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  1. venv "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\Scripts\Python.exe"
  2. Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
  3. Version: v1.10.1-amd-21-g3cf53018
  4. Commit hash: 3cf530186f76d0005e4c791cca9a0d8f4aa013c4
  5. WARNING: you should not skip torch test unless you want CPU to work.
  6. Installing requirements
  7. C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\timm\models\layers\__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
  8. warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)
  9. no module 'xformers'. Processing without...
  10. no module 'xformers'. Processing without...
  11. No module 'xformers'. Proceeding without it.
  12. C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\utilities\distributed.py:258: LightningDeprecationWarning: `pytorch_lightning.utilities.distributed.rank_zero_only` has been deprecated in v1.8.1 and will be removed in v2.0.0. You can import it from `pytorch_lightning.utilities` instead.
  13. rank_zero_deprecation(
  14. Launching Web UI with arguments: --skip-torch-cuda-test --use-directml --device-id 1
  15. Warning: caught exception 'Something went wrong.', memory monitor disabled
  16. ONNX failed to initialize: module optimum.onnxruntime has no attribute ORTStableDiffusionXLPipeline
  17. Loading weights [338b85bc4f] from C:\Users\aarya\stable-diffusion-webui-amdgpu\models\Stable-diffusion\juggernaut_reborn.safetensors
  18. Creating model from config: C:\Users\aarya\stable-diffusion-webui-amdgpu\configs\v1-inference.yaml
  19. C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  20. warnings.warn(
  21. Running on local URL: http://127.0.0.1:7860
  22.  
  23. To create a public link, set `share=True` in `launch()`.
  24. Startup time: 64.3s (prepare environment: 72.5s, initialize shared: 1.7s, other imports: 0.1s, load scripts: 1.2s, create ui: 0.6s, gradio launch: 0.4s).
  25. Applying attention optimization: Doggettx... done.
  26. Model loaded in 6.8s (load weights from disk: 0.5s, create model: 0.8s, apply weights to model: 4.2s, apply half(): 0.1s, move model to device: 0.2s, calculate empty prompt: 1.0s).
  27. C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\safe.py:156: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  28. return unsafe_torch_load(filename, *args, **kwargs)
  29. 0%| | 0/20 [00:00<?, ?it/s]
  30. *** Error completing request
  31. *** Arguments: ('task(3yebpe6ninfw7x1)', <gradio.routes.Request object at 0x000001EF89A239D0>, '', '', [], 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
  32. Traceback (most recent call last):
  33. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 74, in f
  34. res = list(func(*args, **kwargs))
  35. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 53, in f
  36. res = func(*args, **kwargs)
  37. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 37, in f
  38. res = func(*args, **kwargs)
  39. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\txt2img.py", line 109, in txt2img
  40. processed = processing.process_images(p)
  41. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\processing.py", line 849, in process_images
  42. res = process_images_inner(p)
  43. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\processing.py", line 1083, in process_images_inner
  44. samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
  45. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\processing.py", line 1441, in sample
  46. samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
  47. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_samplers_kdiffusion.py", line 233, in sample
  48. samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  49. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_samplers_common.py", line 272, in launch_sampling
  50. return func()
  51. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_samplers_kdiffusion.py", line 233, in <lambda>
  52. samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  53. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
  54. return func(*args, **kwargs)
  55. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\k-diffusion\k_diffusion\sampling.py", line 594, in sample_dpmpp_2m
  56. denoised = model(x, sigmas[i] * s_in, **extra_args)
  57. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
  58. return self._call_impl(*args, **kwargs)
  59. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
  60. return forward_call(*args, **kwargs)
  61. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_samplers_cfg_denoiser.py", line 249, in forward
  62. x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in))
  63. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
  64. return self._call_impl(*args, **kwargs)
  65. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
  66. return forward_call(*args, **kwargs)
  67. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
  68. eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  69. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
  70. return self.inner_model.apply_model(*args, **kwargs)
  71. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 22, in <lambda>
  72. setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  73. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 34, in __call__
  74. return self.__sub_func(self.__orig_func, *args, **kwargs)
  75. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_unet.py", line 50, in apply_model
  76. result = orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs)
  77. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 22, in <lambda>
  78. setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  79. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 36, in __call__
  80. return self.__orig_func(*args, **kwargs)
  81. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
  82. x_recon = self.model(x_noisy, t, **cond)
  83. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
  84. return self._call_impl(*args, **kwargs)
  85. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
  86. return forward_call(*args, **kwargs)
  87. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
  88. out = self.diffusion_model(x, t, context=cc)
  89. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
  90. return self._call_impl(*args, **kwargs)
  91. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
  92. return forward_call(*args, **kwargs)
  93. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_unet.py", line 91, in UNetModel_forward
  94. return original_forward(self, x, timesteps, context, *args, **kwargs)
  95. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward
  96. h = module(h, emb, context)
  97. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
  98. return self._call_impl(*args, **kwargs)
  99. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
  100. return forward_call(*args, **kwargs)
  101. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 84, in forward
  102. x = layer(x, context)
  103. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
  104. return self._call_impl(*args, **kwargs)
  105. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
  106. return forward_call(*args, **kwargs)
  107. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 22, in <lambda>
  108. setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  109. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 34, in __call__
  110. return self.__sub_func(self.__orig_func, *args, **kwargs)
  111. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_unet.py", line 96, in spatial_transformer_forward
  112. x = block(x, context=context[i])
  113. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
  114. return self._call_impl(*args, **kwargs)
  115. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
  116. return forward_call(*args, **kwargs)
  117. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 269, in forward
  118. return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint)
  119. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 123, in checkpoint
  120. return func(*inputs)
  121. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 272, in _forward
  122. x = self.attn1(self.norm1(x), context=context if self.disable_self_attn else None) + x
  123. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
  124. return self._call_impl(*args, **kwargs)
  125. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
  126. return forward_call(*args, **kwargs)
  127. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_optimizations.py", line 247, in split_cross_attention_forward
  128. mem_free_total = get_available_vram()
  129. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\sd_hijack_optimizations.py", line 176, in get_available_vram
  130. return torch.dml.mem_get_info(shared.device)[0]
  131. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\dml\backend.py", line 18, in pdh_mem_get_info
  132. mem_info = DirectML.memory_provider.get_memory(get_device(device).index)
  133. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\dml\memory.py", line 17, in get_memory
  134. paths_dedicated = expand_wildcard_path(f"\\GPU Process Memory(pid_{pid}_*_phys_{device_id})\\Dedicated Usage")
  135. File "C:\Users\aarya\stable-diffusion-webui-amdgpu\modules\dml\pdh\__init__.py", line 25, in expand_wildcard_path
  136. raise PDHError("Something went wrong.")
  137. modules.dml.pdh.errors.PDHError: Something went wrong.
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