When deploying ComfyUI on a fresh Windows installation using Miniconda, I encountered the "1Torch was not compiled with flash attention" warning during the initial inference.

I have adopted a fresh installation, encountering the same issue. I've already spent three days trying to resolve it. So far, none of the methods I've tried have worked, and I also feel like the speed when using the sdxl model is not as fast as before (this might be my perception). In order to address this warning, I have switched the CUDA version in the system to 12.1 and tried different versions of Torch, but the warning persists. I want to know if this has any negative impact on my use of ComfyUI?

`
D:\AI\ComfyUI>call conda activate D:\AI\ComfyUI\venv-comfyui
Total VRAM 8188 MB, total RAM 65268 MB
xformers version: 0.0.25.post1
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 4060 Laptop GPU : cudaMallocAsync
VAE dtype: torch.bfloat16
Using xformers cross attention

Import times for custom nodes:
0.0 seconds: D:\AI\ComfyUI\custom_nodes\websocket_image_save.py

Starting server

To see the GUI go to: http://127.0.0.1:8188
got prompt
model_type EPS
Using xformers attention in VAE
Using xformers attention in VAE
clip missing: ['clip_l.logit_scale', 'clip_l.transformer.text_projection.weight']
Requested to load SDXLClipModel
Loading 1 new model
D:\AI\ComfyUI\comfy\ldm\modules\attention.py:345: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:263.)
out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False)
Requested to load SDXL
Loading 1 new model
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:12<00:00, 1.65it/s]
Requested to load AutoencoderKL
Loading 1 new model
Prompt executed in 20.37 seconds`