An exception occurred while trying to process the frame: unsupported operand type(s) for +: 'int' and 'NoneType'
Traceback (most recent call last):
File "C:\Users\SD\stable-diffusion-webui\extensions\SD-CN-Animation\scripts\base_ui.py", line 146, in process
yield from txt2vid.start_process(args)
File "C:\Users\SD\stable-diffusion-webui\extensions\SD-CN-Animation\scripts\core\txt2vid.py", line 121, in start_process
processedframes, , , = utils.txt2img(args_dict)
File "C:\Users\SD\stable-diffusion-webui\extensions\SD-CN-Animation\scripts\core\utils.py", line 380, in txt2img
processed = process_images(p)
File "C:\Users\SD\stable-diffusion-webui\modules\processing.py", line 673, in process_images
res = process_images_inner(p)
File "C:\Users\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack
return getattr(processing, '__controlnet_original_process_images_inner')(p, args, kwargs)
File "C:\Users\SD\stable-diffusion-webui\modules\processing.py", line 795, in process_images_inner
x_samples_ddim = decode_latent_batch(p.sd_model, samples_ddim, target_device=devices.cpu, check_for_nans=True)
File "C:\Users\SD\stable-diffusion-webui\modules\processing.py", line 545, in decode_latent_batch
sample = decode_first_stage(model, batch[i:i + 1])[0]
File "C:\Users\SD\stable-diffusion-webui\modules\processing.py", line 576, in decode_first_stage
x = model.decode_first_stage(x.to(devices.dtype_vae))
File "C:\Users\SD\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in
setattr(resolved_obj, func_path[-1], lambda *args, *kwargs: self(args, kwargs))
File "C:\Users\SD\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in call
return self.__orig_func(*args, kwargs)
File "C:\Users\SD\stable-diffusion-webui\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, *kwargs)
File "C:\Users\SD\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 826, in decode_first_stage
return self.first_stage_model.decode(z)
File "C:\Users\SD\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\autoencoder.py", line 90, in decode
dec = self.decoder(z)
File "C:\Users\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
File "C:\Users\SD\stable-diffusion-webui\extensions\multidiffusion-upscaler-for-automatic1111\scripts\vae_optimize.py", line 377, in call
if max(H, W) <= self.pad * 2 + self.tile_size:
TypeError: unsupported operand type(s) for +: 'int' and 'NoneType'
vid2vid - ok txt2vid - this error
An exception occurred while trying to process the frame: unsupported operand type(s) for +: 'int' and 'NoneType' Traceback (most recent call last): File "C:\Users\SD\stable-diffusion-webui\extensions\SD-CN-Animation\scripts\base_ui.py", line 146, in process yield from txt2vid.start_process(args) File "C:\Users\SD\stable-diffusion-webui\extensions\SD-CN-Animation\scripts\core\txt2vid.py", line 121, in start_process processedframes, , , = utils.txt2img(args_dict) File "C:\Users\SD\stable-diffusion-webui\extensions\SD-CN-Animation\scripts\core\utils.py", line 380, in txt2img processed = process_images(p) File "C:\Users\SD\stable-diffusion-webui\modules\processing.py", line 673, in process_images res = process_images_inner(p) File "C:\Users\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack return getattr(processing, '__controlnet_original_process_images_inner')(p, args, kwargs) File "C:\Users\SD\stable-diffusion-webui\modules\processing.py", line 795, in process_images_inner x_samples_ddim = decode_latent_batch(p.sd_model, samples_ddim, target_device=devices.cpu, check_for_nans=True) File "C:\Users\SD\stable-diffusion-webui\modules\processing.py", line 545, in decode_latent_batch sample = decode_first_stage(model, batch[i:i + 1])[0] File "C:\Users\SD\stable-diffusion-webui\modules\processing.py", line 576, in decode_first_stage x = model.decode_first_stage(x.to(devices.dtype_vae)) File "C:\Users\SD\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in
setattr(resolved_obj, func_path[-1], lambda *args, *kwargs: self(args, kwargs))
File "C:\Users\SD\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in call
return self.__orig_func(*args, kwargs)
File "C:\Users\SD\stable-diffusion-webui\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, *kwargs)
File "C:\Users\SD\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 826, in decode_first_stage
return self.first_stage_model.decode(z)
File "C:\Users\SD\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\autoencoder.py", line 90, in decode
dec = self.decoder(z)
File "C:\Users\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
File "C:\Users\SD\stable-diffusion-webui\extensions\multidiffusion-upscaler-for-automatic1111\scripts\vae_optimize.py", line 377, in call
if max(H, W) <= self.pad * 2 + self.tile_size:
TypeError: unsupported operand type(s) for +: 'int' and 'NoneType'