Open SauChi666 opened 2 months ago
Will process 12 images, creating 1 new images for each. 100%|███████████████████████████████████████████| 16/16 [00:20<00:00, 1.28s/it] Miaoshouai boot assistant: Memory Released! | 16/192 [00:10<01:57, 1.50it/s] DepthMap v0.4.6 (7a3a7820) WARNING: Cuda device was not found, cpu will be used device: cpu Loading model(s) .. Loading model weights from ./models/midas/midas_v21-f6b98070.pt Loading weights: ./models/midas/midas_v21-f6b98070.pt Using cache found in /Users/appleid/.cache/torch/hub/facebookresearch_WSL-Images_main initialize network with normal loading the model from ./models/pix2pix/latest_net_G.pth Computing output(s) .. 0%| | 0/1 [00:00<?, ?it/s]wholeImage being processed in : 768 Adjust factor is: 2.1404109589041096 Selecting patches ... Target resolution: (3288, 3288, 3) Resulting depthmap resolution will be : (512, 512) patches to process: 44 processing patch 0 / 43 | [ 5 5 469 469] processing patch 1 / 43 | [ 60 15 448 448] processing patch 2 / 43 | [ 2 2 384 384] processing patch 3 / 43 | [ 2 47 384 384] processing patch 4 / 43 | [ 2 92 384 384] processing patch 5 / 43 | [ 47 2 384 384] processing patch 6 / 43 | [ 92 2 384 384] processing patch 7 / 43 | [ 13 147 363 363] processing patch 8 / 43 | [ 58 147 363 363] processing patch 9 / 43 | [147 13 363 363] processing patch 10 / 43 | [ 5 5 289 289] processing patch 11 / 43 | [ 5 50 289 289] processing patch 12 / 43 | [ 5 95 289 289] processing patch 13 / 43 | [ 5 140 289 289] processing patch 14 / 43 | [ 50 5 289 289] processing patch 15 / 43 | [ 95 5 289 289] processing patch 16 / 43 | [140 5 289 289] processing patch 17 / 43 | [184 5 289 289] processing patch 18 / 43 | [ 60 240 268 268] processing patch 19 / 43 | [105 240 268 268] processing patch 20 / 43 | [150 240 268 268] processing patch 21 / 43 | [ 26 250 247 247] processing patch 22 / 43 | [216 261 225 225] processing patch 23 / 43 | [ 47 2 204 204] processing patch 24 / 43 | [ 92 2 204 204] processing patch 25 / 43 | [137 2 204 204] processing patch 26 / 43 | [182 2 204 204] processing patch 27 / 43 | [227 2 204 204] processing patch 28 / 43 | [ 58 237 183 183] processing patch 29 / 43 | [ 58 327 183 183] processing patch 30 / 43 | [103 327 183 183] processing patch 31 / 43 | [148 327 183 183] processing patch 32 / 43 | [192 327 183 183] processing patch 33 / 43 | [237 327 183 183] processing patch 34 / 43 | [293 293 162 162] processing patch 35 / 43 | [293 338 162 162] processing patch 36 / 43 | [ 40 40 130 130] processing patch 37 / 43 | [ 45 0 120 120] processing patch 38 / 43 | [ 90 0 120 120] processing patch 39 / 43 | [135 0 120 120] processing patch 40 / 43 | [179 0 120 120] processing patch 41 / 43 | [224 0 120 120] processing patch 42 / 43 | [269 0 120 120] processing patch 43 / 43 | [359 314 120 120] Error completing request Arguments: ('task(8lgd90xa8m3ciif)', <agent_scheduler.task_runner.FakeRequest object at 0x41e45ab00>, 5, '', '', [], None, None, None, None, None, None, None, 4, 0, 1, 1, 1, 7, 1.5, 0.75, 0.0, 512, 512, 1, 0, 0, 32, 0, '/Users/appleid/stable-diffusion-webui/outputs/img2img-images/2024-04-30/3D', '', '', ['Clip skip: 1', 'Model hash: majicmixRealistic_v6.safetensors [e4a30e4607]', 'VAE: Automatic'], False, [], '', 15, False, 1, 0.5, 4, 0, 0.5, 2, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, {'ad_model': 'face_yolov8n.pt', 'ad_model_classes': '', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0.0, 'ad_mask_max_ratio': 