![]() Startup time: 16.3s (import torch: 2.2s, import gradio: 1.2s, import ldm: 0.6s, other imports: 1.3s, setup codeformer: 0.2s, load scripts: 2.5s, load SD checkpoint: 2.8s, create ui: 5.2s, gradio launch: 0.2s). To create a public link, set `share=True ` in `launch() `. Model loaded in 2.5s (load weights from disk: 0.2s, create model: 0.5s, apply weights to model: 0.8s, apply half(): 0.7s, load VAE: 0.3s). Textual inversion embeddings loaded(2): easynegative, ng_deepnegative_v1_75t Loading VAE weights specified in settings: E: \stable-diffusion-webui-directml \models \VAE \vae-ft-mse-840000-ema-pruned.ckptĪpplying sub-quadratic cross attention optimization. LatentInpaintDiffusion: Running in eps-prediction mode Loading weights from E: \stable-diffusion-webui-directml \models \Stable-diffusion \realisticVisionV20_v20-inpainting.safetensorsĬreating model from config: E: \stable-diffusion-webui-directml \configs \v1-inpainting-inference.yaml Warning: caught exception 'Torch not compiled with CUDA enabled ', memory monitor disabled But if you want to use interrogate (CLIP or DeepBooru), check out this issue: This doesn 't affect on image generation. But if you want to use interrogate (CLIP or DeepBooru), check out this issue: Warning: caught exception 'Torch not compiled with CUDA enabled ', memory monitor disabled Installing sd-dynamic-prompts requirements.txt Installing sd-webui-controlnet requirement: opencv-contrib-python=4.7.0.68 Launching Web UI with arguments: -opt-sub-quad-attention -medvram -opt-split-attention-v1 -disable-nan-check -autolaunch -api -cors-allow-origins= Interrogations are fallen back to cpu. Installing requirements 1 for Infinite-Zoom ![]() Installing requirements for Batch Face Swap Multidiffusion-upscaler-for-automatic1111 precision full -no-half -opt-split-attention-v1 List of extensions Extension I have tried enabling these either individually or in combination, to no avail: opt-sub-quad-attention -medvram -disable-nan-check -autolaunch -api -cors-allow-origins=
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