sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: flutter
Issue: [google_sign_in] close one tap ui in web programatically
Labels: c: new feature,platform-web,p: google_sign_in,package,c: proposal,P3,team-web,triaged-web

### Is there an existing issue for this?

- [X] I have searched the [existing issues](https://github.com/flutter/flutter/issues)
- [X] I have read the [guide to filing a bug](https://flutter.dev/docs/resources/bug-reports)

### Use case

using google_sign_in and using     

`_googleSignIn.signInSilently();`

i can show the one tap ui, but user signed in using normal account and password i cant hide the one tap ui, specially on mobile since it takes most of the space




### Proposal

what i think will be awesome if there is a way to hide the one tap ui

like `_googleSignIn.closeOneTap();`

i couldnt find a way to do it, neither did i see it in the example and couldnt find an issue related to that
Repository: transformers
Issue: Add Context AutoEncoder (CAE)
Labels: New model

### Model description

**The corresponding paper has been accepted by International Journal of Computer Vision (IJCV).**

We present a novel masked image modeling (MIM) approach, context autoencoder (CAE), for self-supervised representation pretraining. We pretrain an encoder by making predictions in the encoded representation space. The pretraining tasks include two tasks: masked representation prediction - predict the representations for the masked patches, and masked patch reconstruction - reconstruct the masked patches. The network is an encoder-regressor-decoder architecture: the encoder takes the visible patches as input; the regressor predicts the representations of the masked patches, which are expected to be aligned with the representations computed from the encoder, using the representations of visible patches and the positions of visible and masked patches; the decoder reconstructs the masked patches from the predicted encoded representations. The CAE design encourages the separation of learning the encoder (representation) from completing the pertaining tasks: masked representation prediction and masked patch reconstruction tasks, and making predictions in the encoded representation space empirically shows the benefit to representation learning. We demonstrate the effectiveness of our CAE through superior transfer performance in downstream tasks: semantic segmentation, object detection and instance segmentation, and classification.

### Open source status

- [X] The model implementation is available
- [X] The model weights are available

### Provide useful links for the implementation

Code link: https://github.com/Atten4Vis/CAE
Author: @charlesCXK
Paper link: https://arxiv.org/abs/2202.03026
Repository: pytorch
Issue: Integer calculation overflow when running torch.nn.functional.adaptive_avg_pool2d
Labels: triaged,module: int overflow

### 🐛 Describe the bug

Due to large integer list elements.

Code:
```
import torch
import numpy as np
arg_1_tensor = -torch.rand([128, 1024, 4, 4], dtype=torch.float32)
arg_1 = arg_1_tensor.clone()
arg_2_0 = 1250999896765
arg_2_1 = 1250999896764
arg_2 = [arg_2_0,arg_2_1,]
try:
  res = torch.nn.functional.adaptive_avg_pool2d(arg_1,arg_2,)
except Exception as e:
  print("Error:"+str(e))
```

Log message:
```
Error:numel: integer multiplication overflow
```

### Versions

### Versions

PyTorch version: 1.13.1
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.9.15 (main, Nov 24 2022, 14:31:59) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to:
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1660 Ti
Nvidia driver version: 525.60.11
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.12.0
[pip3] torchaudio==0.12.0
[pip3] torchvision==0.13.0
[conda] blas 1.0 mkl
[conda] cudatoolkit 11.3.1 h2bc3f7f_2
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py39h7f8727e_0
[conda] mkl_fft 1.3.1 py39hd3c417c_0
[conda] mkl_random 1.2.2 py39h51133e4_0
[conda] numpy 1.23.5 py39h14f4228_0
[conda] numpy-base 1.23.5 py39h31eccc5_0
[conda] pytorch 1.12.0 py3.9_cuda11.3_cudnn8.3.2_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 0.12.0 py39_cu113 pytorch
[conda] torchvision 0.13.0 py39_cu113 pytorch
Repository: godot
Issue: Godot 4.1.1 your video card drivers seem not to support the required vulkan version
Labels: bug,topic:rendering,needs testing

### Godot version

4.1.1

### System information

Windows 10 pro

### Issue description

When running the game (Godot 4.1.1) on a 1660 graphics card (latest drivers installed), the game drop a Vulcan error. "your video card drivers seem not to support the required vulkan version". The integrated intel graphics card is disabled in the BIOS. 1660 definitely supports Vulcan.

![image](https://github.com/godotengine/godot/assets/790695/dde78095-3de0-42cf-86f9-3ec8d5b334d5)


### Steps to reproduce

Start Godot 4.1.1 game on 1660 SUPER.