1.0, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7.0, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1.0, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1.0, 'ad_controlnet_guidance_start': 0.0, 'ad_controlnet_guidance_end': 1.0}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0.0, 'ad_mask_max_ratio': 1.0, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7.0, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1.0, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1.0, 'ad_controlnet_guidance_start': 0.0, 'ad_controlnet_guidance_end': 1.0}, False, True, False, 0, -1, False, 'img2img', False, '', '', False, 'Euler a', False, '2Guofeng2_v20.safetensors [3257896d4b]', True, 0.5, True, 4, True, 32, True, False, 30, False, 6, False, 512, 512, '', False, 1, 'Both ▦', False, '', False, True, True, False, False, False, False, 100, 100, False, '', '', '', 'generateMasksTab', 4, 4, 2.5, 30, 1.03, 1, 1, 5, 0.5, 5, False, True, False, 20, False, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, 1.6, 0.97, 0.4, 0, 20, 0, 12, '', True, False, False, False, 512, False, True, ['Face'], False, '{\n "face_detector": "RetinaFace",\n "rules": {\n "then": {\n "face_processor": "img2img",\n "mask_generator": {\n "name": "BiSeNet",\n "params": {\n "fallback_ratio": 0.1\n }\n }\n }\n }\n}', 'None', 40, 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', <scripts.animatediff_ui.AnimateDiffProcess object at 0x40d8e5450>, UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, ipadapter_input=None), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, ipadapter_input=None), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, ipadapter_input=None), '🔄', None, False, '0', '/Users/appleid/stable-diffusion-webui/models/roop/inswapper_128.onnx', 'CodeFormer', 1, '', 1, 1, False, True, False, False, 0, None, [], 0, False, [], [], False, 0, 1, False, False, 0, None, [], -2, False, [], False, 0, None, None, False, '1:1,1:2,1:2', '0:0,0:0,0:1', '0.2,0.8,0.8', 150, 0.2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ' CFG Scale should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', 'Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, 'start', '', 'Will upscale the image by the selected scale factor; use width and height sliders to set tile size', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, '', '', 0, 'Not set', True, True, '', '', '', '', '', 1.3, 'Not set', 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', False, 'None', None, True, None, None, False, False, 0, True, 384, 384, False, 4, True, True, False, False, 1.6, 0.97, 0.4, 0, 20, 0, 12, '', True, False, False, False, 512, False, True, ['Face'], False, '{\n "face_detector": "RetinaFace",\n "rules": {\n "then": {\n "face_processor": "img2img",\n "mask_generator": {\n "name": "BiSeNet",\n "params": {\n "fallback_ratio": 0.1\n }\n }\n }\n }\n}', 'None', 40, None, None, False, None, None, False, None, None, False, 50, True, False, 0, 'Range', 1, 'GPU', False, False, False, False, True, 5, 384, False, 384, False, False, 3, False, 3, True, 3, False, 'Horizontal', False, False, 'u2net', False, True, True, False, 0, 2.5, 'polylines_soft', ['left-right', 'red-cyan-anaglyph'], 2, 0, '∯boost∯clipdepth∯clipdepth_far∯clipdepth_mode∯clipdepth_near∯compute_device∯do_output_depth∯gen_normalmap∯gen_rembg∯gen_simple_mesh∯gen_stereo∯model_type∯net_height∯net_size_match∯net_width∯normalmap_invert∯normalmap_post_blur∯normalmap_post_blur_kernel∯normalmap_pre_blur∯normalmap_pre_blur_kernel∯normalmap_sobel∯normalmap_sobel_kernel∯output_depth_combine∯output_depth_combine_axis∯output_depth_invert∯pre_depth_background_removal∯rembg_model∯save_background_removal_masks∯save_outputs∯simple_mesh_occlude∯simple_mesh_spherical∯stereo_balance∯stereo_divergence∯stereo_fill_algo∯stereo_modes∯stereo_offset_exponent∯stereo_separation', 