Error with ADetailer - dot or comma expected, but values I put in the UI seem to be ok ?

[cgidesign-de]

I am trying to use ADetailer in SD.next (updated: 2024-02-24) on Windows with Firefox.
It throws the error shown below.
It works until the Face Detail process finishes and then the error occures.

It has something to do with a value that should have . or , but I can't find out where the issue comes from. The parameters in the UI seem to be ok.

Appreciate your help.

`22:29:50-526782 ERROR    Exception: 'NoneType' object is not iterable
22:29:50-527875 ERROR    Arguments: args=('task(m0rjyubu5xg4e27)', 0.0, 'prompt text', [],
                         <PIL.Image.Image image mode=RGBA size=1024x1280 at 0x2311C5B7DF0>, None, None, None, None,
                         None, None, 40, 13, 4, 1, 1, True, False, False, 2, 1, 5, 6, 0.7, 0, 1, 0, 1, 0.5, -1.0, -1.0,
                         1, 0, 0, 0, 1280, 1024, 1, 1, 'None', 0, 32, 0, None, '', '', '', 0, 0, 0, 0, False, 4, 0.95,
                         False, 0.6, 1, '#000000', 0, [], 0, 1, 'None', 'None', 'None', 'None', 0.5, 0.5, 0.5, 0.5,
                         None, None, None, None, 0, 0, 0, 0, 1, 1, 1, 1, 'None', 16, 'None', 1, True, 'None', 2, True,
                         1, 0, True, 'none', 3, 4, 0.25, 0.25, True, 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': 'Default', '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': 'Default', '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': ()}, '', '',
                         0.5, True, 1, False, 'None', None, 4, 0.5, 'Linear', 'None', '<span>&nbsp
                         Outpainting</span><br>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left',
                         'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '<span>&nbsp
                         SD Upscale</span><br>', 64, 0, 2, 14, True, 1, 3, 6, 0.5, 0.1, 'None', 2, True, 1, 0, 0, '',
                         [], 0, '', [], 0, '', [], False, True, False, False, False, False, 0, 'None', [], 'FaceID
                         Base', True, True, 1, 1, 1, 0.5, False, 'person', 1, 0.5, True) kwargs={}
22:29:50-561761 ERROR    gradio call: TypeError
┌───────────────────────────────────────── Traceback (most recent call last) ─────────────────────────────────────────┐
│ F:\automatic\modules\call_queue.py:31 in f                                                                          │
│                                                                                                                     │
│   30 │   │   │   try:                                                                                               │
│ > 31 │   │   │   │   res = func(*args, **kwargs)                                                                    │
│   32 │   │   │   │   progress.record_results(id_task, res)                                                          │
│                                                                                                                     │
│ F:\automatic\modules\img2img.py:264 in img2img                                                                      │
│                                                                                                                     │
│   263 │   │   if processed is None:                                                                                 │
│ > 264 │   │   │   processed = processing.process_images(p)                                                          │
│   265 │   p.close()                                                                                                 │
│                                                                                                                     │
│ F:\automatic\modules\processing.py:187 in process_images                                                            │
│                                                                                                                     │
│   186 │   │   │   with context_hypertile_vae(p), context_hypertile_unet(p):                                         │
│ > 187 │   │   │   │   processed = process_images_inner(p)                                                           │
│   188                                                                                                               │
│                                                                                                                     │
│ F:\automatic\modules\processing.py:297 in process_images_inner                                                      │
│                                                                                                                     │
│   296 │   │   │   │   │   from modules.processing_diffusers import process_diffusers                                │
│ > 297 │   │   │   │   │   x_samples_ddim = process_diffusers(p)                                                     │
│   298 │   │   │   │   else:                                                                                         │
│                                                                                                                     │
│ F:\automatic\modules\processing_diffusers.py:409 in process_diffusers                                               │
│                                                                                                                     │
│   408 │   │   sd_models_compile.check_deepcache(enable=True)                                                        │
│ > 409 │   │   output = shared.sd_model(**base_args) # pylint: disable=not-callable                                  │
│   410 │   │   if isinstance(output, dict):                                                                          │
│                                                                                                                     │
│ F:\automatic\venv\lib\site-packages\torch\utils\_contextlib.py:115 in decorate_context                              │
│                                                                                                                     │
│   114 │   │   with ctx_factory():                                                                                   │
│ > 115 │   │   │   return func(*args, **kwargs)                                                                      │
│   116                                                                                                               │
│                                                                                                                     │
│ F:\automatic\venv\lib\site-packages\diffusers\pipelines\stable_diffusion_xl\pipeline_stable_diffusion_xl_inpaint.py │
│                                                                                                                     │
│   1598 │   │                                                                                                        │
│ > 1599 │   │   mask = self.mask_processor.preprocess(                                                               │
│   1600 │   │   │   mask_image, height=height, width=width, resize_mode=resize_mode, crops_coords=crops_coords       │
│                                                                                                                     │
│ F:\automatic\venv\lib\site-packages\diffusers\image_processor.py:497 in preprocess                                  │
│                                                                                                                     │
│   496 │   │   │   raise ValueError(                                                                                 │
│ > 497 │   │   │   │   f"Input is in incorrect format: {[type(i) for i in image]}. Currently, we only support {', '. │
│   498 │   │   │   )                                                                                                 │
└─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
TypeError: 'NoneType' object is not iterable`

[vladmandic]

create an issue, provide all required info and upload full log, this only shows error after-the-fact

[cgidesign-de]

Sure, before I do that an additional question. After more testing I found out it only happens in Image2Image if Batchcount is greater than 1.
In Text2Image it works with Batchcount > 1
In Image2Image it only works with Batchcount = 1 (but not with >1)

Is it intended to be like that?

[cgidesign-de]

I opened an issue, like requested.