Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 85.0s (import torch: 3.0s, import gradio: 0.8s, import ldm: 0.4s, other imports: 0.8s, load scripts: 78.7s, create ui: 0.4s, gradio launch: 0.7s).
Initializing dreambooth training...
Pre-processing images: web ui tutorial: : 360it [00:17, 20.54it/s]
Nothing to generate./1:   0%|▏                                                       | 1/330 [00:17<1:36:07, 17.53s/it]
                                                                                                                       Enabling xformers memory efficient attention for unet                                           | 0/330 [00:00<?, ?it/s]
Enabling xformers memory efficient attention for unet
                                                                                                                       Found 300 reg images.%|                                                                         | 0/330 [00:00<?, ?it/s]
Preparing dataset...
Init dataset!
Preparing Dataset (With Caching)
                                                                                                                       Loading cached latents...|                                                                      | 0/330 [00:00<?, ?it/s]
Bucket 0 (512, 512, 0) - Instance Images: 30 | Class Images: 300 | Max Examples/batch:  60
                                                                                                                       Saving cache!nts...: 100%|████████████████████████████████████████████████████████████| 330/330 [00:30<00:00, 11.50it/s]
Total Buckets 1 - Instance Images: 30 | Class Images: 300 | Max Examples/batch:  60

Total images / batch: 60, total examples: 60█████████████████████████████████████████| 330/330 [00:30<00:00, 11.50it/s]
                                                                                                                       Total dataset length (steps): 60
                  Initializing bucket counter!
Steps:   2%|     | 300/18000 [02:41<2:29:34,  1ERROR:    Exception in ASGI applicatione-6, prior_loss=0.0327, vram=9.6]
Traceback (most recent call last):00:00, ?it/s]
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\uvicorn\protocols\websockets\websockets_impl.py", line 254, in run_asgi
    result = await self.app(self.scope, self.asgi_receive, self.asgi_send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\uvicorn\middleware\proxy_headers.py", line 78, in __call__
    return await self.app(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\fastapi\applications.py", line 276, in __call__
    await super().__call__(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\applications.py", line 122, in __call__
    await self.middleware_stack(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\errors.py", line 149, in __call__
    await self.app(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\cors.py", line 76, in __call__
    await self.app(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\gzip.py", line 26, in __call__
    await self.app(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\exceptions.py", line 79, in __call__
    raise exc
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\exceptions.py", line 68, in __call__
    await self.app(scope, receive, sender)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 21, in __call__
    raise e
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 18, in __call__
    await self.app(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\routing.py", line 718, in __call__
    await route.handle(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\routing.py", line 341, in handle
    await self.app(scope, receive, send)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\routing.py", line 82, in app
    await func(session)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\fastapi\routing.py", line 289, in app
    await dependant.call(**values)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 516, in join_queue
    await asyncio.wait_for(
  File "C:\Users\Anton\AppData\Local\Programs\Python\Python310\lib\asyncio\tasks.py", line 445, in wait_for
    return fut.result()
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\websockets.py", line 173, in send_json
    await self.send({"type": "websocket.send", "text": text})
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\websockets.py", line 85, in send
    await self._send(message)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\starlette\middleware\exceptions.py", line 65, in sender
    await send(message)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\uvicorn\protocols\websockets\websockets_impl.py", line 327, in asgi_send
    await self.send(data)  # type: ignore[arg-type]
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\websockets\legacy\protocol.py", line 635, in send
    await self.ensure_open()
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\websockets\legacy\protocol.py", line 935, in ensure_open
    raise self.connection_closed_exc()
websockets.exceptions.ConnectionClosedError: no close frame received or sent
                                                                                                                       Exception saving sample.%|                                                                        | 0/4 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "C:\SB\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_dreambooth.py", line 1032, in save_weights
    s_image = s_pipeline(
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.py", line 645, in __call__
    prompt_embeds = self._encode_prompt(
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.py", line 357, in _encode_prompt
    prompt_embeds = self.text_encoder(
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\accelerate\hooks.py", line 165, in new_forward
    output = old_forward(*args, **kwargs)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 816, in forward
    return self.text_model(
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 717, in forward
    causal_attention_mask = self._build_causal_attention_mask(
  File "C:\SB\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 760, in _build_causal_attention_mask
    mask.triu_(1)  # zero out the lower diagonal
RuntimeError: "triu_tril_cuda_template" not implemented for 'BFloat16'
Traceback (most recent call last):
  File "C:\SB\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\ui_functions.py", line 729, in start_training
    result = main(class_gen_method=class_gen_method)
  File "C:\SB\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_dreambooth.py", line 1546, in main
    return inner_loop()
  File "C:\SB\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\memory.py", line 119, in decorator
    return function(batch_size, grad_size, prof, *args, **kwargs)
  File "C:\SB\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_dreambooth.py", line 1500, in inner_loop
    check_save(True)
  File "C:\SB\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_dreambooth.py", line 794, in check_save
    save_weights(
  File "C:\SB\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_dreambooth.py", line 1066, in save_weights
    shutil.rmtree(tmp_dir)
  File "C:\Users\Anton\AppData\Local\Programs\Python\Python310\lib\shutil.py", line 749, in rmtree
    return _rmtree_unsafe(path, onerror)
  File "C:\Users\Anton\AppData\Local\Programs\Python\Python310\lib\shutil.py", line 614, in _rmtree_unsafe
    _rmtree_unsafe(fullname, onerror)
  File "C:\Users\Anton\AppData\Local\Programs\Python\Python310\lib\shutil.py", line 619, in _rmtree_unsafe
    onerror(os.unlink, fullname, sys.exc_info())
  File "C:\Users\Anton\AppData\Local\Programs\Python\Python310\lib\shutil.py", line 617, in _rmtree_unsafe
    os.unlink(fullname)
PermissionError: [WinError 5] Отказано в доступе: 'C:\\Temp\\tmplgsw5qop\\text_encoder\\model.safetensors'
Steps:   2%|     | 300/18000 [03:24<3:20:39,  1.47it/s, inst_loss=0, loss=0.0245, lr=2e-6, prior_loss=0.0327, vram=9.6]
Generating Samples:   0%|                                                                        | 0/4 [00:01<?, ?it/s]
Restored system models.
Duration: 00:04:42