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Xích thốn thiết vi 8 đích bội sổ thí thí

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Arguments: ('task(j5vk0w6nixdpy2b)', 0, 'best quality,skycraper, <lora:SpiderManIntoTheSpiderverse:0.6>', '', [], <Võng hiệt liên tiếpimage 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, <Võng hiệt liên tiếpobject 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

Khán trứ tượng giá cá kdiffusion lí diện xá ngoạn ý nhi sổ cư bất hoàn chỉnh, như quả nhĩ liên đắc thượng GitHub đích thoại khả dĩ thí thí bả kdiffusion san liễu nhượng webui tự động trọng tân hạ tái nhất biến