sd-webui-controlnet
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Mikubill
Segmentation errors
When attempting to use the segmentation processor, I get an error.
Traceback (most recent call last): File "B:\AI Generation Stuff\stable-diffusion-webui\modules\call_queue.py", line 56, in f res = list(func(*args, **kwargs)) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\call_queue.py", line 37, in f res = func(*args, **kwargs) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\txt2img.py", line 56, in txt2img processed = process_images(p) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\processing.py", line 486, in process_images res = process_images_inner(p) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\processing.py", line 628, in process_images_inner samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\processing.py", line 828, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 323, in sample samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "B:\AI Generation Stuff\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 221, in launch_sampling return func() File "B:\AI Generation Stuff\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 323, in <lambda> samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "B:\AI Generation Stuff\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "B:\AI Generation Stuff\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral denoised = model(x, sigmas[i] * s_in, **extra_args) File "B:\AI Generation Stuff\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 116, in forward x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]}) File "B:\AI Generation Stuff\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "B:\AI Generation Stuff\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 "B:\AI Generation Stuff\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps return self.inner_model.apply_model(*args, **kwargs) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda> setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs)) File "B:\AI Generation Stuff\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__ return self.__orig_func(*args, **kwargs) File "B:\AI Generation Stuff\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 "B:\AI Generation Stuff\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "B:\AI Generation Stuff\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1329, in forward out = self.diffusion_model(x, t, context=cc) File "B:\AI Generation Stuff\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 161, in forward2 return forward(*args, **kwargs) File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\cldm.py", line 122, in forward if abs(x.shape[-1] - outer.hint_cond.shape[-1] // 8) > 8: AttributeError: 'NoneType' object has no attribute 'shape'
Some more:
Arguments: ('task(k0tvded5hleb1td)', 0, '', '', [], <PIL.Image.Image image mode=RGBA size=512x512 at 0x22FC1CBB130>, None, None, None, None, None, None, 20, 0, 8, 0, 0, False, False, 1, 1, 7, 1.5, 0.75, -1.0, -1.0, 0, 0, 0, False, 512, 512, 0, 0, 32, 0, '', '', '', [], 0, True, 'segmentation', 'control_sd15_seg [fef5e48e]', 1, {'image': array([[[221, 210, 226],
And last one:
Error running process: B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\controlnet.py Traceback (most recent call last): File "B:\AI Generation Stuff\stable-diffusion-webui\modules\scripts.py", line 386, in process script.process(p, *script_args) File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\controlnet.py", line 317, in process detected_map = preprocessor(input_image) File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\processor.py", line 136, in uniformer from annotator.uniformer import apply_uniformer File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\__init__.py", line 1, in <module> from annotator.uniformer.mmseg.apis import init_segmentor, inference_segmentor, show_result_pyplot File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\mmseg\apis\__init__.py", line 1, in <module> from .inference import inference_segmentor, init_segmentor, show_result_pyplot File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\mmseg\apis\inference.py", line 8, in <module> from annotator.uniformer.mmseg.models import build_segmentor File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\mmseg\models\__init__.py", line 4, in <module> from .decode_heads import * # noqa: F401,F403 File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\mmseg\models\decode_heads\__init__.py", line 4, in <module> from .cc_head import CCHead File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\mmseg\models\decode_heads\cc_head.py", line 7, in <module> from annotator.uniformer.mmcv.ops import CrissCrossAttention File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\mmcv\ops\__init__.py", line 2, in <module> from .assign_score_withk import assign_score_withk File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\mmcv\ops\assign_score_withk.py", line 5, in <module> ext_module = ext_loader.load_ext( File "B:\AI Generation Stuff\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\uniformer\mmcv\utils\ext_loader.py", line 13, in load_ext ext = importlib.import_module('mmcv.' + name) File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.2800.0_x64__qbz5n2kfra8p0\lib\importlib\__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) ImportError: DLL load failed while importing _ext: The specified procedure could not be found.
I read the readme, and installed both prettytables and the other. I updated my Automatic1111 and this extension to latest prior to posting this, and attempting a multitude of different things to fix this issue. Can anyone be of assistance?
