When I want to start the AI engine it says: 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 Commit hash: 5ef669de080814067961f28357256e8fe27544f4 Launching Web UI with arguments: --api --listen --api-server-stop --no-half-vae --skip-torch-cuda-test no module 'xformers'. Processing without... no module 'xformers'. Processing without... No module 'xformers'. Proceeding without it. Warning: caught exception 'Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.NVIDIA.com/Download/index.aspx', memory monitor disabled 2023-12-04 07:34:30,355 - ControlNet - INFO - ControlNet v1.1.410 ControlNet preprocessor location: C:\sd.webui\webui\extensions\sd-webui-controlnet\annotator\downloads 2023-12-04 07:34:30,476 - ControlNet - INFO - ControlNet v1.1.410 Loading weights [31e35c80fc] from C:\sd.webui\webui\models\Stable-diffusion\sd_xl_base_1.0.safetensors ERROR: [Errno 10048] error while attempting to bind on address ('0.0.0.0', 7860): normalerweise darf jede socketadresse (protokoll, netzwerkadresse oder anschluss) nur jeweils einmal verwendet werden Creating model from config: C:\sd.webui\webui\repositories\generative-models\configs\inference\sd_xl_base.yaml Running on local URL: http://0.0.0.0:7861 Applying attention optimization: InvokeAI... done. loading stable diffusion model: RuntimeError Traceback (most recent call last): File "threading.py", line 973, in _bootstrap File "threading.py", line 1016, in _bootstrap_inner File "threading.py", line 953, in run File "C:\sd.webui\webui\modules\initialize.py", line 147, in load_model shared.sd_model # noqa: B018 File "C:\sd.webui\webui\modules\shared_items.py", line 110, in sd_model return modules.sd_models.model_data.get_sd_model() File "C:\sd.webui\webui\modules\sd_models.py", line 499, in get_sd_model load_model() File "C:\sd.webui\webui\modules\sd_models.py", line 649, in load_model sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model) File "C:\sd.webui\webui\modules\sd_models.py", line 534, in get_empty_cond d = sd_model.get_learned_conditioning([""]) File "C:\sd.webui\webui\modules\sd_models_xl.py", line 31, in get_learned_conditioning c = self.conditioner(sdxl_conds, force_zero_embeddings=['txt'] if force_zero_negative_prompt else []) File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\sd.webui\webui\repositories\generative-models\sgm\modules\encoders\modules.py", line 141, in forward emb_out = embedder(batch[embedder.input_key]) File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\sd.webui\webui\modules\sd_hijack_clip.py", line 234, in forward z = self.process_tokens(tokens, multipliers) File "C:\sd.webui\webui\modules\sd_hijack_clip.py", line 273, in process_tokens z = self.encode_with_transformers(tokens) File "C:\sd.webui\webui\modules\sd_hijack_clip.py", line 349, in encode_with_transformers outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=self.wrapped.layer == "hidden") File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\sd.webui\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward return self.text_model( File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\sd.webui\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 740, in forward encoder_outputs = self.encoder( File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\sd.webui\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 654, in forward layer_outputs = encoder_layer( File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\sd.webui\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 382, in forward hidden_states = self.layer_norm1(hidden_states) File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\sd.webui\webui\extensions-builtin\Lora\networks.py", line 474, in network_LayerNorm_forward return originals.LayerNorm_forward(self, input) File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\normalization.py", line 190, in forward return F.layer_norm( File "C:\sd.webui\system\python\lib\site-packages\torch\nn\functional.py", line 2515, in layer_norm return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled) RuntimeError: "LayerNormKernelImpl" not implemented for 'Half' Stable diffusion model failed to load Exception in thread Thread-18 (load_model): Traceback (most recent call last): File "threading.py", line 1016, in _bootstrap_inner File "threading.py", line 953, in run File "C:\sd.webui\webui\modules\initialize.py", line 153, in load_model devices.first_time_calculation() File "C:\sd.webui\webui\modules\devices.py", line 148, in first_time_calculation linear(x) File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\sd.webui\webui\extensions-builtin\Lora\networks.py", line 429, in network_Linear_forward return originals.Linear_forward(self, input) File "C:\sd.webui\system\python\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward return F.linear(input, self.weight, self.bias) RuntimeError: "addmm_impl_cpu_" not implemented for 'Half' To create a public link, set `share=True` in `launch()`. Startup time: 21.9s (prepare environment: 0.6s, import torch: 5.2s, import gradio: 1.5s, setup paths: 1.3s, initialize shared: 0.5s, other imports: 1.0s, setup codeformer: 0.2s, load scripts: 1.6s, create ui: 0.6s, gradio launch: 9.3s, add APIs: 0.1s). As I see it, it wants an NVIDIA GPU. Just a note: Redshift also doens´t work Anyone had a similar problem?
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