AttributeError: 'NoneType' object has no attribute 'to'

[Sirlansolot]

Arguments: ('task(3a5f3hit1c4rin6)', '', '', [], 20, 0, True, False, 1, 1, 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 0x0000027A224B7D00>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x0000027B3C3F9DB0>, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, None, None, False, 50) {} Traceback (most recent call last): File "C:\A1111\stable-diffusion-webui\modules\call_queue.py", line 57, in f res = list(func(*args, **kwargs)) File "C:\A1111\stable-diffusion-webui\modules\call_queue.py", line 37, in f res = func(*args, **kwargs) File "C:\A1111\stable-diffusion-webui\modules\txt2img.py", line 57, in txt2img processed = processing.process_images(p) File "C:\A1111\stable-diffusion-webui\modules\processing.py", line 610, in process_images res = process_images_inner(p) File "C:\A1111\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:\A1111\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:\A1111\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\hook.py", line 293, in process_sample return process.sample_before_CN_hack(*args, **kwargs) File "C:\A1111\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:\A1111\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:\A1111\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 257, in launch_sampling return func() File "C:\A1111\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 383, in samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "C:\A1111\stable-diffusion-webui\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\A1111\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:\A1111\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\A1111\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 143, in forward x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict([cond_in[a:b]], image_cond_in[a:b])) File "C:\A1111\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\A1111\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:\A1111\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:\A1111\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs)) File "C:\A1111\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in call return self.__orig_func(*args, **kwargs) File "C:\A1111\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:\A1111\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1538, in _call_impl result = forward_call(*args, **kwargs) File "C:\A1111\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:\A1111\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "C:\A1111\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\hook.py", line 628, in forward_webui return forward(*args, **kwargs) File "C:\A1111\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\hook.py", line 390, in forward param.control_model.to(devices.get_device_for("controlnet")) AttributeError: 'NoneType' object has no attribute 'to'

since release I've been getting error after error for controlnet reference, is it just me? At this point I just give up

[orangekiller404]

Me too！！Have you solved it？