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[Bug]: get_crop_region_v2 error, when Only masked padding, pixels is set to 0 #15593

Closed
4 of 6 tasks
Bing-su opened this issue Apr 22, 2024 · 2 comments
Closed
4 of 6 tasks

[Bug]: get_crop_region_v2 error, when Only masked padding, pixels is set to 0 #15593

Bing-su opened this issue Apr 22, 2024 · 2 comments
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@w-e-w
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bug-report Report of a bug, yet to be confirmed

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@Bing-su
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Bing-su commented Apr 22, 2024

Checklist

  • The issue exists after disabling all extensions
  • The issue exists on a clean installation of webui
  • The issue is caused by an extension, but I believe it is caused by a bug in the webui
  • The issue exists in the current version of the webui
  • The issue has not been reported before recently
  • The issue has been reported before but has not been fixed yet

What happened?

When img2img inpainting, if you set inpaint area = Only Masked, Only masked padding, pixels = 0, you can see below TypeError

*** Error completing request
*** Arguments: ('task(76p88mz5fyym2hp)', <gradio.routes.Request object at 0x00000221AC63C2B0>, 2, 'masterpiece, best quality, 1girl, __woman_clothes__, __places__, large breasts, <lora:add_detail:0.5>', '(worst quality, low quality:1.1), text, title, logo, signature, (EasyNegativeV2:0.7), (negative_hand-neg:0.7)', [], None, None, {'image': <PIL.Image.Image image mode=RGBA size=512x768 at 0x221ACADF820>, 'mask': <PIL.Image.Image image mode=RGB size=512x768 at 0x221ACC862C0>}, None, None, None, None, 4, 0, 1, 1, 1, 7.5, 1.5, 0.75, 0.0, 768, 512, 1, 0, 1, 0, 0, '', '', '', [], False, [], '', 0, 20, 'DPM++ 2M', 'Automatic', False, 1, 0.5, 4, 0, 0.5, 2, -1, False, -1, 0, 0, 0, False, '', 0.8, 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, 'ad_mask_max_ratio': 1, '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, '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, '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, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'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, 'ad_mask_max_ratio': 1, '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, '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, '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, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, UiControlNetUnit(enabled=False, module='none', model='None', 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=False, 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=-1, threshold_b=-1, 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), UiControlNetUnit(enabled=False, module='none', model='None', 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=False, control_mode='Balanced', inpaint_crop_input_image=True, hr_option='Both', save_detected_map=True, advanced_weighting=None), '* `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, None, None, False, None, None, False, None, None, False, 50, '<p style="margin-bottom:0.75em">Will upscale the image depending on the selected target size type</p>', 512, 0, 8, 32, 64, 0.35, 32, 0, True, 0, False, 8, 0, 0, 2048, 2048, 2) {}
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
      File "D:\stable-diffusion-webui\modules\call_queue.py", line 36, in f
        res = func(*args, **kwargs)
      File "D:\stable-diffusion-webui\modules\img2img.py", line 232, in img2img
        processed = process_images(p)
      File "D:\stable-diffusion-webui\modules\processing.py", line 845, in process_images
        res = process_images_inner(p)
      File "D:\stable-diffusion-webui\extensions\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 "D:\stable-diffusion-webui\modules\processing.py", line 915, in process_images_inner
        p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
      File "D:\stable-diffusion-webui\modules\processing.py", line 1621, in init
        crop_region = masking.expand_crop_region(crop_region, self.width, self.height, mask.width, mask.height)
      File "D:\stable-diffusion-webui\modules\masking.py", line 45, in expand_crop_region
        ratio_crop_region = (x2 - x1) / (y2 - y1)
    TypeError: unsupported operand type(s) for -: 'tuple' and 'int'

Steps to reproduce the problem

  1. img2img inpainting
  2. set inpaint area = Only Masked, Only masked padding, pixels = 0,
  3. generate

What should have happened?

No TypeError...

