UnboundLocalError: local variable 'cond_cast_unet' referenced before assignment

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I am having the following errors: what should I do?

`Traceback (most recent call last):
File "D:\Stable\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "D:\Stable\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "D:\Stable\stable-diffusion-webui\modules\txt2img.py", line 52, in txt2img
processed = process_images(p)
File "D:\Stable\stable-diffusion-webui\modules\processing.py", line 487, in process_images
res = process_images_inner(p)
File "D:\Stable\stable-diffusion-webui\modules\processing.py", line 629, in process_images_inner
samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
File "D:\Stable\stable-diffusion-webui\modules\processing.py", line 829, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "D:\Stable\stable-diffusion-webui\modules\sd_samplers.py", line 544, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "D:\Stable\stable-diffusion-webui\modules\sd_samplers.py", line 447, in launch_sampling
return func()
File "D:\Stable\stable-diffusion-webui\modules\sd_samplers.py", line 544, in
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "D:\Stable\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "D:\Stable\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 "D:\Stable\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Stable\stable-diffusion-webui\modules\sd_samplers.py", line 337, in forward
x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]})
File "D:\Stable\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Stable\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 "D:\Stable\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "D:\Stable\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
File "D:\Stable\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__
return self.__orig_func(*args, **kwargs)
File "D:\Stable\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 "D:\Stable\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Stable\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1329, in forward
out = self.diffusion_model(x, t, context=cc)
File "D:\Stable\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Stable\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 147, in forward2
return forward(*args, **kwargs)
File "D:\Stable\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 112, in forward
control = outer.control_model(x=x, hint=outer.hint_cond, timesteps=timesteps, context=context)
File "D:\Stable\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Stable\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 425, in forward
t_emb = cond_cast_unet(timestep_embedding(
UnboundLocalError: local variable 'cond_cast_unet' referenced before assignment`

Start with extensions/sd-webui-controlnet/scripts/cldm.py and trace the forward path to line 425, where cond_cast_unet is referenced. Reproduce the reported image-generation failure and determine which execution path leaves that local variable unassigned; done means the reported traceback no longer occurs for that path.

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