Input should be a valid list [type=list_type, input_value='data:image/png;base64,iV...Wnsl+oAAAAASUVORK5CYII=', input_type=str]

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When I try to upscale on the extras tab, it gives me an error.

Already up to date.
venv "C:\Users\ricar\stable-diffusion-webui\forge webui unzipped here\webui\venv\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-previous-480-g3b9b2f65
Commit hash: 3b9b2f653ef9579e871e73f34b3c5037395cc351
Launching Web UI with arguments: --cuda-malloc --cuda-stream --pin-shared-memory --ckpt-dir 'C:\Users\ricar\stable-diffusion-webui\models\Stable-diffusion' --lora-dir 'C:\Users\ricar\stable-diffusion-webui\models\Lora'
Using cudaMallocAsync backend.
Total VRAM 6144 MB, total RAM 16173 MB
pytorch version: 2.3.1+cu121
Set vram state to: NORMAL_VRAM
Always pin shared GPU memory
Device: cuda:0 NVIDIA GeForce RTX 3060 Laptop GPU : cudaMallocAsync
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
CUDA Using Stream: True
Using pytorch cross attention
Using pytorch attention for VAE
ControlNet preprocessor location: C:\Users\ricar\stable-diffusion-webui\forge webui unzipped here\webui\models\ControlNetPreprocessor
sd-webui-prompt-all-in-one background API service started successfully.
2024-08-31 01:47:59,633 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\\Users\\ricar\\stable-diffusion-webui\\models\\Stable-diffusion\\animaPencilXL_v200.safetensors', 'hash': 'ff05793b'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL: http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 22.1s (prepare environment: 3.4s, import torch: 8.5s, initialize shared: 0.3s, other imports: 0.5s, load scripts: 2.6s, create ui: 2.7s, gradio launch: 3.5s, app_started_callback: 0.5s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 83.33% GPU memory (5119.00 MB) to load weights, and use 16.67% GPU memory (1024.00 MB) to do matrix computation.
Traceback (most recent call last):
File "C:\Users\ricar\stable-diffusion-webui\forge webui unzipped here\webui\venv\lib\site-packages\gradio\queueing.py", line 536, in process_events
response = await route_utils.call_process_api(
File "C:\Users\ricar\stable-diffusion-webui\forge webui unzipped here\webui\venv\lib\site-packages\gradio\route_utils.py", line 285, in call_process_api
output = await app.get_blocks().process_api(
File "C:\Users\ricar\stable-diffusion-webui\forge webui unzipped here\webui\venv\lib\site-packages\gradio\blocks.py", line 1919, in process_api
inputs = await self.preprocess_data(
File "C:\Users\ricar\stable-diffusion-webui\forge webui unzipped here\webui\venv\lib\site-packages\gradio\blocks.py", line 1649, in preprocess_data
inputs_cached = block.data_model(root=inputs_cached) # type: ignore
File "C:\Users\ricar\stable-diffusion-webui\forge webui unzipped here\webui\venv\lib\site-packages\pydantic\root_model.py", line 70, in __init__
self.__pydantic_validator__.validate_python(root, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 1 validation error for ListFiles
Input should be a valid list [type=list_type, input_value='data:image/png;base64,iV...Wnsl+oAAAAASUVORK5CYII=', input_type=str]
For further information visit https://errors.pydantic.dev/2.8/v/list_type

Start by reproducing the failure from the Extras tab and inspect the Gradio preprocessing path shown in the traceback, especially the ListFiles validation error. Done means the upscale action accepts the submitted image and completes without the validation error.

Written by the indexing model from the issue text.