What browsers do you use to access the UI ?

Google Chrome

Sysinfo

sysinfo-2024-04-22-13-42.json

Console logs

Python 3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 12:40:08) [MSC v.1938 64 bit (AMD64)]
Version: v1.9.2-113-g97fd7b24
Commit hash: 97fd7b2485f7c42757b622040ac880f66ff1dc43
Launching Web UI with arguments: --xformers --api
Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
[-] ADetailer initialized. version: 24.4.2, num models: 13
ControlNet preprocessor location: D:\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads
2024-04-22 22:35:09,481 - ControlNet - INFO - ControlNet v1.1.443
2024-04-22 22:35:09,647 - ControlNet - INFO - ControlNet v1.1.443
Loading weights [5998292c04] from D:\stable-diffusion-webui\models\Stable-diffusion\Counterfeit-V3.0_fp16-no-ema.safetensors
2024-04-22 22:35:10,041 - ControlNet - INFO - ControlNet UI callback registered.
Creating model from config: D:\stable-diffusion-webui\configs\v1-inference.yaml
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 15.3s (prepare environment: 3.3s, import torch: 4.3s, import gradio: 1.5s, setup paths: 0.7s, initialize shared: 0.3s, other imports: 0.7s, load scripts: 2.1s, create ui: 0.8s, gradio launch: 0.4s, add APIs: 1.1s).
Loading VAE weights specified in settings: D:\stable-diffusion-webui\models\VAE\kl-f8-anime2.safetensors
Applying attention optimization: xformers... done.
Model loaded in 5.4s (load weights from disk: 0.9s, create model: 1.4s, apply weights to model: 2.6s, load VAE: 0.1s, calculate empty prompt: 0.2s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00,  3.01it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00,  4.11it/s]
0: 640x448 1 face, 111.6ms
Speed: 2.0ms preprocess, 111.6ms inference, 38.5ms postprocess per image at shape (1, 3, 640, 448)
modules\processing.py:1618 StableDiffusionProcessingImg2Img.init
    crop_region: (
        161,
        67,
        403,
        309,
    ) (tuple) len=4
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  6.55it/s]

