[Bug]: Inpainting doesn't work with certain samplers

[itterative]

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?

Inpainting gives an error when using the following samplers:

• Euler SMEA Dy CFG++
• Euler Dy CFG++

Some other samplers I tested that are working:

• Euler
• Euler A
• Euler A Dy CFG++
• DPM++ 2M
• DPM++ 2M Dy

Some variations I tested, but made no difference:

• w/ and w/o lora
• on nad off mahiro cfg

Steps to reproduce the problem

1. Upload image to img2img inpaint tab
2. Switch to one of the samplers above (e.g. Euler SMEA Dy CFG++)
3. Paint the mask
4. Click on generate

What should have happened?

Inpainting should work with all samplers.

What browsers do you use to access the UI ?

Mozilla Firefox

Sysinfo

sysinfo-2024-12-28-12-42.json

Console logs

Traceback (most recent call last):                                                               | 0/120 [00:00<?, ?it/s]
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules_forge/main_thread.py", line 37, in loop
    task.work()
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules_forge/main_thread.py", line 26, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/img2img.py", line 235, in img2img_function
    processed = process_images(p)
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/processing.py", line 823, in process_images
    res = process_images_inner(p)
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/processing.py", line 981, in process_images_inner
    samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/processing.py", line 1803, in sample
    samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules_forge/forge_alter_samplers.py", line 136, in sample_img2img
    return super().sample_img2img(p, x, noise, conditioning, unconditional_conditioning, steps, image_conditioning)
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/sd_samplers_kdiffusion.py", line 238, in sample_img2img
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/sd_samplers_common.py", line 280, in launch_sampling
    return func()
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/sd_samplers_kdiffusion.py", line 238, in <lambda>
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/home/sd/SD/stable-diffusion-webui-reForge/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/home/sd/SD/stable-diffusion-webui-reForge/ldm_patched/k_diffusion/sampling.py", line 2187, in sample_euler_smea_dy_cfg_pp
    x = smea_sampling_step_cfg_pp(x, model, sigmas[i + 1], i, sigmas[i], sigma_hat, callback, **extra_args)
  File "/home/sd/SD/stable-diffusion-webui-reForge/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/home/sd/SD/stable-diffusion-webui-reForge/ldm_patched/k_diffusion/sampling.py", line 2123, in smea_sampling_step_cfg_pp
    denoised = model(x, sigma_hat * x.new_ones([x.shape[0]]), **rescaler.extra_args)
  File "/home/sd/SD/stable-diffusion-webui-reForge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/home/sd/SD/stable-diffusion-webui-reForge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/sd_samplers_cfg_denoiser.py", line 245, in forward
    denoised = apply_blend(denoised)
  File "/home/sd/SD/stable-diffusion-webui-reForge/modules/sd_samplers_cfg_denoiser.py", line 145, in apply_blend
    blended_latent = current_latent * self.nmask + noisy_initial_latent * self.mask
RuntimeError: The size of tensor a (195) must match the size of tensor b (156) at non-singleton dimension 3
The size of tensor a (195) must match the size of tensor b (156) at non-singleton dimension 3
*** Error completing request
*** Arguments: ('task(mosre46fdue36r1)', <gradio.routes.Request object at 0x78ba90532350>, 2, 'A_POSITIVE PROMPT\n<lora:A_LORA:1>', 'A_NEGATIVE PROMPT', [], <PIL.Image.Image image mode=RGBA size=1248x1824 at 0x78BA6D31E530>, None, {'image': <PIL.Image.Image image mode=RGBA size=1248x1824 at 0x78BA6D31E320>, 'mask': <PIL.Image.Image image mode=RGB size=1248x1824 at 0x78BA6D31E2F0>}, None, None, None, None, 4, 0, 1, 4, 1, 1.2, 1.5, 0.45, 0.0, 1824, 1248, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', 0, 30, 'Euler SMEA DY CFG++', 'SGM Uniform', False, '', 0.8, -1, False, -1, 0, 0, 0, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, 3, 0, 'full', 0, 'middle', 0, '', False, 7, 3, 0, 'full', 0, -1.0, -1.0, False, 3, 0, 'full', -1, 'middle', 0, '', False, 7, 3, 0, 'full', -1, -1.0, -1.0, False, 5, 768, 768, 256, False, 7, 5, -1.0, 5.42, ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='controlnetxlCNXL_bdsqlszCanny [a74daa41]', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=832, threshold_a=0.5, threshold_b=0.5, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), 'NONE:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nALL:1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1\nINS:1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0\nIND:1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0\nINALL:1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0\nMIDD:1,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0\nOUTD:1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0\nOUTS:1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1\nOUTALL:1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1\nALL0.5:0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', False, 0, 'values', '0,0.25,0.5,0.75,1', 'Block ID', 'IN05-OUT05', 'none', '', '0.5,1', 'BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11', 1.0, 'black', '20', False, 'ATTNDEEPON:IN05-OUT05:attn:1\n\nATTNDEEPOFF:IN05-OUT05:attn:0\n\nPROJDEEPOFF:IN05-OUT05:proj:0\n\nXYZ:::1', False, False, False, False, False, 0.5, 0.18, 15, 1, False, 5.42, 0.28, False, 0.7, False, 'Discrete', 'v_prediction', True, 'v_prediction', 120, 0.002, 120, 0.002, 2, 2, 2, 1.15, 0.5, 1024, 1024, True, '* `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, 0, False, False, False, False, False, False, 0, False) {}
    Traceback (most recent call last):
      File "/home/sd/SD/stable-diffusion-webui-reForge/modules/call_queue.py", line 74, in f
        res = list(func(*args, **kwargs))
    TypeError: 'NoneType' object is not iterable