'Will upscale the image depending on the selected target size type', 512, 0, 8, 32, 64, 0.35, 32, 0, True, 0, False, 8, 0, 0, 2048, 2048, 2) {} Traceback (most recent call last): File "/Users/appleid/stable-diffusion-webui/modules/call_queue.py", line 57, in f res = list(func(args, *kwargs)) File "/Users/appleid/stable-diffusion-webui/modules/img2img.py", line 225, in img2img processed = process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir) File "/Users/appleid/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 34, in img2img_process_batch_hijack return getattr(img2img, '__controlnet_original_process_batch')(p, args, *kwargs) File "/Users/appleid/stable-diffusion-webui/modules/img2img.py", line 128, in process_batch proc = modules.scripts.scripts_img2img.run(p, args) File "/Users/appleid/stable-diffusion-webui/modules/scripts.py", line 773, in run processed = script.run(p, *script_args) File "/Users/appleid/stable-diffusion-webui/extensions/stable-diffusion-webui-depthmap-script/scripts/depthmap.py", line 57, in run info = create_infotext( File "/Users/appleid/stable-diffusion-webui/modules/processing.py", line 774, in create_infotext "Schedule type": p.scheduler, AttributeError: 'Processed' object has no attribute 'scheduler'
CFG Scale
Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8
Will upscale the image by the selected scale factor; use width and height sliders to set tile size
Will upscale the image depending on the selected target size type
0%| | 0/1 [02:34<?, ?it/s] ERROR:sd:[AgentScheduler] Task task(8lgd90xa8m3ciif) failed:
Will process 12 images, creating 1 new images for each. 100%|███████████████████████████████████████████| 16/16 [00:20<00:00, 1.28s/it] Miaoshouai boot assistant: Memory Released! | 16/192 [00:10<01:57, 1.50it/s] DepthMap v0.4.6 (7a3a7820) WARNING: Cuda device was not found, cpu will be used device: cpu Loading model(s) .. Loading model weights from ./models/midas/midas_v21-f6b98070.pt Loading weights: ./models/midas/midas_v21-f6b98070.pt Using cache found in /Users/appleid/.cache/torch/hub/facebookresearch_WSL-Images_main initialize network with normal loading the model from ./models/pix2pix/latest_net_G.pth Computing output(s) .. 0%| | 0/1 [00:00<?, ?it/s]wholeImage being processed in : 768 Adjust factor is: 2.1404109589041096 Selecting patches ... Target resolution: (3288, 3288, 3) Resulting depthmap resolution will be : (512, 512) patches to process: 44 processing patch 0 / 43 | [ 5 5 469 469] processing patch 1 / 43 | [ 60 15 448 448] processing patch 2 / 43 | [ 2 2 384 384] processing patch 3 / 43 | [ 2 47 384 384] processing patch 4 / 43 | [ 2 92 384 384] processing patch 5 / 43 | [ 47 2 384 384] processing patch 6 / 43 | [ 92 2 384 384] processing patch 7 / 43 | [ 13 147 363 363] processing patch 8 / 43 | [ 58 147 363 363] processing patch 9 / 43 | [147 13 363 363] processing patch 10 / 43 | [ 5 5 289 289] processing patch 11 / 43 | [ 5 50 289 289] processing patch 12 / 43 | [ 5 95 289 289] processing patch 13 / 43 | [ 5 140 289 289] processing patch 14 / 43 | [ 50 5 289 289] processing patch 15 / 43 | [ 95 5 289 289] processing patch 16 / 43 | [140 5 289 289] processing patch 17 / 43 | [184 5 289 289] processing patch 18 / 43 | [ 60 