WebUI no longer works after installing

[Gushousekai195]

Just installed the plugin and now the webui will not work at all, feedback disabled or not.

Error completing request
Arguments: ('task(pdqdesrz32oceg8)', 'xxxx', [], 30, 0, False, False, 1, 4, 7, -1.0, -1.0, 0, 0, 0, False, 768, 512, False, 0.7, 2, 'Latent', 0, 0, 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', '', <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x0000021EE7BFF1F0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x0000021EE7BFFFA0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x0000021EE7C54CD0>, '', None, ['artist', 'character', 'species', 'general'], '', 'Reset form', 'Generate', [<PIL.Image.Image image mode=RGB size=944x1200 at 0x21EE7E3D840>], [], False, 4, 0, 0.8, 0, 0.8, 0.5, False, 2.75, 0.9, 1, -1, -1, -1, -1, -1, -1, -1, -1, False, '0', False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, 5, 'all', 'all', 'all', '', '', '', '1', 'none', False, '', '', 'comma', '', True, '', '20', 'all', 'all', 'all', 'all', None, None, False, None, None, False, None, None, False, 50) {}
Traceback (most recent call last):
  File "C:\Users\mattb\stable-diffusion-webui\modules\call_queue.py", line 57, in f
    res = list(func(*args, **kwargs))
  File "C:\Users\mattb\stable-diffusion-webui\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\modules\txt2img.py", line 57, in txt2img
    processed = processing.process_images(p)
  File "C:\Users\mattb\stable-diffusion-webui\modules\processing.py", line 610, in process_images
    res = process_images_inner(p)
  File "C:\Users\mattb\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
    return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\modules\processing.py", line 728, 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 "C:\Users\mattb\stable-diffusion-webui\modules\processing.py", line 976, in sample
    samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 383, in sample
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 257, in launch_sampling
    return func()
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 383, in <lambda>
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 156, in forward
    x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict(c_crossattn, image_cond_in[a:b]))
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
    out = self.diffusion_model(x, t, context=cc)
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\extensions\sd-webui-fabric\scripts\patching.py", line 57, in new_forward
    ctx = context[batch_size:][:1].expand(all_zs.size(0), -1, -1)  # (n_pos + n_neg, p_seq, p_dim)
RuntimeError: The expanded size of the tensor (1) must match the existing size (0) at non-singleton dimension 0.  Target sizes: [1, -1, -1].  Tensor sizes: [0, 77, 768]

Good feelings gone

[dvruette]

It seems like you're using ControlNet (and potentially other plugins) in conjunction with FABRIC, is that accurate? I haven't tested FABRIC's compatibility with other plugins, so it would be helpful if you could try turning off all other plugins to see if it's an issue with the plugin itself or a compatibility issue between this and another plugin. Also, if you can figure out which plugins is incompatible with FABRIC, please let me know so I can investigate.

Keep in mind that this is an alpha version of the plugin, so issues like this are not unexpected.

[dvruette]

I've just tested compatibility with ControlNet and as far as I can tell, it seems to work well with canny but does not work with reference (which is expected as this mode also works through attention injection). Make sure to update all your plugins to the latest version and let me know if you find any incompatibilities.

[Gushousekai195]

I disabled every single extension and still...

Error completing request
Arguments: ('task(fl205u9ussi8xsw)', 'xxxxx', 'xxxxx', [], 20, 16, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 768, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', [], 0, [<PIL.Image.Image image mode=RGB size=944x1200 at 0x14BEDE4CDC0>], [], False, 4, 0, 0.8, 0, 0.8, 0.5, False, '0', False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0) {}
Traceback (most recent call last):
  File "C:\Users\mattb\stable-diffusion-webui\modules\call_queue.py", line 57, in f
    res = list(func(*args, **kwargs))
  File "C:\Users\mattb\stable-diffusion-webui\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\modules\txt2img.py", line 57, in txt2img
    processed = processing.process_images(p)
  File "C:\Users\mattb\stable-diffusion-webui\modules\processing.py", line 610, in process_images
    res = process_images_inner(p)
  File "C:\Users\mattb\stable-diffusion-webui\modules\processing.py", line 728, 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 "C:\Users\mattb\stable-diffusion-webui\modules\processing.py", line 976, in sample
    samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 383, in sample
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 257, in launch_sampling
    return func()
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 383, in <lambda>
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 594, in sample_dpmpp_2m
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 156, in forward
    x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict(c_crossattn, image_cond_in[a:b]))
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "C:\Users\mattb\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
    out = self.diffusion_model(x, t, context=cc)
  File "C:\Users\mattb\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\Users\mattb\stable-diffusion-webui\extensions\sd-webui-fabric\scripts\patching.py", line 57, in new_forward
    ctx = context[batch_size:][:1].expand(all_zs.size(0), -1, -1)  # (n_pos + n_neg, p_seq, p_dim)
RuntimeError: The expanded size of the tensor (1) must match the existing size (0) at non-singleton dimension 0.  Target sizes: [1, -1, -1].  Tensor sizes: [0, 77, 768]

[Gushousekai195]

Latest update has fixed the issue.