---

Additional information

No response

[Hugs288]

same problem.

also using these samplers in hires fix wont give an error but gives terrible results

if i change sampler it works perfectly

heres my long ass error:
Traceback (most recent call last): | 0/26 [00:00<?, ?it/s]
File "J:\aistuff\stable-diffusion-webui-reForge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "J:\aistuff\stable-diffusion-webui-reForge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\img2img.py", line 235, in img2img_function
processed = process_images(p)
^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\processing.py", line 823, in process_images
res = process_images_inner(p)
^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\processing.py", line 981, in process_images_inner
samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\processing.py", line 1803, in sample
samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules_forge\forge_alter_samplers.py", line 136, in sample_img2img
return super().sample_img2img(p, x, noise, conditioning, unconditional_conditioning, steps, image_conditioning)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_kdiffusion.py", line 238, in sample_img2img
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_common.py", line 280, in launch_sampling
return func()
^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_kdiffusion.py", line 238, in
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\ldm_patched\k_diffusion\sampling.py", line 2268, in sample_euler_smea_dy_cfg_pp
x = smea_sampling_step_cfg_pp(x, model, sigmas[i + 1], i, sigmas[i], sigma_hat, callback, **extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\ldm_patched\k_diffusion\sampling.py", line 2204, in smea_sampling_step_cfg_pp
denoised = model(x, sigma_hat * x.new_ones([x.shape[0]]), *rescaler.extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_cfg_denoiser.py", line 245, in forward
denoised = apply_blend(denoised)
^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_cfg_denoiser.py", line 145, in apply_blend
blended_latent = current_latent * self.nmask + noisy_initial_latent * self.mask
~~~~~~~~~~~~~~~^~~~~~~~~~~~
RuntimeError: The size of tensor a (195) must match the size of tensor b (156) at non-singleton dimension 3
The size of tensor a (195) must match the size of tensor b (156) at non-singleton dimension 3
*** Error completing request
*** Arguments: ('task(l08kcqn4cekb5bo)', <gradio.routes.Request object at 0x000002C78ADEC6D0>, 2, '1girl, minato aqua, hololive', 'worst quality, low quality, lowres, signature, username, logo, watermark, artist name, jpeg artifacts, old, oldest, bad anatomy, bad hands, multiple views, censored, greyscale, monochrome', [], <PIL.Image.Image image mode=RGBA size=832x1216 at 0x2C79F1B6BD0>, None, {'image': <PIL.Image.Image image mode=RGBA size=1248x1824 at 0x2CA5D8CB090>, 'mask': <PIL.Image.Image image mode=RGB size=1248x1824 at 0x2C7A23AB210>}, None, None, None, None, 4, 0, 1, 1, 1, 1, 1.5, 0.9, 1.0, 1024, 1024, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', 0, False, 1, 0.5, 4, 0, 0.5, 2, 28, 'Euler SMEA DY CFG++', 'SGM Uniform', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, {'ad_model': 'face_yolov8n.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 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': 8, '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': True, 'ad_steps': 18, 'ad_use_cfg_scale': True, 'ad_cfg_scale': 1, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': True, 'ad_sampler': 'Euler Ancestral CFG++', 'ad_scheduler': 'SGM Uniform', '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_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 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_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 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_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 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': ()}, '', 'Get Tags', True, True, False, 2, 0, 0, 0, 'R-ESRGAN 4x+', '', '', 0.33, 'Use same sampler', 0, 'Use same scheduler', True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, 'After applying other prompt processings', -1.0, 'long', '', '<|special|>, \n<|characters|>, <|copyrights|>, \n<|artist|>, \n\n<|general|>, \n\n<|quality|>, <|meta|>, <|rating|>', 1.35, 0.95, 100, 'KBlueLeaf/DanTagGen-delta-rev2', False, False, False, 'After applying other prompt processings', 1234.0, 'long', 'long', '. background', '<|special|>, <|characters|>, <|copyrights|>, \n<|artist|>, \n\n<|general|>,\n\n<|quality|>, <|meta|>, <|rating|>', 'tag