240 268 268] processing patch 19 / 43 | [105 240 268 268] processing patch 20 / 43 | [150 240 268 268] processing patch 21 / 43 | [ 26 250 247 247] processing patch 22 / 43 | [216 261 225 225] processing patch 23 / 43 | [ 47 2 204 204] processing patch 24 / 43 | [ 92 2 204 204] processing patch 25 / 43 | [137 2 204 204] processing patch 26 / 43 | [182 2 204 204] processing patch 27 / 43 | [227 2 204 204] processing patch 28 / 43 | [ 58 237 183 183] processing patch 29 / 43 | [ 58 327 183 183] processing patch 30 / 43 | [103 327 183 183] processing patch 31 / 43 | [148 327 183 183] processing patch 32 / 43 | [192 327 183 183] processing patch 33 / 43 | [237 327 183 183] processing patch 34 / 43 | [293 293 162 162] processing patch 35 / 43 | [293 338 162 162] processing patch 36 / 43 | [ 40 40 130 130] processing patch 37 / 43 | [ 45 0 120 120] processing patch 38 / 43 | [ 90 0 120 120] processing patch 39 / 43 | [135 0 120 120] processing patch 40 / 43 | [179 0 120 120] processing patch 41 / 43 | [224 0 120 120] processing patch 42 / 43 | [269 0 120 120] processing patch 43 / 43 | [359 314 120 120] Error completing request Arguments: ('task(8lgd90xa8m3ciif)', <agent_scheduler.task_runner.FakeRequest object at 0x41e45ab00>, 5, '', '', [], None, None, None, None, None, None, None, 4, 0, 1, 1, 1, 7, 1.5, 0.75, 0.0, 512, 512, 1, 0, 0, 32, 0, '/Users/appleid/stable-diffusion-webui/outputs/img2img-images/2024-04-30/3D', '', '', ['Clip skip: 1', 'Model hash: majicmixRealistic_v6.safetensors [e4a30e4607]', 'VAE: Automatic'], False, [], '', 15, False, 1, 0.5, 4, 0, 0.5, 2, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, {'ad_model': 'face_yolov8n.pt', 'ad_model_classes': '', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0.0, 'ad_mask_max_ratio': 1.0, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7.0, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1.0, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1.0, 'ad_controlnet_guidance_start': 0.0, 'ad_controlnet_guidance_end': 1.0}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0.0, 'ad_mask_max_ratio': 1.0, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7.0, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1.0, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1.0, 'ad_controlnet_guidance_start': 0.0, 'ad_controlnet_guidance_end': 1.0}, False, True, False, 0, -1, False, 'img2img', False, '', '', False, 'Euler a', False, '2Guofeng2_v20.safetensors [3257896d4b]', True, 0.5, True, 4, True, 32, True, False, 30, False, 6, False, 512, 512, '', False, 1, 'Both ▦', False, '', False, True, True, False, False, False, False, 100, 100, False, '', '', '', 'generateMasksTab', 4, 4, 2.5, 30, 1.03, 1, 1, 5, 0.5, 5, False, True, False, 20, False, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, 1.6, 0.97, 0.4, 0, 20, 0, 12, '', True, False, False, False, 512, False, True, ['Face'], False, '{\n "face_detector": "RetinaFace",\n "rules": {\n "then": {\n "face_processor": "img2img",\n "mask_generator": {\n "name": "BiSeNet",\n "params": {\n "fallback_ratio": 0.1\n }\n }\n }\n }\n}', 'None', 40, 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', <scripts.animatediff_ui.AnimateDiffProcess object at 0x40d8e5450>, UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, ipadapter_input=None), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, ipadapter_input=None), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, ipadapter_input=None), '🔄', None, False, '0', '/Users/appleid/stable-diffusion-webui/models/roop/inswapper_128.onnx', 'CodeFormer', 1, '', 1, 1, False, True, False, False, 0, None, [], 0, False, [], [], False, 0, 1, False, False, 0, None, [], -2, False, [], False, 0, None, None, False, '1:1,1:2,1:2', '0:0,0:0,0:1', '0.2,0.8,0.8', 150, 0.2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, '
