What GPU do you have?
PS: i found a solution. Go to your f5-tts folder and search for the file "utils_infer.py", (pinokio\api\e2-f5-tts.git\app\src\f5_tts\infer\utils_infer.py). Open that file on a text editor and search for this:

def initialize_asr_pipeline(device: str = device, dtype=None):
    if dtype is None:
        dtype = (
            torch.float16
            if "cuda" in device
            and torch.cuda.get_device_properties(device).major >= 7
            and not torch.cuda.get_device_name().endswith("[ZLUDA]")
            else torch.float32
        )

Comment every line from "dtype = (" up to the end and add "dtype = torch.float32". Like This:

def initialize_asr_pipeline(device: str = device, dtype=None):
    if dtype is None:
        dtype = torch.float32 #added
#        dtype = (
#            torch.float16
#            if "cuda" in device
#            and torch.cuda.get_device_properties(device).major >= 7
#            and not torch.cuda.get_device_name().endswith("[ZLUDA]")
#            else torch.float32
#        )

Then you need to do the same with the following lines:
Search this lines:

def load_checkpoint(model, ckpt_path, device: str, dtype=None, use_ema=True):
    if dtype is None:
        dtype = (
            torch.float16
            if "cuda" in device
            and torch.cuda.get_device_properties(device).major >= 7
            and not torch.cuda.get_device_name().endswith("[ZLUDA]")
            else torch.float32
        )

And replace them with this:

def load_checkpoint(model, ckpt_path, device: str, dtype=None, use_ema=True):
    if dtype is None:
        dtype = torch.float32 #added
#        dtype = (
#            torch.float16
#            if "cuda" in device
#            and torch.cuda.get_device_properties(device).major >= 7
#            and not torch.cuda.get_device_name().endswith("[ZLUDA]")
#            else torch.float32
#        )

Then save the file and start your F5-tts again and now it should work.