only (DTG mode)', 0.5, 0.95, 80, 'KBlueLeaf/TIPO-500M | TIPO-500M_epoch5-F16.gguf', False, False, '', '', ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), 'NONE:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nALL:1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1\nINS:1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0\nIND:1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0\nINALL:1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0\nMIDD:1,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0\nOUTD:1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0\nOUTS:1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1\nOUTALL:1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1\nALL0.5:0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', False, 0, 'values', '0,0.25,0.5,0.75,1', 'Block ID', 'IN05-OUT05', 'none', '', '0.5,1', 'BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11', 1.0, 'black', '20', False, 'ATTNDEEPON:IN05-OUT05:attn:1\n\nATTNDEEPOFF:IN05-OUT05:attn:0\n\nPROJDEEPOFF:IN05-OUT05:proj:0\n\nXYZ:::1', False, False, False, False, False, False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 'Single Scale', 7, False, False, 7, 5, 5, False, 0.5, 0.18, 15, 1, False, 5.42, 0.28, False, 0.7, True, 'Discrete', 'v_prediction', True, 'v_prediction', 120, 0.002, 120, 0.002, 2, 2, 2, 1.15, 0.5, 1024, 1024, False, False, 'SDXL', '', 'Equal Weights', 832, 1216, False, 'MultiDiffusion', 768, 768, 64, 4, 'random', False, False, 'Average', 0.5, 0.5, 1, 10, False, 20, False, 20, 20, 'SD1', False, '((1 - cos(2 * pi * (1-y0.5) * 0.5)) / 2)*sigmax+((1 - cos(2 * pi * y0.5 * 0.5)) / 2)sigmin', 20, False, False, 0, 'anisotropic', 'None', False, 0, 'reinhard', 100, 0, False, 'gaussian', 'add', 0, 100, 'subtract', 0, 0, False, 127, 0, 'hard_clamp', 5, 0, False, 'None', False, 'Disabled', False, ' 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, 0, False, False, False, False, False, False, 0, False, '

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 "J:\aistuff\stable-diffusion-webui-reForge\modules\call_queue.py", line 74, in f
res = list(func(*args, **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: 'NoneType' object is not iterable

---

0%| | 0/26 [00:00<?, ?it/s]
Traceback (most recent call last): | 2/26 [01:54<22:50, 57.10s/it]
File "J:\aistuff\stable-diffusion-webui-reForge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "J:\aistuff\stable-diffusion-webui-reForge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\img2img.py", line 235, in img2img_function
processed = process_images(p)
^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\processing.py", line 823, in process_images
res = process_images_inner(p)
^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\processing.py", line 981, in process_images_inner
samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\processing.py", line 1803, in sample
samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules_forge\forge_alter_samplers.py", line 136, in sample_img2img
return super().sample_img2img(p, x, noise, conditioning, unconditional_conditioning, steps, image_conditioning)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_kdiffusion.py", line 238, in sample_img2img
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_common.py", line 280, in launch_sampling
return func()
^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_kdiffusion.py", line 238, in
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\ldm_patched\k_diffusion\sampling.py", line 2268, in sample_euler_smea_dy_cfg_pp
x = smea_sampling_step_cfg_pp(x, model, sigmas[i + 1], i, sigmas[i], sigma_hat, callback, **extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\ldm_patched\k_diffusion\sampling.py", line 2204, in smea_sampling_step_cfg_pp
denoised = model(x, sigma_hat * x.new_ones([x.shape[0]]), *rescaler.extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_cfg_denoiser.py", line 245, in forward
denoised = apply_blend(denoised)
^^^^^^^^^^^^^^^^^^^^^
File "J:\aistuff\stable-diffusion-webui-reForge\modules\sd_samplers_cfg_denoiser.py", line 145, in apply_blend
blended_latent = current_latent * self.nmask + noisy_initial_latent * self.mask
~~~~~~~~~~~~~~~^~~~~~~~~~~~
RuntimeError: The size of tensor a (195) must match the size of tensor b (156) at non-singleton dimension 3
The size of tensor a (195) must match the size of tensor b (156) at non-singleton dimension 3
