venv "I:\stable-diffusion-webui-updated\venv\Scripts\Python.exe" Python 3.10.10 (tags/v3.10.10:aad5f6a, Feb 7 2023, 17:20:36) [MSC v.1929 64 bit (AMD64)] Version: v1.9.3-20-g0094aaf0 Commit hash: 0094aaf0f08cf2a8b04b4021e5011d2658fa9aae loading WD14-tagger reqs from I:\stable-diffusion-webui-updated\extensions\stable-diffusion-webui-wd14-tagger\requirements.txt Checking WD14-tagger requirements. Launching Web UI with arguments: --autolaunch --precision half --no-download-sd-model --opt-sdp-no-mem-attention --opt-split-attention --xformers --opt-channelslast --skip-torch-cuda-test --skip-python-version-check --skip-version-check --no-hashing 2024-05-23 21:32:26.764809: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-05-23 21:32:29.436987: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. ldm/sgm GroupNorm32 replaced with normal torch.nn.GroupNorm due to `--precision half`. ControlNet preprocessor location: I:\stable-diffusion-webui-updated\models\ControlNet\annotator 2024-05-23 21:32:55,206 - ControlNet - INFO - ControlNet v1.1.446 2024-05-23 21:32:57,359 - ControlNet - INFO - ControlNet v1.1.446 [sd-webui-freeu] Controlnet support: *enabled* [-] ADetailer initialized. version: 24.4.2, num models: 18 Total VRAM 24576 MB, total RAM 32509 MB xformers version: 0.0.23.post1 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 3090 : native VAE dtype: torch.bfloat16 Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu. CivitAI Browser+: Aria2 RPC started 05/23 21:33:03 [NOTICE] IPv4 RPC: listening on TCP port 24000 05/23 21:33:03 [NOTICE] IPv6 RPC: listening on TCP port 24000 [AddNet] Updating model hashes... 100%|███████████████████████████████████████████████████████████████████████████| 1804/1804 [00:00<00:00, 12371.04it/s] [AddNet] Updating model hashes... 100%|██████████████████████████████████████████████████████████████████████████| 1804/1804 [00:00<00:00, 162889.10it/s] [Vec. CC] Style Sheet Loaded... == WD14 tagger /gpu:0, uname_result(system='Windows', node='NBA-PC', release='10', version='10.0.22621', machine='AMD64') == Loading weights [None] from I:\stable-diffusion-webui-updated\models\Stable-diffusion\link\2_SDXL\waiREALMIX_v60.safetensors Creating model from config: I:\stable-diffusion-webui-updated\repositories\generative-models\configs\inference\sd_xl_base.yaml Loading VAE weights specified in settings: I:\stable-diffusion-webui-updated\models\VAE\sdxl_fp16.vae.safetensors Applying attention optimization: sdp-no-mem... done. Model loaded in 13.9s (load weights from disk: 0.4s, create model: 0.3s, apply weights to model: 10.0s, load VAE: 0.4s, move model to device: 0.1s, load textual inversion embeddings: 2.1s, calculate empty prompt: 0.4s). 2024-05-23 21:33:23,666 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. IIB Database file has been successfully backed up to the backup folder. Startup time: 90.1s (prepare environment: 10.7s, import torch: 14.3s, import gradio: 4.6s, setup paths: 22.9s, initialize shared: 0.7s, other imports: 3.3s, list SD models: 0.9s, load scripts: 16.3s, create ui: 15.5s, gradio launch: 0.6s, app_started_callback: 0.3s). 0%| | 0/20 [00:00, 'an architectural photo of __architecture/arch_building__ __architecture/arch_location__, __architecture/arch_material__, __architecture/weather_condition_clear__ __architecture/daytime__, __architecture/camera_angle__, __architecture/camera_effect__, architecture focus, designed by __architecture/arch_architect__', 'neg_BadDream,', [], 1, 1, 22, 768, 512, True, 0.49, 1.5, '4x-UltraSharp', 6, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 20, 'DPM++ 2M v2', 'Karras', -1, False, -1, 0, 0, 0, False, '', 0.8, UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, 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False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, False, 'positive', 'comma', 0, False, False, 'start', '', 7, '1,5,10,15,20', [], 0, '5,6,7,8,9,10', [], 0, '', [], True, False, False, False, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, None, None, False, None, None, False, 50, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, [], 30, '', 4, [], 1, '', '', '', '', '', '', '', '0.3', '', '', '', '', '', False, 7, 1.5, True, '16bpc', '.tiff', 1.2, 'Positive', 0, ', ', 'Generate and always save', 32) {} Traceback (most recent call last): File "I:\stable-diffusion-webui-updated\modules\call_queue.py", line 57, in f res = list(func(*args, **kwargs)) File "I:\stable-diffusion-webui-updated\modules\call_queue.py", line 