File "/home/(user)/stable-diffusion-webui-forge/modules_forge/main_thread.py", line 37, in loop
task.work()
File "/home/(user)/stable-diffusion-webui-forge/modules_forge/main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "/home/(user)/stable-diffusion-webui-forge/modules/txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "/home/(user)/stable-diffusion-webui-forge/modules/processing.py", line 752, in process_images
res = process_images_inner(p)
File "/home/(user)/stable-diffusion-webui-forge/modules/processing.py", line 922, 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/(user)/stable-diffusion-webui-forge/modules/processing.py", line 1275, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "/home/(user)/stable-diffusion-webui-forge/modules/sd_samplers_kdiffusion.py", line 251, 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 "/home/(user)/stable-diffusion-webui-forge/modules/sd_samplers_common.py", line 263, in launch_sampling
return func()
File "/home/(user)/stable-diffusion-webui-forge/modules/sd_samplers_kdiffusion.py", line 251, 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 "/home/(user)/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/(user)/stable-diffusion-webui-forge/repositories/k-diffusion/k_diffusion/sampling.py", line 145, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "/home/(user)/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _wrapped_call_impl
return self.call_impl(*args, **kwargs)
File "/home/(user)/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1536, in call_impl
return forward_call(*args, **kwargs)
File "/home/(user)/stable-diffusion-webui-forge/modules/sd_samplers_cfg_denoiser.py", line 182, in forward
denoised = forge_sampler.forge_sample(self, denoiser_params=denoiser_params,
File "/home/(user)/stable-diffusion-webui-forge/modules_forge/forge_sampler.py", line 88, in forge_sample
denoised = sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options, seed)
File "/home/(user)/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 289, in sampling_function
cond_pred, uncond_pred = calc_cond_uncond_batch(model, cond, uncond, x, timestep, model_options)
File "/home/(user)/stable-diffusion-webui-forge/ldm_patched/modules/samplers.py", line 258, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks)
File "/home/(user)/stable-diffusion-webui-forge/ldm_patched/modules/model_base.py", line 90, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "/home/(user)/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/(user)/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1536, in _call_impl
return forward_call(*args, **kwargs)
File "/home/(user)/stable-diffusion-webui-forge/extensions/sd-webui-deepcache-standalone/deepcache.py", line 133, in hijacked_unet_forward
h = forward_timestep_embed(module, h, emb, context)
File "/home/(user)/stable-diffusion-webui-forge/extensions/sd-webui-deepcache-standalone/scripts/forward_timestep_embed_patch.py", line 43, in forward_timestep_embed
x = layer(x)
File "/home/(user)/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/(user)/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1536, in _call_impl
return forward_call(*args, **kwargs)
TypeError: ResBlock.forward() missing 1 required positional argument: 'emb'
ResBlock.forward() missing 1 required positional argument: 'emb'
*** Error completing request