CUDA Stream Activated: False 库达流激活：假[Bug]:

### 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
- [ ] The issue exists in the current version of the webui
- [ ] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet

### What happened?

Total VRAM 6144 MB, total RAM 16298 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 2060 : native
Hint: your device supports --pin-shared-memory for potential speed improvements.
Hint: your device supports --cuda-malloc for potential speed improvements.
Hint: your device supports --cuda-stream for potential speed improvements.
VAE dtype: torch.float32
CUDA Stream Activated: False
Using pytorch cross attention
ControlNet preprocessor location: H:\forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor
Checkpoint realisticVisionV51_v51VAE.safetensors not found; loading fallback realisticVisionV60B1_v51HyperVAE.safetensors [f47e942ad4]
Loading weights [f47e942ad4] from H:\forge\webui_forge_cu121_torch21\webui\models\Stable-diffusion\realisticVisionV60B1_v51HyperVAE.safetensors
2024-06-07 10:47:25,426 - ControlNet - INFO - ControlNet UI callback registered.
model_type EPS
UNet ADM Dimension 0
Running on local URL: http://127.0.0.1:7860

### Steps to reproduce the problem

Total VRAM 6144 MB, total RAM 16298 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 2060 : native
Hint: your device supports --pin-shared-memory for potential speed improvements.
Hint: your device supports --cuda-malloc for potential speed improvements.
Hint: your device supports --cuda-stream for potential speed improvements.
VAE dtype: torch.float32
CUDA Stream Activated: False
Using pytorch cross attention
ControlNet preprocessor location: H:\forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor
Checkpoint realisticVisionV51_v51VAE.safetensors not found; loading fallback realisticVisionV60B1_v51HyperVAE.safetensors [f47e942ad4]
Loading weights [f47e942ad4] from H:\forge\webui_forge_cu121_torch21\webui\models\Stable-diffusion\realisticVisionV60B1_v51HyperVAE.safetensors
2024-06-07 10:47:25,426 - ControlNet - INFO - ControlNet UI callback registered.
model_type EPS
UNet ADM Dimension 0
Running on local URL: http://127.0.0.1:7860

### What should have happened?

Total VRAM 6144 MB, total RAM 16298 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 2060 : native
Hint: your device supports --pin-shared-memory for potential speed improvements.
Hint: your device supports --cuda-malloc for potential speed improvements.
Hint: your device supports --cuda-stream for potential speed improvements.
VAE dtype: torch.float32
CUDA Stream Activated: False
Using pytorch cross attention
ControlNet preprocessor location: H:\forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor
Checkpoint realisticVisionV51_v51VAE.safetensors not found; loading fallback realisticVisionV60B1_v51HyperVAE.safetensors [f47e942ad4]
Loading weights [f47e942ad4] from H:\forge\webui_forge_cu121_torch21\webui\models\Stable-diffusion\realisticVisionV60B1_v51HyperVAE.safetensors
2024-06-07 10:47:25,426 - ControlNet - INFO - ControlNet UI callback registered.
model_type EPS
UNet ADM Dimension 0
Running on local URL: http://127.0.0.1:7860

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

Microsoft Edge

### Sysinfo

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]
}

### Console logs

```Shell
To create a public link, set `share=True` in `launch()`.
Startup time: 34.6s (prepare environment: 16.2s, import torch: 6.8s, import gradio: 2.4s, setup paths: 2.8s, initialize shared: 0.2s, other imports: 2.0s, load scripts: 3.1s, create ui: 0.9s, gradio launch: 0.3s).
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
```

### Additional information

To create a public link, set `share=True` in `launch()`.
Startup time: 34.6s (prepare environment: 16.2s, import torch: 6.8s, import gradio: 2.4s, setup paths: 2.8s, initialize shared: 0.2s, other imports: 2.0s, load scripts: 3.1s, create ui: 0.9s, gradio launch: 0.3s).
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.

Start by reproducing the report from the clean installation with launch.py and review the startup output around CUDA Stream Activated: False. The issue does not name an implementation file or test, and it does not define what the expected CUDA stream behavior should be, so completion criteria need clarification before implementation.

Written by the indexing model from the issue text.