Error completing request when using reference_only with MasaCtrl

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environment
- [AUTOMATIC1111/stable-diffusion-webui Commit hash: 394ffa7b0a7fff3ec484bcd084e673a8b301ccc8](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
- [ControlNet v1.1](https://github.com/Mikubill/sd-webui-controlnet)
- [MasaCtrl](https://github.com/ashen-sensored/sd_webui_masactrl)
- Running on Ubuntu and python3.10.6
- [7th_layer_v3_C](https://huggingface.co/syaimu/7th_Layer/tree/main/7th_anime_v3)

I try to use reference_only preprocessor with MasaCtrl.
When I logging with MasaCtrl, no error occurred.
But when I recon, the error occurred.

Here is error log.
```
*** Error completing request
*** Arguments: ('task(p5b2nth0uy9u0fw)', 'masterpiece, best quality, simple background, face up ,blue hair, green eyes, 1 girl, smile', 'EasyNegativeV2', [], 20, 0, False, False, 1, 1, 7, 1436563493.0, -1.0, 0, 0, 0, False, 512, 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', '', , 1, 5.0, 10.0, 0.1, '19', False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False, False, False, '#000000', False, None, None, False, 50) {}
Traceback (most recent call last):
File "/home/shalin/stable-diffusion-webui/modules/call_queue.py", line 55, in f
res = list(func(*args, **kwargs))
File "/home/shalin/stable-diffusion-webui/modules/call_queue.py", line 35, in f
res = func(*args, **kwargs)
File "/home/shalin/stable-diffusion-webui/modules/txt2img.py", line 57, in txt2img
processed = processing.process_images(p)
File "/home/shalin/stable-diffusion-webui/modules/processing.py", line 620, in process_images
res = process_images_inner(p)
File "/home/shalin/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 "/home/shalin/stable-diffusion-webui/modules/processing.py", line 739, 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/shalin/stable-diffusion-webui/modules/processing.py", line 992, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "/home/shalin/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 439, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "/home/shalin/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 278, in launch_sampling
return func()
File "/home/shalin/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 439, in
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "/home/shalin/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/shalin/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 "/home/shalin/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/shalin/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 158, in forward
x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict([cond_in], image_cond_in))
File "/home/shalin/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/shalin/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 "/home/shalin/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "/home/shalin/stable-diffusion-webui/modules/sd_hijack_utils.py", line 17, in
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
File "/home/shalin/stable-diffusion-webui/modules/sd_hijack_utils.py", line 28, in __call__
return self.__orig_func(*args, **kwargs)
File "/home/shalin/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 "/home/shalin/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/shalin/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 "/home/shalin/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/shalin/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/hook.py", line 661, in forward_webui
return forward(*args, **kwargs)
File "/home/shalin/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/hook.py", line 364, in forward
for param in outer.control_params:
File "/home/shalin/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1614, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'UnetHook' object has no attribute 'control_params'

```

I don`t try other ControlNet model and preprocessor.

Reproduce the failure with ControlNet's reference_only preprocessor and MasaCtrl using the listed environment. Start at extensions/sd-webui-controlnet/scripts/hook.py around forward and the control_params access, then follow the traceback through the sampling path. Done means the same combination completes a request without the reported AttributeError.

Written by the indexing model from the issue text.