### Minimal reproduction project

Any project on godot 4.1.1
Repository: rust
Issue: PR CI is not building rust-analyzer
Labels: A-CI

In https://github.com/rust-lang/rust/pull/114993 I ran down the totally wrong path for a while when I saw an RA build failure in bors -- PR CI was fine, so I was sure this must have been something odd about the bors builder. Turns out however we just don't check if RA builds, not even if `src/tools/rust-analyzer` is changed by the PR.

I thought the mingw-check builder does at least a check-build of *everything*, but that does not seem to be the case?
@rust-lang/rust-analyzer @rust-lang/infra
Repository: tauri
Issue: [feat]: mock emit listeners in frontend
Labels: scope: api.js,type: feature request

### Describe the problem

In my frontend I have a few `listener` calls.
I'd like to test them in unit tests.
Currently the way I do that is cumbersome. In example, when I'm waiting for a response from Rust:
```
// top of `spec`
vite.mock('@tauri-apps/api/event');

// inside a test case
const tauriEvent = await import('@tauri-apps/api/event');
let listenCallback = null;
// mock `listen`
tauriEvent.listen.mockImplementation((event, callback) => {
     if (event === 'responseToMyEvent') {
         listenCallback = callback;
     }
});
const payload = {test: 'test'};
// mock the IPC to emulate request from client and response from server
mockIPC((cmd, args) => {
      if(cmd === "myEvent") {
         // mock response from server
          return listenCallback ? listenCallback(payload) : null;
      }
});
// call the invoking function
await functionThatInvokesMyEvent();
expect(spyInListenCallback).toHaveBeenCalled();
```

This is quite cumbersome and not so user friendly. I'd be happy for a feature that will emulate `emit` from the Rust backend in client tests.

Thanks!

### Describe the solution you'd like

A possible solution would be to add `mockEmit` to `@tauri-apps/api/mocks"`.
Simple usage will be something like:
`mockEmit(eventName, payload);`
This might work along with `mockWindows` to emit a global or to specific windows:
`mockEmit(eventName, payload, windows)`

### Alternatives considered

_No response_

### Additional context

_No response_
Repository: pytorch
Issue: Integer multiplication overflow when running torch.eye
Labels: triaged,module: int overflow

### 🐛 Describe the bug

Due to a very large integer argument.

Code:
```
import torch
import numpy as np
arg_1 = 1250999896765
try:
  res = torch.eye(arg_1,)
except Exception as e:
  print("Error:"+str(e))
```

Log message:
```
Error:numel: integer multiplication overflow
```

### Versions

PyTorch version: 1.13.1
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.9.15 (main, Nov 24 2022, 14:31:59) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to:
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1660 Ti
Nvidia driver version: 525.60.11
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.12.0
[pip3] torchaudio==0.12.0
[pip3] torchvision==0.13.0
[conda] blas 1.0 mkl
[conda] cudatoolkit 11.3.1 h2bc3f7f_2
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py39h7f8727e_0
[conda] mkl_fft 1.3.1 py39hd3c417c_0
[conda] mkl_random 1.2.2 py39h51133e4_0
[conda] numpy 1.23.5 py39h14f4228_0
[conda] numpy-base 1.23.5 py39h31eccc5_0
[conda] pytorch 1.12.0 py3.9_cuda11.3_cudnn8.3.2_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 0.12.0 py39_cu113 pytorch
[conda] torchvision 0.13.0 py39_cu113 pytorch
Repository: pytorch
Issue: Storage size calculation overflowed when running torch.nn.functional.interpolate
Labels: triaged,module: int overflow

### 🐛 Describe the bug

Due to a very large integer variable.

```
import torch
import numpy as np
arg_1_tensor = torch.neg(torch.rand([1, 256, 14, 14], dtype=torch.float32))
arg_1 = arg_1_tensor.clone()
arg_2 = 1250999896765
arg_3 = "bilinear"
arg_4 = True
try:
  res = torch.nn.functional.interpolate(arg_1,scale_factor=arg_2,mode=arg_3,align_corners=arg_4,)
except Exception as e:
  print("Error:"+str(e))
```

Output:
```
Error:Storage size calculation overflowed with sizes=[1, 256, 17513998554710, 17513998554710]
```

### Versions

PyTorch version: 1.13.1
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.9.15 (main, Nov 24 2022, 14:31:59) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to:
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1660 Ti
Nvidia driver version: 525.60.11
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.12.0
[pip3] torchaudio==0.12.0
[pip3] torchvision==0.13.0
[conda] blas 1.0 mkl
[conda] cudatoolkit 11.3.1 h2bc3f7f_2
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py39h7f8727e_0
[conda] mkl_fft 1.3.1 py39hd3c417c_0
[conda] mkl_random 1.2.2 py39h51133e4_0
[conda] numpy 1.23.5 py39h14f4228_0
[conda] numpy-base 1.23.5 py39h31eccc5_0
[conda] pytorch 1.12.0 py3.9_cuda11.3_cudnn8.3.2_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 0.12.0 py39_cu113 pytorch
[conda] torchvision 0.13.0 py39_cu113 pytorch
Repository: pytorch
Issue: Integer multiplication overflow when running torch.diagflat
Labels: triaged,module: int overflow