0: 640x448 1 face, 10.6ms
Speed: 4.0ms preprocess, 10.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 448)
modules\processing.py:1618 StableDiffusionProcessingImg2Img.init
    crop_region: (
        154,
        47,
        404,
        297,
    ) (tuple) len=4
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  7.18it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:11<00:00,  1.78it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00,  4.06it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00,  4.06it/s]
0: 640x448 3 faces, 110.6ms
Speed: 2.1ms preprocess, 110.6ms inference, 4.4ms postprocess per image at shape (1, 3, 640, 448)
modules\processing.py:1618 StableDiffusionProcessingImg2Img.init
    crop_region: (
        197,
        78,
        349,
        (
            197,
            78,
            349,
            234,
        ),
    ) (tuple) len=4
*** Error running postprocess_image: D:\stable-diffusion-webui\extensions\adetailer\scripts\!adetailer.py
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui\modules\scripts.py", line 897, in postprocess_image
        script.postprocess_image(p, pp, *script_args)
      File "D:\stable-diffusion-webui\extensions\adetailer\adetailer\traceback.py", line 159, in wrapper
        raise error from None
    TypeError:
    ╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
    │                                                   System info                                                    │
    │ ┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
    │ ┃             ┃ Value                                                                                          ┃ │
    │ ┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
    │ │    Platform │ Windows-10-10.0.22631-SP0                                                                      │ │
    │ │      Python │ 3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 12:40:08) [MSC v.1938 64 bit (AMD64)]  │ │
    │ │     Version │ v1.9.2-113-g97fd7b24                                                                           │ │
    │ │      Commit │ 97fd7b2485f7c42757b622040ac880f66ff1dc43                                                       │ │
    │ │ Commandline │ ['launch.py', '--xformers', '--api']                                                           │ │
    │ │   Libraries │ {'torch': '2.2.2+cu121', 'torchvision': '0.17.2+cu121', 'ultralytics': '8.2.2', 'mediapipe':   │ │
    │ │             │ '0.10.11'}                                                                                     │ │
    │ └─────────────┴────────────────────────────────────────────────────────────────────────────────────────────────┘ │
    │                                                      Inputs                                                      │
    │ ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
    │ ┃                 ┃ Value                                                                                      ┃ │
    │ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
    │ │          prompt │ masterpiece, best quality, 1girl, __woman_clothes__, __places__, large breasts,            │ │
    │ │                 │ <lora:add_detail:0.5>                                                                      │ │
    │ │ negative_prompt │ (worst quality, low quality:1.1), text, title, logo, signature, (EasyNegativeV2:0.7),      │ │
    │ │                 │ (negative_hand-neg:0.7)                                                                    │ │
    │ │          n_iter │ 1                                                                                          │ │
    │ │      batch_size │ 2                                                                                          │ │
    │ │           width │ 512                                                                                        │ │
    │ │          height │ 768                                                                                        │ │
    │ │    sampler_name │ DPM++ 2M                                                                                   │ │
    │ │       enable_hr │ False                                                                                      │ │
    │ │     hr_upscaler │ Latent                                                                                     │ │
    │ │      checkpoint │ Counterfeit-V3.0_fp16-no-ema.safetensors [5998292c04]                                      │ │
    │ │             vae │ kl-f8-anime2.safetensors                                                                   │ │
    │ │            unet │ Automatic                                                                                  │ │
    │ └─────────────────┴────────────────────────────────────────────────────────────────────────────────────────────┘ │
    │                 ADetailer                                                                                        │
    │ ┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓                                                                        │
    │ ┃                     ┃ Value           ┃                                                                        │
    │ ┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩                                                                        │
    │ │             version │ 24.4.2          │                                                                        │
    │ │            ad_model │ face_yolov8s.pt │                                                                        │
    │ │           ad_prompt │                 │                                                                        │
    │ │  ad_negative_prompt │                 │                                                                        │
    │ │ ad_controlnet_model │ None            │                                                                        │
    │ │              is_api │ False           │                                                                        │
    │ └─────────────────────┴─────────────────┘                                                                        │
    │ ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮             │
    │ │ D:\stable-diffusion-webui\extensions\adetailer\adetailer\traceback.py:139 in wrapper             │             │
    │ │                                                                                                  │             │
    │ │   138 │   │   try:                                                                               │             │
    │ │ ❱ 139 │   │   │   return func(*args, **kwargs)                                                   │             │
    │ │   140 │   │   except Exception as e:                                                             │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\extensions\adetailer\scripts\!adetailer.py:805 in postprocess_image    │             │
    │ │                                                                                                  │             │
    │ │    804 │   │   │   │   │   continue                                                              │             │
    │ │ ❱  805 │   │   │   │   is_processed |= self._postprocess_image_inner(p, pp, args, n=n)           │             │
    │ │    806                                                                                           │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\extensions\adetailer\scripts\!adetailer.py:766 in                      │             │
    │ │ _postprocess_image_inner                                                                         │             │
    │ │                                                                                                  │             │
    │ │    765 │   │   │   try:                                                                          │             │
    │ │ ❱  766 │   │   │   │   processed = process_images(p2)                                            │             │
    │ │    767 │   │   │   except NansException as e:                                                    │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\modules\processing.py:845 in process_images                            │             │
    │ │                                                                                                  │             │
    │ │    844 │   │                                                                                     │             │
    │ │ ❱  845 │   │   res = process_images_inner(p)                                                     │             │
    │ │    846                                                                                           │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\modules\processing.py:915 in process_images_inner                      │             │
    │ │                                                                                                  │             │
    │ │    914 │   │   with devices.autocast():                                                          │             │
    │ │ ❱  915 │   │   │   p.init(p.all_prompts, p.all_seeds, p.all_subseeds)                            │             │
    │ │    916                                                                                           │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\modules\processing.py:1621 in init                                     │             │
    │ │                                                                                                  │             │
    │ │   1620 │   │   │   │   if crop_region:                                                           │             │
    │ │ ❱ 1621 │   │   │   │   │   crop_region = masking.expand_crop_region(crop_region, self.width, se  │             │
    │ │   1622 │   │   │   │   │   x1, y1, x2, y2 = crop_region                                          │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\modules\masking.py:45 in expand_crop_region                            │             │
    │ │                                                                                                  │             │
    │ │   44 │                                                                                           │             │
    │ │ ❱ 45 │   ratio_crop_region = (x2 - x1) / (y2 - y1)                                               │             │
    │ │   46 │   ratio_processing = processing_width / processing_height                                 │             │
    │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯             │
    │ TypeError: unsupported operand type(s) for -: 'tuple' and 'int'                                                  │
    ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯


