[Bug]: Img2Img doesn't work

Nobody has claimed this yet.

### Checklist

- [ ] The issue exists after disabling all extensions
- [X] The issue exists on a clean installation of webui
- [ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
- [X] The issue exists in the current version of the webui
- [X] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet

### What happened?

got the image from txt2img
launched the process and got this error:

### Steps to reproduce the problem

1. Upload an image
2. launch the generation

### What should have happened?

1. launch the generation
2. get a new image

### What browsers do you use to access the UI ?

Microsoft Edge

### Sysinfo

[sysinfo-2024-03-14-01-13.json](https://github.com/lllyasviel/stable-diffusion-webui-forge/files/14595441/sysinfo-2024-03-14-01-13.json)

### Console logs

```Shell
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
Commit hash: 29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7
Launching Web UI with arguments: --always-normal-vram --api --xformers --pin-shared-memory --cuda-malloc --cuda-stream --ckpt-dir C:/Users/Charl/Desktop/python_charlie/A1111/stable-diffusion-webui/models/Stable-diffusion --hypernetwork-dir C:/Users/Charl/Desktop/python_charlie/A1111/stable-diffusion-webui/models/hypernetworks --embeddings-dir C:/Users/Charl/Desktop/python_charlie/A1111/stable-diffusion-webui/embeddings --lora-dir C:/Users/Charl/Desktop/python_charlie/A1111/stable-diffusion-webui/models/Lora
Using cudaMallocAsync backend.
Total VRAM 4096 MB, total RAM 40628 MB
WARNING:xformers:A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
xformers version: 0.0.23.post1
Set vram state to: NORMAL_VRAM
Always pin shared GPU memory
Device: cuda:0 NVIDIA GeForce RTX 3050 Ti Laptop GPU : cudaMallocAsync
VAE dtype: torch.bfloat16
CUDA Stream Activated: True
Using xformers cross attention
ControlNet preprocessor location: C:\Users\Charl\Desktop\python_charlie\A1111\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor
Civitai Helper: Get Custom Model Folder
Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
Loading weights [15012c538f] from C:\Users\Charl\Desktop\python_charlie\A1111\webui_forge_cu121_torch21\webui\models\Stable-diffusion\realisticVisionV51_v51VAE.safetensors
2024-03-14 02:11:37,618 - ControlNet - INFO - ControlNet UI callback registered.
model_type EPS
UNet ADM Dimension 0
Civitai Helper: Set Proxy:
Running on local URL: http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 64.1s (prepare environment: 21.7s, import torch: 16.4s, import gradio: 2.9s, setup paths: 3.0s, initialize shared: 0.4s, other imports: 3.6s, load scripts: 10.2s, scripts list_optimizers: 0.2s, create ui: 3.0s, gradio launch: 0.8s, add APIs: 1.8s).
Using xformers attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using xformers attention in VAE
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
To load target model SD1ClipModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 3289.9630851745605
[Memory Management] Model Memory (MB) = 454.2076225280762
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 1811.7554626464844
Moving model(s) has taken 0.11 seconds
Model loaded in 11.5s (load weights from disk: 0.9s, forge load real models: 9.6s, calculate empty prompt: 0.8s).
Traceback (most recent call last):
File "C:\Users\Charl\Desktop\python_charlie\A1111\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\routes.py", line 488, in run_predict
output = await app.get_blocks().process_api(
File "C:\Users\Charl\Desktop\python_charlie\A1111\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\blocks.py", line 1429, in process_api
inputs = self.preprocess_data(fn_index, inputs, state)
File "C:\Users\Charl\Desktop\python_charlie\A1111\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\blocks.py", line 1239, in preprocess_data
processed_input.append(block.preprocess(inputs[i]))
File "C:\Users\Charl\Desktop\python_charlie\A1111\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\components\number.py", line 178, in preprocess
elif self.minimum is not None and x < self.minimum:
TypeError: '<' not supported between instances of 'str' and 'int'
```

### Additional information

_No response_

Start by reproducing Img2Img with the uploaded image, then trace the request through the Gradio call shown in routes.py and blocks.py to the Number component in gradio/components/number.py. The issue is done when the same clean-installation workflow completes generation without the reported TypeError.

Written by the indexing model from the issue text.