### 🐛 Describe the bug

Due to arg_2 = 1250999896764

```
import torch
import numpy as np
arg_1_tensor = -torch.rand([3], dtype=torch.float64)
arg_1 = arg_1_tensor.clone()
arg_2 = 1250999896764
try:
  res = torch.diagflat(arg_1,arg_2,)
except Exception as e:
  print("Error:"+str(e))
```

### Versions

```
PyTorch version: 1.13.1
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.9.15 (main, Nov 24 2022, 14:31:59) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to:
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1660 Ti
Nvidia driver version: 525.60.11
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.12.0
[pip3] torchaudio==0.12.0
[pip3] torchvision==0.13.0
[conda] blas 1.0 mkl
[conda] cudatoolkit 11.3.1 h2bc3f7f_2
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py39h7f8727e_0
[conda] mkl_fft 1.3.1 py39hd3c417c_0
[conda] mkl_random 1.2.2 py39h51133e4_0
[conda] numpy 1.23.5 py39h14f4228_0
[conda] numpy-base 1.23.5 py39h31eccc5_0
[conda] pytorch 1.12.0 py3.9_cuda11.3_cudnn8.3.2_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 0.12.0 py39_cu113 pytorch
[conda] torchvision 0.13.0 py39_cu113 pytorch
```
Repository: pytorch
Issue: Integer multiplication overflow when running torch.nn.MaxUnpool3d
Labels: triaged,module: int overflow

### 🐛 Describe the bug

Due to arg_1 = -23287

```
import torch
import numpy as np
arg_1 = -23287
arg_2 = 2
arg_class = torch.nn.MaxUnpool3d(arg_1,stride=arg_2,)
arg_3_0_tensor = torch.rand([20, 16, 25, 16, 7], dtype=torch.float32)
arg_3_0 = arg_3_0_tensor.clone()
arg_3_1_tensor = torch.randint(-1024,8,[20, 16, 25, 16, 7], dtype=torch.int64)
arg_3_1 = arg_3_1_tensor.clone()
arg_3 = [arg_3_0,arg_3_1,]
try:
  res = arg_class(*arg_3)
except Exception as e:
  print("Error:"+str(e))
```

### Versions

PyTorch version: 1.13.1
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.9.15 (main, Nov 24 2022, 14:31:59) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to:
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1660 Ti
Nvidia driver version: 525.60.11
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.12.0
[pip3] torchaudio==0.12.0
[pip3] torchvision==0.13.0
[conda] blas 1.0 mkl
[conda] cudatoolkit 11.3.1 h2bc3f7f_2
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py39h7f8727e_0
[conda] mkl_fft 1.3.1 py39hd3c417c_0
[conda] mkl_random 1.2.2 py39h51133e4_0
[conda] numpy 1.23.5 py39h14f4228_0
[conda] numpy-base 1.23.5 py39h31eccc5_0
[conda] pytorch 1.12.0 py3.9_cuda11.3_cudnn8.3.2_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 0.12.0 py39_cu113 pytorch
[conda] torchvision 0.13.0 py39_cu113 pytorch
Repository: pytorch
Issue: Integer multiplication overflow when running torch.nn.AdaptiveAvgPool2d
Labels: triaged,module: int overflow

### 🐛 Describe the bug

Due to arg_1 = 1250999900000

```
import torch
import numpy as np
arg_1 = 1250999900000
arg_class = torch.nn.AdaptiveAvgPool2d(arg_1,)
arg_2_0_tensor = torch.rand([80, 128, 16, 16], dtype=torch.float32)
arg_2_0 = arg_2_0_tensor.clone()
arg_2 = [arg_2_0,]
try:
  res = arg_class(*arg_2)
except Exception as e:
  print("Error:"+str(e))
```

### Versions

```
PyTorch version: 1.13.1
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.9.15 (main, Nov 24 2022, 14:31:59) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to:
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1660 Ti
Nvidia driver version: 525.60.11
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.12.0
[pip3] torchaudio==0.12.0
[pip3] torchvision==0.13.0
[conda] blas 1.0 mkl
[conda] cudatoolkit 11.3.1 h2bc3f7f_2
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py39h7f8727e_0
[conda] mkl_fft 1.3.1 py39hd3c417c_0
[conda] mkl_random 1.2.2 py39h51133e4_0
[conda] numpy 1.23.5 py39h14f4228_0
[conda] numpy-base 1.23.5 py39h31eccc5_0
[conda] pytorch 1.12.0 py3.9_cuda11.3_cudnn8.3.2_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 0.12.0 py39_cu113 pytorch
[conda] torchvision 0.13.0 py39_cu113 pytorch
```
Repository: next.js
Issue: Intercepting Routes in route group 404 when build, start but working in dev
Labels: bug,TypeScript,Parallel & Intercepting Routes