---

0: 640x448 1 face, 9.5ms
Speed: 1.0ms preprocess, 9.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 448)
modules\processing.py:1618 StableDiffusionProcessingImg2Img.init
    crop_region: (
        213,
        111,
        314,
        (
            213,
            111,
            314,
            209,
        ),
    ) (tuple) len=4
*** Error running postprocess_image: D:\stable-diffusion-webui\extensions\adetailer\scripts\!adetailer.py
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui\modules\scripts.py", line 897, in postprocess_image
        script.postprocess_image(p, pp, *script_args)
      File "D:\stable-diffusion-webui\extensions\adetailer\adetailer\traceback.py", line 159, in wrapper
        raise error from None
    TypeError:
    ╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
    │                                                   System info                                                    │
    │ ┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
    │ ┃             ┃ Value                                                                                          ┃ │
    │ ┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
    │ │    Platform │ Windows-10-10.0.22631-SP0                                                                      │ │
    │ │      Python │ 3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 12:40:08) [MSC v.1938 64 bit (AMD64)]  │ │
    │ │     Version │ v1.9.2-113-g97fd7b24                                                                           │ │
    │ │      Commit │ 97fd7b2485f7c42757b622040ac880f66ff1dc43                                                       │ │
    │ │ Commandline │ ['launch.py', '--xformers', '--api']                                                           │ │
    │ │   Libraries │ {'torch': '2.2.2+cu121', 'torchvision': '0.17.2+cu121', 'ultralytics': '8.2.2', 'mediapipe':   │ │
    │ │             │ '0.10.11'}                                                                                     │ │
    │ └─────────────┴────────────────────────────────────────────────────────────────────────────────────────────────┘ │
    │                                                      Inputs                                                      │
    │ ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
    │ ┃                 ┃ Value                                                                                      ┃ │
    │ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
    │ │          prompt │ masterpiece, best quality, 1girl, __woman_clothes__, __places__, large breasts,            │ │
    │ │                 │ <lora:add_detail:0.5>                                                                      │ │
    │ │ negative_prompt │ (worst quality, low quality:1.1), text, title, logo, signature, (EasyNegativeV2:0.7),      │ │
    │ │                 │ (negative_hand-neg:0.7)                                                                    │ │
    │ │          n_iter │ 1                                                                                          │ │
    │ │      batch_size │ 2                                                                                          │ │
    │ │           width │ 512                                                                                        │ │
    │ │          height │ 768                                                                                        │ │
    │ │    sampler_name │ DPM++ 2M                                                                                   │ │
    │ │       enable_hr │ False                                                                                      │ │
    │ │     hr_upscaler │ Latent                                                                                     │ │
    │ │      checkpoint │ Counterfeit-V3.0_fp16-no-ema.safetensors [5998292c04]                                      │ │
    │ │             vae │ kl-f8-anime2.safetensors                                                                   │ │
    │ │            unet │ Automatic                                                                                  │ │
    │ └─────────────────┴────────────────────────────────────────────────────────────────────────────────────────────┘ │
    │                 ADetailer                                                                                        │
    │ ┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓                                                                        │
    │ ┃                     ┃ Value           ┃                                                                        │
    │ ┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩                                                                        │
    │ │             version │ 24.4.2          │                                                                        │
    │ │            ad_model │ face_yolov8s.pt │                                                                        │
    │ │           ad_prompt │                 │                                                                        │
    │ │  ad_negative_prompt │                 │                                                                        │
    │ │ ad_controlnet_model │ None            │                                                                        │
    │ │              is_api │ False           │                                                                        │
