dtype:
str
- Comfy dtype:
Usage tips¶
- Infra type:
CPU
- Common nodes: unknown
Source code¶
class MTB_AnyToString:
"""Tries to take any input and convert it to a string."""
@classmethod
def INPUT_TYPES(cls):
return {
"required": {"input": ("*")},
}
RETURN_TYPES = ("STRING",)
FUNCTION = "do_str"
CATEGORY = "mtb/converters"
def do_str(self, input):
if isinstance(input, str):
return (input,)
elif isinstance(input, torch.Tensor):
return (f"Tensor of shape {input.shape} and dtype {input.dtype}",)
elif isinstance(input, Image.Image):
return (f"PIL Image of size {input.size} and mode {input.mode}",)
elif isinstance(input, np.ndarray):
return (
f"Numpy array of shape {input.shape} and dtype {input.dtype}",
)
elif isinstance(input, dict):
return (
f"Dictionary of {len(input)} items, with keys {input.keys()}",
)
else:
log.debug(f"Falling back to string conversion of {input}")
return (str(input),)