好像是pytorch的问题？小白不懂

d

尺寸设为8的倍数试试

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Error completing request
Arguments: ('task(j5vk0w6nixdpy2b)', 0, 'best quality,skycraper, <lora:SpiderManIntoTheSpiderverse:0.6>', '', [], <网页链接 image mode=RGBA size=4096x1719 at 0x21694E8F8E0>, None, None, None, None, None, None, 20, 0, 4, 0, 1, False, False, 1, 1, 7, 1.5, 0.75, -1.0, -1.0, 0, 0, 0, False, 120, 120, 0, 0, 32, 0, '', '', '', [], 0, <网页链接 object at 0x000002166DECF2B0>, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 1, 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p >', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p >', 64, 0, 2, 1, '', 0, '', 0, '', True, False, False, False, 0, None, False, 50) {}
Traceback (most recent call last):
File "E:\stable diffusion\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "E:\stable diffusion\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "E:\stable diffusion\stable-diffusion-webui\modules\img2img.py", line 171, in img2img
processed = process_images(p)
File "E:\stable diffusion\stable-diffusion-webui\modules\processing.py", line 486, in process_images
res = process_images_inner(p)
File "E:\stable diffusion\stable-diffusion-webui\modules\processing.py", line 632, 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 "E:\stable diffusion\stable-diffusion-webui\modules\processing.py", line 1048, in sample
samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
File "E:\stable diffusion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 322, in sample_img2img
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "E:\stable diffusion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 225, in launch_sampling
return func()
File "E:\stable diffusion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 322, in <lambda>
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "E:\stable diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "E:\stable diffusion\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 "E:\stable diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "E:\stable diffusion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 117, in forward
x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]})
File "E:\stable diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "E:\stable diffusion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 167, in

看着像这个kdiffusion里面啥玩意儿数据不完整，如果你连得上GitHub的话可以试试把kdiffusion删了让webui自动重新下载一遍