WebUI Forge stops after 100% generating images from text

[Yubu02]

Specs : RTX 3050 Mobile 6GB, AMD Ryzen 7 8845HS, 16GB

this is what is written in CMD

Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-previous-636-gb835f24a
Commit hash: b835f24
Launching Web UI with arguments:
Total VRAM 6144 MB, total RAM 15631 MB
pytorch version: 2.3.1+cu121
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3050 6GB Laptop GPU : native
Hint: your device supports --cuda-malloc for potential speed improvements.
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
CUDA Using Stream: False
C:\Users\yusuf\OneDrive\Desktop\ForgeUI\system\python\lib\site-packages\transformers\utils\hub.py:128: FutureWarning: Using TRANSFORMERS_CACHE is deprecated and will be removed in v5 of Transformers. Use HF_HOME instead.
warnings.warn(
Using pytorch cross attention
Using pytorch attention for VAE
ControlNet preprocessor location: C:\Users\yusuf\OneDrive\Desktop\ForgeUI\webui\models\ControlNetPreprocessor
2025-01-26 02:37:23,975 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\Users\yusuf\OneDrive\Desktop\ForgeUI\webui\models\Stable-diffusion\flux1-dev-bnb-nf4-v2.safetensors', 'hash': 'f0770152'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
Startup time: 26.6s (prepare environment: 6.2s, launcher: 0.7s, import torch: 12.2s, initialize shared: 0.3s, other imports: 0.6s, load scripts: 2.6s, create ui: 2.7s, gradio launch: 1.2s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 83.33% GPU memory (5119.00 MB) to load weights, and use 16.67% GPU memory (1024.00 MB) to do matrix computation.
Loading Model: {'checkpoint_info': {'filename': 'C:\Users\yusuf\OneDrive\Desktop\ForgeUI\webui\models\Stable-diffusion\flux1-dev-bnb-nf4-v2.safetensors', 'hash': 'f0770152'}, 'additional_modules': [], 'unet_storage_dtype': None}
[Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done.
StateDict Keys: {'transformer': 1722, 'vae': 244, 'text_encoder': 198, 'text_encoder_2': 220, 'ignore': 0}
Using Detected T5 Data Type: torch.float8_e4m3fn
Using Detected UNet Type: nf4
Using pre-quant state dict!
Working with z of shape (1, 16, 32, 32) = 16384 dimensions.
K-Model Created: {'storage_dtype': 'nf4', 'computation_dtype': torch.bfloat16}
Model loaded in 2.7s (unload existing model: 0.3s, forge model load: 2.5s).
Skipping unconditional conditioning when CFG = 1. Negative Prompts are ignored.
[Unload] Trying to free 7725.00 MB for cuda:0 with 0 models keep loaded ... Done.
[Memory Management] Target: JointTextEncoder, Free GPU: 5144.00 MB, Model Require: 5154.62 MB, Previously Loaded: 0.00 MB, Inference Require: 1024.00 MB, Remaining: -1034.62 MB, CPU Swap Loaded (blocked method): 2094.38 MB, GPU Loaded: 3132.62 MB
Moving model(s) has taken 6.04 seconds
Distilled CFG Scale: 3.5
[Unload] Trying to free 9411.13 MB for cuda:0 with 0 models keep loaded ... Current free memory is 1395.05 MB ... Unload model JointTextEncoder Done.
[Memory Management] Target: KModel, Free GPU: 5104.41 MB, Model Require: 6246.84 MB, Previously Loaded: 0.00 MB, Inference Require: 1024.00 MB, Remaining: -2166.43 MB, CPU Swap Loaded (blocked method): 3113.55 MB, GPU Loaded: 3133.29 MB
Moving model(s) has taken 10.40 seconds
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [02:10<00:00, 6.51s/it]
Press any key to continue . . . ███████████████████████████████████████████████████████| 20/20 [01:57<00:00, 6.27s/it]

I use flux1-dev-bnb-nf4-v2.safetensors, and clip_l.savetensors, whereas if I just use the built-in standard SDXL, nothing happens

Please help me