IndexError: list index out of range

[trapaaa99]

Hello! Today I encountered such an error using a regional prompter: IndexError: list index out of range
As soon as I turn it off - everything works, I turn it on - the same Index Rrror. It appeared suddenly, before that everything worked, I generated 1 image at the given prompt, then at the same prompt it began to give this error.
Model: Pony Diffusion XL
GPU: 4060 Laptop
Regional Prompter: Matrix, rows, 1,1

Yes, i reinstall the plugin, same didn't work.
Yes, i reinstall the stable diffusion, same didn't work.
I hope for timely help, thank you

Total mistake:
Traceback (most recent call last):
File "E:\STUFF\Stabble Diffusion\modules\call_queue.py", line 74, in f
res = list(func(*args, **kwargs))
File "E:\STUFF\Stabble Diffusion\modules\call_queue.py", line 53, in f
res = func(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\modules\txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "E:\STUFF\Stabble Diffusion\modules\processing.py", line 847, in process_images
res = process_images_inner(p)
File "E:\STUFF\Stabble Diffusion\modules\processing.py", line 988, 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:\STUFF\Stabble Diffusion\modules\processing.py", line 1346, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "E:\STUFF\Stabble Diffusion\modules\sd_samplers_kdiffusion.py", line 230, 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:\STUFF\Stabble Diffusion\modules\sd_samplers_common.py", line 272, in launch_sampling
return func()
File "E:\STUFF\Stabble Diffusion\modules\sd_samplers_kdiffusion.py", line 230, 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 "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\modules\sd_samplers_cfg_denoiser.py", line 268, in forward
x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict(c_crossattn, image_cond_in[a:b]))
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\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 "E:\STUFF\Stabble Diffusion\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\modules\sd_models_xl.py", line 43, in apply_model
return self.model(x, t, cond)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\modules\sd_hijack_utils.py", line 22, in
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
File "E:\STUFF\Stabble Diffusion\modules\sd_hijack_utils.py", line 34, in call
return self.__sub_func(self.__orig_func, *args, **kwargs)
File "E:\STUFF\Stabble Diffusion\modules\sd_hijack_unet.py", line 50, in apply_model
result = orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs)
File "E:\STUFF\Stabble Diffusion\repositories\generative-models\sgm\modules\diffusionmodules\wrappers.py", line 28, in forward
return self.diffusion_model(
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\modules\sd_unet.py", line 91, in UNetModel_forward
return original_forward(self, x, timesteps, context, *args, **kwargs)
File "E:\STUFF\Stabble Diffusion\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 993, in forward
h = module(h, emb, context)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 100, in forward
x = layer(x, context)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\repositories\generative-models\sgm\modules\attention.py", line 627, in forward
x = block(x, context=context[i])
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\repositories\generative-models\sgm\modules\attention.py", line 459, in forward
return checkpoint(
File "E:\STUFF\Stabble Diffusion\repositories\generative-models\sgm\modules\diffusionmodules\util.py", line 167, in checkpoint
return func(*inputs)
File "E:\STUFF\Stabble Diffusion\repositories\generative-models\sgm\modules\attention.py", line 478, in _forward
self.attn2(
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\STUFF\Stabble Diffusion\extensions\sd-webui-regional-prompter\scripts\attention.py", line 417, in forward
ox = matsepcalc(x, contexts, mask, self.pn, 1)
File "E:\STUFF\Stabble Diffusion\extensions\sd-webui-regional-prompter\scripts\attention.py", line 185, in matsepcalc
context = contexts[:,tll[i][0] * TOKENSCON:tll[i][1] * TOKENSCON,:]
IndexError: list index out of range

[LotusXue]

active Use common negative prompt

[trapaaa99]

active Use common negative prompt

I did so, the error really disappeared. But the results look a little strange, the background is blurry, deformed bodies, and the picture quality also leaves much to be desired (when generating in columns mode, this is not the case, the generation is quite normal). If you turn off the regional prompt, the images are very similar, and it's hard for me to know if it works at all.

Prompt I used:
score_9, score_8_up,score_7_up, source_anime, indoors, standing, cowboy shot, 2girls, seductive smile, from above, hoodie, jeans, looking at viewer, stand behind each other,

BREAK raiden shogun, white hoodie, standing behind, large woman, size difference, full body view,
BREAK yae miko, black hoodie, waving, standing at the bottom, small kid,

Options:

And the results were not very good:

I'm not sure if the regional prompter works in rows mode. If you have any suggestions on how to check this - let me know, and I will also be happy to listen to any of your ideas that can also help me solve my problem, since I have exhausted my ideas, thank you.