Traceback (most recent call last):
File "E:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "E:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "E:\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "E:\stable-diffusion-webui-forge\modules\processing.py", line 749, in process_images
res = process_images_inner(p)
File "E:\stable-diffusion-webui-forge\modules\processing.py", line 920, 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 "E:\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 "E:\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 "E:\stable-diffusion-webui-forge\modules\sd_samplers_common.py", line 263, in launch_sampling
return func()
File "E:\stable-diffusion-webui-forge\modules\sd_samplers_kdiffusion.py", line 251, in <lambda>
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 "E:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\stable-diffusion-webui-forge\repositories\k-diffusion\k_diffusion\sampling.py", line 553, in sample_dpmpp_sde
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "E:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\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 "E:\stable-diffusion-webui-forge\modules_forge\forge_sampler.py", line 82, in forge_sample
denoised = sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options, seed)
File "E:\stable-diffusion-webui-forge\ldm_patched\modules\samplers.py", line 290, in sampling_function
cfg_result = x - model_options["sampler_cfg_function"](args)
File "E:\stable-diffusion-webui-forge\extensions-builtin\sd_forge_latent_modifier\lib_latent_modifier\sampler_mega_modifier.py", line 1015, in modify_latent
noise_pred_degraded = (cond - uncond) if dyn_cfg_augmentation == "None" else dyn_cfg_modifier(cond, uncond, dyn_cfg_augmentation, cond_scale, time_mult) # New noise pred
File "E:\stable-diffusion-webui-forge\extensions-builtin\sd_forge_latent_modifier\lib_latent_modifier\sampler_mega_modifier.py", line 833, in dyn_cfg_modifier
time = time_mult.item()
RuntimeError: a Tensor with 2 elements cannot be converted to Scalar
a Tensor with 2 elements cannot be converted to Scalar
Checklist
What happened?
Steps to reproduce the problem
What should have happened?
Image should be generated or proper warning in place
What browsers do you use to access the UI ?
Mozilla Firefox, Google Chrome
Sysinfo
Console logs