Input type (torch.cuda.HalfTensor) and weight type (torch.HalfTensor) should be the same

[Neytiri7]

DeepCache success rate: 0.0% (0/1) 0%| | 0/70 [00:00<?, ?it/s] *** Error completing request *** Arguments: ('task(k2hjjwyffxapmui)', '', '', [], 70, 'DPM++ 3M SDE Exponential', 1, 1, 27.5, 768, 512, True, 0.43, 2, '4x-UltraMix_Balanced', 23, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], <gradio.routes.Request object at 0x000001FFE43AE470>, 0, False, '', 0.8, -1, False, -1, 0, 0, 0, 0.07, True, False, {'ad_model': 'hand_yolov8s.pt', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 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 Karras', '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': 'deepfashion2_yolov8s-seg.pt', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 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 Karras', '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_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 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 Karras', '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': ()}, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', True, 7, 97.5, 'Half Cosine Up', 3, 'Power Up', 7, 9, True, 'MEAN', 'AD', 0.9, <scripts.animatediff_ui.AnimateDiffProcess object at 0x000001FFF9813CD0>, True, 'Use same checkpoint', 'Use same vae', 0.3, 0.1, 'None', 'None', False, 0.15, 3, 0.4, 4, 'bicubic', 0.45, 2, True, False, True, False, False, False, 'Use same checkpoint', 'Use same vae', 'txt2img-1pass', 'None', '', '', 'Use same sampler', 'BMAB fast', 20, 7, 0.75, 0.5, 0, 1, False, False, None, '', '', 'Use same sampler', 20, 7, 0.75, 4, 0.35, False, 50, 200, 0.5, False, True, 'stretching', 'center', 'None', 0.85, 0.75, False, 'Use same checkpoint', True, '', '', 'Use same sampler', 'BMAB fast', 20, 7, 0.75, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, None, False, 1, False, '', True, False, False, True, True, 4, 2, 0.1, 1, 1, 0, 0.4, 7, True, False, False, 'Score', 1, '', '', '', '', '', '', '', '', '', '', False, 512, 512, 7, 20, 4, 'Use same sampler', 'Only masked', 32, 'BMAB Face(Normal)', 0.4, 4, 0.3, False, 0.26, True, True, False, 'subframe', '', '', 0.4, 7, True, 2, 0.3, 0.1, 'Whole picture', 32, '', False, False, False, 0.4, 0, 1, False, 'Intermediate', 0.85, 0.4, 10, False, True, 'None', 1.5, 'None', 'Defult', 'None', '3e6a0e70-ea32-4ed2-a58e-b4b60ccfd569', True, {'postprocess_latent_txt2img': False, 'postprocess_txt2img': False, 'postprocess_image_txt2img': False, 'before_save_image_txt2img': False}, UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), False, False, 'Matrix', 'Columns', 'Mask', 'Prompt', '1,1', '0.2', False, False, False, 'Attention', [False], '0', '0', '0.4', None, '0', '0', False, False, False, 'positive', 'comma', 0, False, False, '', 0, '', [], 0, '', [], 0, '', [], False, False, False, True, 0, False, None, None, False, None, None, False, None, None, False, 50, [], 30, '', 4, [], 1, '', '', '', '') {} Traceback (most recent call last): File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\call_queue.py", line 57, in f res = list(func(*args, **kwargs)) File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\call_queue.py", line 36, in f res = func(*args, **kwargs) File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\txt2img.py", line 55, in txt2img processed = processing.process_images(p) File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\processing.py", line 732, in process_images res = process_images_inner(p) File "O:\AI\SynologyDrive\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 "O:\AI\SynologyDrive\stable-diffusion-webui\modules\processing.py", line 867, 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 "O:\AI\SynologyDrive\stable-diffusion-webui\extensions\sd-webui-comfyui\lib_comfyui\webui\patches.py", line 104, in p_sample_patch x = original_function(*args, **kwargs) File "O:\AI\SynologyDrive\stable-diffusion-webui\extensions\sd-webui-bmab\sd_bmab\sd_override\txt2img.py", line 38, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 235, in sample samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs)) File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\sd_samplers_common.py", line 261, in launch_sampling return func() File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 235, in samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs)) File "O:\AI\SynologyDrive\stable-diffusion-webui\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "O:\AI\SynologyDrive\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 668, in sample_dpmpp_3m_sde denoised = model(x, sigmas[i] * s_in, **extra_args) File "O:\AI\SynologyDrive\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\sd_samplers_cfg_denoiser.py", line 169, in forward x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in)) File "O:\AI\SynologyDrive\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "O:\AI\SynologyDrive\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 "O:\AI\SynologyDrive\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps return self.inner_model.apply_model(*args, **kwargs) File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs)) File "O:\AI\SynologyDrive\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in call return self.__orig_func(*args, **kwargs) File "O:\AI\SynologyDrive\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 "O:\AI\SynologyDrive\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "O:\AI\SynologyDrive\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 "O:\AI\SynologyDrive\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "O:\AI\SynologyDrive\stable-diffusion-webui\extensions\sd-webui-deepcache-standalone\deepcache.py", line 89, in hijacked_unet_forward h = forward_timestep_embed(module, h, emb, context) File "O:\AI\SynologyDrive\stable-diffusion-webui\extensions\sd-webui-deepcache-standalone\scripts\forward_timestep_embed_patch.py", line 43, in forward_timestep_embed x = layer(x) File "O:\AI\SynologyDrive\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "O:\AI\SynologyDrive\stable-diffusion-webui\extensions-builtin\Lora\networks.py", line 444, in network_Conv2d_forward return originals.Conv2d_forward(self, input) File "O:\AI\SynologyDrive\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\conv.py", line 463, in forward return self._conv_forward(input, self.weight, self.bias) File "O:\AI\SynologyDrive\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward return F.conv2d(input, weight, bias, self.stride, RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (torch.HalfTensor) should be the same