36, in f res = func(*args, **kwargs) File "I:\stable-diffusion-webui-updated\modules\txt2img.py", line 109, in txt2img processed = processing.process_images(p) File "I:\stable-diffusion-webui-updated\modules\processing.py", line 839, in process_images res = process_images_inner(p) File "I:\stable-diffusion-webui-updated\extensions\01.sd-webui-controlnet\scripts\batch_hijack.py", line 59, in processing_process_images_hijack return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs) File "I:\stable-diffusion-webui-updated\modules\processing.py", line 975, in process_images_inner 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) File "I:\stable-diffusion-webui-updated\modules\processing.py", line 1322, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) File "I:\stable-diffusion-webui-updated\modules\sd_samplers_kdiffusion.py", line 219, in sample 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)) File "I:\stable-diffusion-webui-updated\modules\sd_samplers_common.py", line 272, in launch_sampling return func() File "I:\stable-diffusion-webui-updated\modules\sd_samplers_kdiffusion.py", line 219, in 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)) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "I:\stable-diffusion-webui-updated\repositories\k-diffusion\k_diffusion\sampling.py", line 766, in sample_dpmpp_2m_test denoised = model(x, sigmas[i] * s_in, **extra_args) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "I:\stable-diffusion-webui-updated\modules\sd_samplers_cfg_denoiser.py", line 242, in forward x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in)) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "I:\stable-diffusion-webui-updated\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs) File "I:\stable-diffusion-webui-updated\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps return self.inner_model.apply_model(*args, **kwargs) File "I:\stable-diffusion-webui-updated\modules\sd_models_xl.py", line 43, in apply_model return self.model(x, t, cond) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "I:\stable-diffusion-webui-updated\modules\sd_hijack_utils.py", line 22, in setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs)) File "I:\stable-diffusion-webui-updated\modules\sd_hijack_utils.py", line 34, in __call__ return self.__sub_func(self.__orig_func, *args, **kwargs) File "I:\stable-diffusion-webui-updated\modules\sd_hijack_unet.py", line 48, in apply_model result = orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs) File "I:\stable-diffusion-webui-updated\repositories\generative-models\sgm\modules\diffusionmodules\wrappers.py", line 28, in forward return self.diffusion_model( File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1568, in _call_impl result = forward_call(*args, **kwargs) File "I:\stable-diffusion-webui-updated\modules\sd_unet.py", line 91, in UNetModel_forward return original_forward(self, x, timesteps, context, *args, **kwargs) File "I:\stable-diffusion-webui-updated\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 995, in forward h = self.middle_block(h, emb, context) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "I:\stable-diffusion-webui-updated\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 100, in forward x = layer(x, context) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "I:\stable-diffusion-webui-updated\repositories\generative-models\sgm\modules\attention.py", line 627, in forward x = block(x, context=context[i]) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "I:\stable-diffusion-webui-updated\repositories\generative-models\sgm\modules\attention.py", line 459, in forward return checkpoint( File "I:\stable-diffusion-webui-updated\repositories\generative-models\sgm\modules\diffusionmodules\util.py", line 167, in checkpoint return func(*inputs) File "I:\stable-diffusion-webui-updated\repositories\generative-models\sgm\modules\attention.py", line 467, in _forward self.attn1( File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\nn\modules\module.py", line 1568, in _call_impl result = forward_call(*args, **kwargs) File "I:\stable-diffusion-webui-updated\extensions\02.sd_webui_SAG\scripts\SAG.py", line 158, in xattn_forward_log out = einsum("b i j, b j d -> b i d", sim, v) File "I:\stable-diffusion-webui-updated\venv\lib\site-packages\torch\functional.py", line 377, in einsum return _VF.einsum(equation, operands) # type: ignore[attr-defined] RuntimeError: expected scalar type Half but found Float ---