    │ └─────────────────────┴─────────────────┘                                                                        │
    │ ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮             │
    │ │ D:\stable-diffusion-webui\extensions\adetailer\adetailer\traceback.py:139 in wrapper             │             │
    │ │                                                                                                  │             │
    │ │   138 │   │   try:                                                                               │             │
    │ │ ❱ 139 │   │   │   return func(*args, **kwargs)                                                   │             │
    │ │   140 │   │   except Exception as e:                                                             │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\extensions\adetailer\scripts\!adetailer.py:805 in postprocess_image    │             │
    │ │                                                                                                  │             │
    │ │    804 │   │   │   │   │   continue                                                              │             │
    │ │ ❱  805 │   │   │   │   is_processed |= self._postprocess_image_inner(p, pp, args, n=n)           │             │
    │ │    806                                                                                           │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\extensions\adetailer\scripts\!adetailer.py:766 in                      │             │
    │ │ _postprocess_image_inner                                                                         │             │
    │ │                                                                                                  │             │
    │ │    765 │   │   │   try:                                                                          │             │
    │ │ ❱  766 │   │   │   │   processed = process_images(p2)                                            │             │
    │ │    767 │   │   │   except NansException as e:                                                    │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\modules\processing.py:845 in process_images                            │             │
    │ │                                                                                                  │             │
    │ │    844 │   │                                                                                     │             │
    │ │ ❱  845 │   │   res = process_images_inner(p)                                                     │             │
    │ │    846                                                                                           │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\modules\processing.py:915 in process_images_inner                      │             │
    │ │                                                                                                  │             │
    │ │    914 │   │   with devices.autocast():                                                          │             │
    │ │ ❱  915 │   │   │   p.init(p.all_prompts, p.all_seeds, p.all_subseeds)                            │             │
    │ │    916                                                                                           │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\modules\processing.py:1621 in init                                     │             │
    │ │                                                                                                  │             │
    │ │   1620 │   │   │   │   if crop_region:                                                           │             │
    │ │ ❱ 1621 │   │   │   │   │   crop_region = masking.expand_crop_region(crop_region, self.width, se  │             │
    │ │   1622 │   │   │   │   │   x1, y1, x2, y2 = crop_region                                          │             │
    │ │                                                                                                  │             │
    │ │ D:\stable-diffusion-webui\modules\masking.py:45 in expand_crop_region                            │             │
    │ │                                                                                                  │             │
    │ │   44 │                                                                                           │             │
    │ │ ❱ 45 │   ratio_crop_region = (x2 - x1) / (y2 - y1)                                               │             │
    │ │   46 │   ratio_processing = processing_width / processing_height                                 │             │
    │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯             │
    │ TypeError: unsupported operand type(s) for -: 'tuple' and 'int'                                                  │
    ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯


---
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00,  2.51it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:05<00:00,  3.98it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00,  4.11it/s]
0: 640x448 1 face, 111.8ms
Speed: 3.4ms preprocess, 111.8ms inference, 0.0ms postprocess per image at shape (1, 3, 640, 448)
modules\processing.py:1618 StableDiffusionProcessingImg2Img.init
    crop_region: (
        155,
        39,
        397,
        272,
    ) (tuple) len=4
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  6.50it/s]