CFG Scaleshould be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', 'Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8
', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, 'start', '', 'Will upscale the image by the selected scale factor; use width and height sliders to set tile size
', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, '', '', 0, 'Not set', True, True, '', '', '', '', '', 1.3, 'Not set', 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', 1.3, 'Not set', False, 'None', None, True, None, None, False, False, 0, True, 384, 384, False, 4, True, True, False, False, 1.6, 0.97, 0.4, 0, 20, 0, 12, '', True, False, False, False, 512, False, True, ['Face'], False, '{\n "face_detector": "RetinaFace",\n "rules": {\n "then": {\n "face_processor": "img2img",\n "mask_generator": {\n "name": "BiSeNet",\n "params": {\n "fallback_ratio": 0.1\n }\n }\n }\n }\n}', 'None', 40, None, None, False, None, None, False, None, None, False, 50, True, False, 0, 'Range', 1, 'GPU', False, False, False, False, True, 5, 384, False, 384, False, False, 3, False, 3, True, 3, False, 'Horizontal', False, False, 'u2net', False, True, True, False, 0, 2.5, 'polylines_soft', ['left-right', 'red-cyan-anaglyph'], 2, 0, '∯boost∯clipdepth∯clipdepth_far∯clipdepth_mode∯clipdepth_near∯compute_device∯do_output_depth∯gen_normalmap∯gen_rembg∯gen_simple_mesh∯gen_stereo∯model_type∯net_height∯net_size_match∯net_width∯normalmap_invert∯normalmap_post_blur∯normalmap_post_blur_kernel∯normalmap_pre_blur∯normalmap_pre_blur_kernel∯normalmap_sobel∯normalmap_sobel_kernel∯output_depth_combine∯output_depth_combine_axis∯output_depth_invert∯pre_depth_background_removal∯rembg_model∯save_background_removal_masks∯save_outputs∯simple_mesh_occlude∯simple_mesh_spherical∯stereo_balance∯stereo_divergence∯stereo_fill_algo∯stereo_modes∯stereo_offset_exponent∯stereo_separation', 'Will upscale the image depending on the selected target size type
', 512, 0, 8, 32, 64, 0.35, 32, 0, True, 0, False, 8, 0, 0, 2048, 2048, 2) {} Traceback (most recent call last): File "/Users/appleid/stable-diffusion-webui/modules/call_queue.py", line 57, in f res = list(func(args, *kwargs)) File "/Users/appleid/stable-diffusion-webui/modules/img2img.py", line 225, in img2img processed = process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir) File "/Users/appleid/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 34, in img2img_process_batch_hijack return getattr(img2img, '__controlnet_original_process_batch')(p, args, *kwargs) File "/Users/appleid/stable-diffusion-webui/modules/img2img.py", line 128, in process_batch proc = modules.scripts.scripts_img2img.run(p, args) File "/Users/appleid/stable-diffusion-webui/modules/scripts.py", line 773, in run processed = script.run(p, *script_args) File "/Users/appleid/stable-diffusion-webui/extensions/stable-diffusion-webui-depthmap-script/scripts/depthmap.py", line 57, in run info = create_infotext( File "/Users/appleid/stable-diffusion-webui/modules/processing.py", line 774, in create_infotext "Schedule type": p.scheduler, AttributeError: 'Processed' object has no attribute 'scheduler'0%| | 0/1 [02:34<?, ?it/s] ERROR:sd:[AgentScheduler] Task task(8lgd90xa8m3ciif) failed: