ONNX Runtime Error?

[CobaltAkaJames]

Every time I try to use the script txt2img_onnx.py or python txt2img_onnx.py as directed in the guide, it seems to fail, because best I can tell, no output images are being generated at all. Not even a blank image. I also tried python txt2img_onnx.py --cpu-only, thinking maybe it was a GPU/VRAM problem, but got the same results. Here's the full output

Traceback (most recent call last):
File "F:\Stable-Diff\OnnxDiffusersUI-main\txt2img_onnx.py", line 64, in
pipe = OnnxStableDiffusionPipeline.from_pretrained(
File "F:\Stable-Diff\OnnxDiffusersUI-main\virtualenv\lib\site-packages\diffusers\pipeline_utils.py", line 708, in from_pretrained
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
File "F:\Stable-Diff\OnnxDiffusersUI-main\virtualenv\lib\site-packages\diffusers\onnx_utils.py", line 206, in from_pretrained
return cls._from_pretrained(
File "F:\Stable-Diff\OnnxDiffusersUI-main\virtualenv\lib\site-packages\diffusers\onnx_utils.py", line 173, in _from_pretrained
model = OnnxRuntimeModel.load_model(
File "F:\Stable-Diff\OnnxDiffusersUI-main\virtualenv\lib\site-packages\diffusers\onnx_utils.py", line 78, in load_model
return ort.InferenceSession(path, providers=[provider], sess_options=sess_options)
File "F:\Stable-Diff\OnnxDiffusersUI-main\virtualenv\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 347, in init
self._create_inference_session(providers, provider_options, disabled_optimizers)
File "F:\Stable-Diff\OnnxDiffusersUI-main\virtualenv\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 395, in _create_inference_session
sess.initialize_session(providers, provider_options, disabled_optimizers)
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Deserialize tensor onnx::Add_9330 failed.tensorprotoutils.cc:625 onnxruntime::utils::GetExtDataFromTensorProto External initializer: onnx::Add_9330 offset: 3343164160 size to read: 2560 given file_length: 2625634304 are out of bounds or can not be read in full.

What am I doing wrong?