0: 640x448 1 face, 11.2ms
Speed: 2.0ms preprocess, 11.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 448)
modules\processing.py:1618 StableDiffusionProcessingImg2Img.init
    crop_region: (
        123,
        70,
        380,
        325,
    ) (tuple) len=4
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  7.16it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:10<00:00,  1.87it/s]
modules\processing.py:1618 StableDiffusionProcessingImg2Img.init███████████████████████| 20/20 [00:10<00:00,  4.11it/s]
    crop_region: (
        178,
        146,
        321,
        (
            178,
            146,
            321,
            269,
        ),
    ) (tuple) len=4
*** Error completing request
*** Arguments: ('task(emtu1onp49wets7)', <gradio.routes.Request object at 0x00000221BD1766E0>, 2, 'masterpiece, best quality, 1girl, __woman_clothes__, __places__, large breasts, <lora:add_detail:0.5>', '(worst quality, low quality:1.1), text, title, logo, signature, (EasyNegativeV2:0.7), (negative_hand-neg:0.7)', [], None, None, {'image': <PIL.Image.Image image mode=RGBA size=512x768 at 0x222A9D31A50>, 'mask': <PIL.Image.Image image mode=RGB size=512x768 at 0x222A9D311E0>}, None, None, None, None, 4, 0, 1, 1, 1, 7.5, 1.5, 0.75, 0.0, 768, 512, 1, 0, 1, 0, 0, '', '', '', [], False, [], '', 0, 20, 'DPM++ 2M', 'Automatic', False, 1, 0.5, 4, 0, 0.5, 2, -1, False, -1, 0, 0, 0, False, '', 0.8, 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, 'ad_mask_max_ratio': 1, '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, '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, '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, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'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, 'ad_mask_max_ratio': 1, '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, '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, '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, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, UiControlNetUnit(enabled=False, module='none', model='None', 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=False, 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=-1, threshold_b=-1, 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), UiControlNetUnit(enabled=False, module='none', model='None', 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=False, control_mode='Balanced', inpaint_crop_input_image=True, hr_option='Both', save_detected_map=True, advanced_weighting=None), '* `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, None, None, False, None, None, False, None, None, False, 50, '<p style="margin-bottom:0.75em">Will upscale the image depending on the selected target size type</p>', 512, 0, 8, 32, 64, 0.35, 32, 0, True, 0, False, 8, 0, 0, 2048, 2048, 2) {}
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
      File "D:\stable-diffusion-webui\modules\call_queue.py", line 36, in f
        res = func(*args, **kwargs)
      File "D:\stable-diffusion-webui\modules\img2img.py", line 232, in img2img
        processed = process_images(p)
      File "D:\stable-diffusion-webui\modules\processing.py", line 845, in process_images
        res = process_images_inner(p)
      File "D:\stable-diffusion-webui\extensions\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 "D:\stable-diffusion-webui\modules\processing.py", line 915, in process_images_inner
        p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
      File "D:\stable-diffusion-webui\modules\processing.py", line 1621, in init
        crop_region = masking.expand_crop_region(crop_region, self.width, self.height, mask.width, mask.height)
      File "D:\stable-diffusion-webui\modules\masking.py", line 45, in expand_crop_region
        ratio_crop_region = (x2 - x1) / (y2 - y1)
    TypeError: unsupported operand type(s) for -: 'tuple' and 'int'

