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hako-mikan / sd-webui-regional-prompter

set prompt to divided region
GNU Affero General Public License v3.0
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IndexError: list index out of range #346

Closed trapaaa99 closed 3 weeks ago

trapaaa99 commented 3 weeks ago

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. I hope for timely help, thank you

image

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

trapaaa99 commented 3 weeks ago

Reinstalling stable diffusion didn't help either.