After updating to version 0.3.60, KSample keeps getting stuck when running a simple workflow.

### Custom Node Testing

- [ ] I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help)

### Expected Behavior

After updating to version 0.3.60, KSample keeps getting stuck when running a simple workflow.

### Actual Behavior

### Steps to Reproduce

### Debug Logs

```powershell
Adding extra search path checkpoints /mnt/sd-models/models/Stable-diffusion
Adding extra search path configs /mnt/sd-models/models/Stable-diffusion
Adding extra search path vae /mnt/sd-models/models/VAE
Adding extra search path loras /mnt/sd-models/models/Lora
Adding extra search path loras /mnt/sd-models/models/LyCORIS
Adding extra search path upscale_models /mnt/sd-models/models/ESRGAN
Adding extra search path upscale_models /mnt/sd-models/models/RealESRGAN
Adding extra search path upscale_models /mnt/sd-models/models/SwinIR
Adding extra search path embeddings /mnt/sd-models/embeddings
Adding extra search path hypernetworks /mnt/sd-models/models/hypernetworks
Adding extra search path controlnet /mnt/sd-models/models/ControlNet
Set cuda device to: 3
Checkpoint files will always be loaded safely.
Total VRAM 24217 MB, total RAM 257580 MB
pytorch version: 2.8.0+cu128
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 4090 : cudaMallocAsync
Using pytorch attention
Python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]
ComfyUI version: 0.3.60
ComfyUI frontend version: 1.26.13
[Prompt Server] web root: /home/ai/anaconda3/envs/comfyui-new/lib/python3.10/site-packages/comfyui_frontend_package/static
Skipping loading of custom nodes
Context impl SQLiteImpl.
Will assume non-transactional DDL.
No target revision found.
Starting server

To see the GUI go to: http://0.0.0.0:8088
got prompt
model weight dtype torch.float8_e4m3fn, manual cast: torch.bfloat16
model_type FLUX
Using pytorch attention in VAE
Using pytorch attention in VAE
VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
Requested to load FluxClipModel_
loaded completely 22207.3 4777.53759765625 True
Requested to load Flux
loaded completely 17133.029314605712 11350.067443847656 True
0%| | 0/20 [00:00