Closed Yui007 closed 3 months ago
In stable diffusion webui, Settings > BMAB
you can find setting for "ControlNet lineart model"
You can download that file from internet AND put the file into stable-diffusion-webui/extensions/sd-webui-controlnet/models AND restart webui and reload web.
i have lineart controlnet model already bro i use it everyday but it still gives me issues
Set BMAB ControlNet lineart model to YOUR CONTROLNET LINEART MODEL The model text should be same exactly.
example case, ControlNet lineart model is "control_v11p_sd15_lineart_fp16 [5c23b17d]" in BMAB Setting.
hi. i want to use the noise option in controlnet section but it is giving me errors like these :
Error running process: /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py Traceback (most recent call last): File "/kaggle/working/stable-diffusion-webui/modules/scripts.py", line 718, in process script.process(p, script_args) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 1143, in process self.controlnet_hack(p) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 1128, in controlnet_hack self.controlnet_main_entry(p) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 969, in controlnet_main_entry controls, hr_controls = list(zip([preprocess_input_image(img) for img in input_images])) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 969, in
controls, hr_controls = list(zip( [preprocess_input_image(img) for img in input_images]))
File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 936, in preprocess_input_image
detected_map, is_image = self.preprocessor[unit.module](
File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/utils.py", line 80, in decorated_func
return cached_func(*args, *kwargs)
File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/utils.py", line 64, in cached_func
return func(args, kwargs)
File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/global_state.py", line 37, in unified_preprocessor
return preprocessor_modules[preprocessor_name](*args, **kwargs)
File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/processor.py", line 418, in lineart_standard
img, remove_pad = resize_image_with_pad(img, res)
File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/processor.py", line 45, in resize_image_with_pad
img = cv2.resize(img, (W_target, H_target), interpolation=interpolation)
cv2.error: OpenCV(4.9.0) /io/opencv/modules/imgproc/src/resize.cpp:4155: error: (-215:Assertion failed) inv_scale_x > 0 in function 'resize'
Like THIS :
** Error running process: /kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py Traceback (most recent call last): File "/kaggle/working/stable-diffusion-webui/modules/scripts.py", line 718, in process script.process(p, script_args) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 1143, in process self.controlnet_hack(p) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 1128, in controlnet_hack self.controlnet_main_entry(p) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 894, in controlnet_main_entry model_net, control_model_type = Script.load_control_model(p, unet, unit.model) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 367, in load_control_model control_model = Script.build_control_model(p, unet, model) File "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet.py", line 385, in build_control_model raise RuntimeError(f"model not found: {model}") RuntimeError: model not found: None
Can you tell me how to fix this or how to use the noise option maybe i am doing something wrong?