---
modules\processing.py:1618 StableDiffusionProcessingImg2Img.init
    crop_region: (
        178,
        146,
        321,
        (
            178,
            146,
            321,
            269,
        ),
    ) (tuple) len=4
*** Error completing request
*** Arguments: ('task(76p88mz5fyym2hp)', <gradio.routes.Request object at 0x00000221AC63C2B0>, 2, 'masterpiece, best quality, 1girl, __woman_clothes__, __places__, large breasts, <lora:add_detail:0.5>', '(worst quality, low quality:1.1), text, title, logo, signature, (EasyNegativeV2:0.7), (negative_hand-neg:0.7)', [], None, None, {'image': <PIL.Image.Image image mode=RGBA size=512x768 at 0x221ACADF820>, 'mask': <PIL.Image.Image image mode=RGB size=512x768 at 0x221ACC862C0>}, None, None, None, None, 4, 0, 1, 1, 1, 7.5, 1.5, 0.75, 0.0, 768, 512, 1, 0, 1, 0, 0, '', '', '', [], False, [], '', 0, 20, 'DPM++ 2M', 'Automatic', False, 1, 0.5, 4, 0, 0.5, 2, -1, False, -1, 0, 0, 0, False, '', 0.8, 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, 'ad_mask_max_ratio': 1, '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, '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, '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, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'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, 'ad_mask_max_ratio': 1, '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, '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, '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, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, UiControlNetUnit(enabled=False, module='none', model='None', 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=False, 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=-1, threshold_b=-1, 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), UiControlNetUnit(enabled=False, module='none', model='None', 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=False, control_mode='Balanced', inpaint_crop_input_image=True, hr_option='Both', save_detected_map=True, advanced_weighting=None), '* `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, None, None, False, None, None, False, None, None, False, 50, '<p style="margin-bottom:0.75em">Will upscale the image depending on the selected target size type</p>', 512, 0, 8, 32, 64, 0.35, 32, 0, True, 0, False, 8, 0, 0, 2048, 2048, 2) {}
    Traceback (most recent call last):
      File "D:\stable-diffusion-webui\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
      File "D:\stable-diffusion-webui\modules\call_queue.py", line 36, in f
        res = func(*args, **kwargs)
      File "D:\stable-diffusion-webui\modules\img2img.py", line 232, in img2img
        processed = process_images(p)
      File "D:\stable-diffusion-webui\modules\processing.py", line 845, in process_images
        res = process_images_inner(p)
      File "D:\stable-diffusion-webui\extensions\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 "D:\stable-diffusion-webui\modules\processing.py", line 915, in process_images_inner
        p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
      File "D:\stable-diffusion-webui\modules\processing.py", line 1621, in init
        crop_region = masking.expand_crop_region(crop_region, self.width, self.height, mask.width, mask.height)
      File "D:\stable-diffusion-webui\modules\masking.py", line 45, in expand_crop_region
        ratio_crop_region = (x2 - x1) / (y2 - y1)
    TypeError: unsupported operand type(s) for -: 'tuple' and 'int'

---

Additional information

mspaint_z0IlOVQ2Rh

Would this interpretation from pylance be helpful?

Currently, the return type of the get_crop_region_v2 function is either
tuple[int, int, int, int] or
tuple[int, int, int, tuple[...]]

This is because the ternary operator evaluates before the comma.

return max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask.size[0]), min(y2 + pad, mask.size[1]) if pad else box

In the return value above, the rightmost ternary operator is evaluated first because the return value is not enclosed in parentheses.

so if pad (if pad != 0)

the return value will be

max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask.size[0]), min(y2 + pad, mask.size[1]) if pad else box

else not pad

max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask.size[0]), min(y2 + pad, mask.size[1]) if pad else box

-> max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask.size[0]), box

    x1, y1, x2, y2 = crop_region

    ratio_crop_region = (x2 - x1) / (y2 - y1)

Therefore, the subsequent process will raise TypeError because y2 is a tuple.
@Bing-su Bing-su added the bug-report Report of a bug, yet to be confirmed label Apr 22, 2024
@w-e-w w-e-w self-assigned this Apr 22, 2024
@w-e-w w-e-w mentioned this issue Apr 22, 2024
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w-e-w commented Apr 22, 2024

thanks made a fix
I'm asking auto for a 1.9.3

@w-e-w
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w-e-w commented Apr 22, 2024

thanks again
master 1.9.3

@w-e-w w-e-w closed this as completed Apr 22, 2024
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