### Verify canary release

- [X] I verified that the issue exists in the latest Next.js canary release

### Provide environment information

```bash
Operating System:
      Platform: win32
      Arch: x64
      Version: Windows 10 Pro
    Binaries:
      Node: 18.17.0
      npm: N/A
      Yarn: N/A
      pnpm: N/A
    Relevant Packages:
      next: 13.4.19
      eslint-config-next: 13.4.19
      react: 18.2.0
      react-dom: 18.2.0
      typescript: 5.1.6
    Next.js Config:
      output: N/A
```


### Which area(s) of Next.js are affected? (leave empty if unsure)

App Router, TypeScript (plugin, built-in types)

### Link to the code that reproduces this issue or a replay of the bug

sorry it private project

### To Reproduce

This is my route structure using @ inside () and []
![image](https://github.com/vercel/next.js/assets/14286010/1fbca3e0-0987-499d-9758-541b53429a17)

I placed modal in layout.tsx
![image](https://github.com/vercel/next.js/assets/14286010/d8f0ffb6-d92b-404f-889e-a7d5e57358de)

### Describe the Bug


Its work fine in development: yarn run dev
But not working when build: always show 404 when click on <Link href="/cart" />, when enter direct in browser it redirect to right page /cart

You can check it here: https://glamping.vn-sightseeing.com/, it show 404

In dev mode, route work nomarly, show popup when click on cart button
![image](https://github.com/vercel/next.js/assets/14286010/1be6737d-d365-4eb0-a7fc-05da5fb31644)


### Expected Behavior

I use interception routes for /cart
- Open modal when not /cart page
- Open cart view when user enter direct /cart in browser

### Which browser are you using? (if relevant)

microsoft edge

### How are you deploying your application? (if relevant)

next start
Repository: next.js
Issue: Full page reload (HMR Bug)
Labels: bug

### Verify canary release

- [X] I verified that the issue exists in the latest Next.js canary release

### Provide environment information

```bash
In a standard instance of Next, the issue arises in the pages folder, I have not tested the app router.
```


### Which area(s) of Next.js are affected? (leave empty if unsure)

_No response_

### Link to the code that reproduces this issue or a replay of the bug

none

### To Reproduce

You can start the current version of Next and create a new page with the following contents. 
```
export default function test() {
  return <div>test</div>;
}
```
### Describe the Bug

When a page is created with a lowercase, it causes a full page to reload when HMR (hot module reload) is detected. To fix this, you need to capitalize the default export of the page.

### Expected Behavior

We need something to fix this issue or notify developers of it inside their IDEs.

### Which browser are you using? (if relevant)

_No response_

### How are you deploying your application? (if relevant)

_No response_
Repository: stable-diffusion-webui
Issue: [Bug]: TypeError: 'NoneType' object is not subscriptable,use Script:prompts from file or textbox
Labels: bug-report

### Is there an existing issue for this?

- [X] I have searched the existing issues and checked the recent builds/commits

### What happened?

image to image throw Error "TypeError: 'NoneType' object is not subscriptable"

### Steps to reproduce the problem


<img width="990" alt="image" src="https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/135701214/2ca4237e-4d41-43d6-b89a-4ff58bb9713a">

1. Go to image to image
2. Batch,fill Input directory and Output directory 
3. Enable controlNet ,control Type:canny, Batch input directory (folder have 2 images)
- <img width="927" alt="image" src="https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/135701214/50bf1c0d-bdcb-4b04-9714-8be92e3565b4">
4.Script:prompts from file or textbox: 
- 1boy
- 1girl
- <img width="328" alt="image" src="https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/135701214/1aef8fb4-96d7-401a-ad5c-4368e96c4293">


5.generate,throw Error "TypeError: 'NoneType' object is not subscriptable"
- <img width="902" alt="image" src="https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/135701214/1a6beb6e-db8d-4f94-b37c-5bf53bcd3b8c">



### What should have happened?

It should success to generate 2 images which uses prompt "1boy" and "1girl" separately
(input folder have 2 images, prompt input text line1"1boy" and line2 "1girl")

### Version or Commit where the problem happens

V1.5.1

### What Python version are you running on ?

None

### What platforms do you use to access the UI ?

_No response_

### What device are you running WebUI on?

_No response_

### Cross attention optimization

Automatic

### What browsers do you use to access the UI ?

_No response_

### Command Line Arguments

```Shell
no
```


### List of extensions

no

### Console logs

```Shell
no
```


### Additional information

_No response_