*** Error completing request
*** Arguments: ('task(pdfcv29omsuy353)', 0, 'ultra realistic 8k cg,picture-perfect face,flawless,clean,masterpiece,professional artwork,famous artwork,cinematic lighting,cinematic bloom,perfect face,beautiful face,beautiful eyes,(black gold angle halo),gorgeous queen,royal,divine,goddess,godlike,fantasy,dreamlike,unreal,science fiction,wet,sweat,detailed laces,black eyes,shiny eyes,(background, fantasy,hot spring),sexy,charming,alluring,seductive,water diamond earrings,enchanting,shiny skin,looking at viewer,', '(worst quality, low quality:1.3),simple background,logo,watermark,text,hat,umbrella,deformed,bad anatomy,disfigured,poorly drawn face,mutation,mutated,extra limb,ugly,disgusting,poorly drawn hands,missing limb,floating limbs,disconnected limbs,malformed hands,blurry,((((mutated hands and fingers)))),watermark,watermarked,oversaturated,censored,distorted hands,amputation,missing hands,obese,doubled face,\nSize:512x512,Seed:3814422741,Model: perfectde,Steps:35,Sampler: Euler a,CFG scale:7,Face restoration: CodeFormer,((transparent clothing,naked,navel,midriff,)),pygal,incomplete clothing,', [], <PIL.Image.Image image mode=RGBA size=1080x1920 at 0x1F4E0AEEA10>, None, None, None, None, None, None, 27, 'DPM++ SDE Karras', 4, 0, 1, 1, 1, 7, 1.5, 0.4, 0.0, 1920, 1080, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x000001F50D519B40>, 10, False, 1, 0.5, 4, 0, 0.5, 2, False, '', 0.8, -1, False, -1, 0, 0, 0, False, 'MultiDiffusion', False, True, 1024, 1024, 96, 96, 48, 1, 'None', 2, False, 10, 1, 1, 64, False, False, False, False, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 'DemoFusion', True, 128, 64, 4, 2, False, 10, 1, 1, 64, False, True, 3, 1, 1, False, 3072, 192, True, True, True, False, False, False, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, None, 'Refresh models', UiControlNetUnit(enabled=True, module='canny', model='control_v11p_sd15_canny [d14c016b]', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=512, threshold_a=100, threshold_b=200, guidance_start=0, guidance_end=1, pixel_perfect=True, control_mode='Balanced', inpaint_crop_input_image=True, hr_option='Both', save_detected_map=True, advanced_weighting=None), UiControlNetUnit(enabled=True, module='tile_resample', model='control_v11f1e_sd15_tile [a371b31b]', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, threshold_a=1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=True, control_mode='Balanced', inpaint_crop_input_image=True, hr_option='Both', save_detected_map=True, advanced_weighting=None), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, threshold_a=64, threshold_b=64, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', inpaint_crop_input_image=True, hr_option='Both', save_detected_map=True, advanced_weighting=None), None, False, '0', '0', 'inswapper_128.onnx', 'CodeFormer', 1, True, 'None', 1, 1, False, True, 1, 0, 0, False, 0.5, True, False, 'CPU', False, 0, 'None', '', None, False, False, 0.5, 0, '* `CFG Scale` should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False,'positive', 'comma', 0, False, False, 'start', '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, 'D:\\huanbeijing', False, 'Normal', 1, True, 1, 1, 'None', False, False, True, 'YuNet', 512, 1024, 0.5, 1.5, False, 'face close up,', 0.5, 0.5, False, True, None, None, False, None, None, False, None, None, False, 50) {}
Traceback (most recent call last):
File "E:\sd-webui-aki-v4\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "E:\sd-webui-aki-v4\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "E:\sd-webui-aki-v4\modules\img2img.py", line 233, in img2img
processed = modules.scripts.scripts_img2img.run(p, *args)
File "E:\sd-webui-aki-v4\modules\scripts.py", line 766, in run
processed = script.run(p, *script_args)
File "E:\sd-webui-aki-v4\extensions\ebsynth_utility\scripts\custom_script.py", line 906, in run
face_coords = self.detect_face(image, mask_image, face_detection_method, max_crop_size)
File "E:\sd-webui-aki-v4\extensions\ebsynth_utility\scripts\custom_script.py", line 222, in detect_face
faces = self.detect_face_from_img(img_array)
File "E:\sd-webui-aki-v4\extensions\ebsynth_utility\scripts\custom_script.py", line 166, in detect_face_from_img
dnn_model_path = autocrop.download_and_cache_models(os.path.join(models_path, "opencv"))
TypeError: download_and_cache_models() takes 0 positional arguments but 1 was given