*** Error completing request
*** Arguments: ('task(xna3w2schrrb3f2)', <gradio.routes.Request object at 0x000002C7A2390390>, 2, '1girl, minato aqua, hololive', 'worst quality, low quality, lowres, signature, username, logo, watermark, artist name, jpeg artifacts, old, oldest, bad anatomy, bad hands, multiple views, censored, greyscale, monochrome', [], <PIL.Image.Image image mode=RGBA size=832x1216 at 0x2C78AD52B50>, None, {'image': <PIL.Image.Image image mode=RGBA size=1248x1824 at 0x2C78AD52650>, 'mask': <PIL.Image.Image image mode=RGB size=1248x1824 at 0x2C7E3093BD0>}, None, None, None, None, 4, 0, 1, 1, 1, 1, 1.5, 0.9, 1.0, 1024, 1024, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', 0, False, 1, 0.5, 4, 0, 0.5, 2, 28, 'Euler SMEA DY CFG++', 'SGM Uniform', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, {'ad_model': 'face_yolov8n.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 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': 8, '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': True, 'ad_steps': 18, 'ad_use_cfg_scale': True, 'ad_cfg_scale': 1, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': True, 'ad_sampler': 'Euler Ancestral CFG++', 'ad_scheduler': 'SGM Uniform', '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_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 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_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 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_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 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': ()}, '', 'Get Tags', True, True, False, 2, 0, 0, 0, 'R-ESRGAN 4x+', '', '', 0.33, 'Use same sampler', 0, 'Use same scheduler', True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, 'After applying other prompt processings', -1.0, 'long', '', '<|special|>, \n<|characters|>, <|copyrights|>, \n<|artist|>, \n\n<|general|>, \n\n<|quality|>, <|meta|>, <|rating|>', 1.35, 0.95, 100, 'KBlueLeaf/DanTagGen-delta-rev2', False, False, False, 'After applying other prompt processings', 1234.0, 'long', 'long', '. background', '<|special|>, <|characters|>, <|copyrights|>, \n<|artist|>, \n\n<|general|>,\n\n<|quality|>, <|meta|>, <|rating|>', 'tag only (DTG mode)', 0.5, 0.95, 80, 'KBlueLeaf/TIPO-500M | TIPO-500M_epoch5-F16.gguf', False, False, '', '', ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], multi_inputs_gallery=[], generated_image=None, mask_image=None, hr_option=<HiResFixOption.BOTH: 'Both'>, enabled=False, module='None', model='None', weight=1, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, advanced_weighting=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, save_detected_map=True), 'NONE:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\nALL:1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1\nINS:1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0\nIND:1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0\nINALL:1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0\nMIDD:1,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0\nOUTD:1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0\nOUTS:1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1\nOUTALL:1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1\nALL0.5:0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5', False, 0, 'values', '0,0.25,0.5,0.75,1', 'Block ID', 'IN05-OUT05', 'none', '', '0.5,1', 'BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11', 1.0, 'black', '20', False, 'ATTNDEEPON:IN05-OUT05:attn:1\n\nATTNDEEPOFF:IN05-OUT05:attn:0\n\nPROJDEEPOFF:IN05-OUT05:proj:0\n\nXYZ:::1', False, False, False, False, False, False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 'Single Scale', 7, False, False, 7, 5, 5, False, 0.5, 0.18, 15, 1, False, 5.42, 0.28, False, 0.7, True, 'Discrete', 'v_prediction', True, 'v_prediction', 120, 0.002, 120, 0.002, 2, 2, 2, 1.15, 0.5, 1024, 1024, False, False, 'SDXL', '', 'Equal Weights', 832, 1216, False, 'MultiDiffusion', 768, 768, 64, 4, 'random', False, False, 'Average', 0.5, 0.5, 1, 10, False, 20, False, 20, 20, 'SD1', False, '((1 - cos(2 * pi * (1-y0.5) * 0.5)) / 2)*sigmax+((1 - cos(2 * pi * y0.5 * 0.5)) / 2)sigmin', 20, False, False, 0, 'anisotropic', 'None', False, 0, 'reinhard', 100, 0, False, 'gaussian', 'add', 0, 100, 'subtract', 0, 0, False, 127, 0, 'hard_clamp', 5, 0, False, 'None', False, 'Disabled', False, ' 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, 0, False, False, False, False, False, False, 0, False, '

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 "J:\aistuff\stable-diffusion-webui-reForge\modules\call_queue.py", line 74, in f
res = list(func(*args, **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: 'NoneType' object is not iterable

---