after I upgraded to version 1.6 everything stopped working

[Idkwhtdo]

I upgraded to version 1.6, but after the update WebUI stopped working, after a lot of work to reinstall everything from scratch I got to the error about lack of Vram, but before the update (like on version 1.4-1.5) everything worked fine up to the size of 712 x 712, but now I get an error when generating 512 x 512, and also the console content is very large and seems to repeat sometimes.

console:

venv "F:\AI\SdWebui\venv\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: v1.6.0-2-g4afaaf8a
Commit hash: 4afaaf8
Launching Web UI with arguments: --xformers --opt-split-attention --no-half
Loading weights [8145104977] from F:\AI\SdWebui\models\Stable-diffusion\Tested working model.safetensors
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
Creating model from config: F:\AI\SdWebui\configs\v1-inference.yaml
Startup time: 7.9s (prepare environment: 1.7s, import torch: 2.6s, import gradio: 0.7s, setup paths: 0.6s, initialize shared: 0.2s, other imports: 0.5s, load scripts: 0.7s, create ui: 0.4s, gradio launch: 0.4s).
loading stable diffusion model: OutOfMemoryError
Traceback (most recent call last):
File "C:\Users\User1\AppData\Local\Programs\Python\Python310\lib\threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "C:\Users\User1\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\User1\AppData\Local\Programs\Python\Python310\lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "F:\AI\SdWebui\modules\initialize.py", line 147, in load_model
shared.sd_model # noqa: B018
File "F:\AI\SdWebui\modules\shared_items.py", line 110, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "F:\AI\SdWebui\modules\sd_models.py", line 499, in get_sd_model
load_model()
File "F:\AI\SdWebui\modules\sd_models.py", line 626, in load_model
load_model_weights(sd_model, checkpoint_info, state_dict, timer)
File "F:\AI\SdWebui\modules\sd_models.py", line 367, in load_model_weights
model.float()
File "F:\AI\SdWebui\venv\lib\site-packages\lightning_fabric\utilities\device_dtype_mixin.py", line 88, in float
return super().float()
File "F:\AI\SdWebui\venv\lib\site-packages\torch\nn\modules\module.py", line 979, in float
return self._apply(lambda t: t.float() if t.is_floating_point() else t)
File "F:\AI\SdWebui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
File "F:\AI\SdWebui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
File "F:\AI\SdWebui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
[Previous line repeated 4 more times]
File "F:\AI\SdWebui\venv\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply
param_applied = fn(param)
File "F:\AI\SdWebui\venv\lib\site-packages\torch\nn\modules\module.py", line 979, in
return self._apply(lambda t: t.float() if t.is_floating_point() else t)
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 114.00 MiB (GPU 0; 4.00 GiB total capacity; 2.69 GiB already allocated; 0 bytes free; 2.99 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF