expected Tensor as element 0 in argument 0, but got NoneType

[weirdlighthouse]

Whenever I try to use SDXL, this problem occurs.

[vladmandic]

i'm sorry, but you've provided absolutely no info.

[Grzanka99]

For context cause I have same error: Whenever I switch backend to diffusers, I cannot generate any image, error visible in title of this discussion appears. I using docker version for lntel arc, idk how about other fellow

[Grzanka99]

2023-08-20T22:13:10.107Z | ERROR | sd | call_queue | Exception: expected Tensor as element 0 in argument 0, but got NoneType
-- | -- | -- | -- | --
2023-08-20T22:13:10.107Z | ERROR | sd | call_queue | Arguments: args=('task(o4z5pdu9mnqq8ce)', 'any test prompt', 'any test negative', [], 30, 6, None, True, False, False, 1, 4, 5, 6, 0.7, 1, -1.0, -1.0, 0, 0, 0, 768, 512, False, 0.3, 2, 'None', 20, 0, 0, 0.8, '', '', [], 0, False, 'MultiDiffusion', False, True, 1024, 1024, 96, 96, 48, 4, 'None', 2, False, 10, 1, 1, 64, False, False, False, False, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 3072, 192, True, True, True, False, False, 7, 100, 'Constant', 0, 'Constant', 0, 4, True, 'MEAN', 'AD', 1, , False, False, 'positive', 'comma', 0, False, False, '', 0, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False, None, None, False, 50) kwargs={}
2023-08-20T22:13:10.110Z | ERROR | sd | errors | gradio call: TypeError

[labelhigh]

*** Error completing request
*** Arguments: ('task(k23gpbp6861ve39)', 'dog', '', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', [], <gradio.routes.Request object at 0x0000018DD0EB29B0>, 0, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0) {}
Traceback (most recent call last):
File "C:\SD\stable-diffusion-webui\modules\call_queue.py", line 58, in f
res = list(func(*args, **kwargs))
File "C:\SD\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "C:\SD\stable-diffusion-webui\modules\txt2img.py", line 62, in txt2img
processed = processing.process_images(p)
File "C:\SD\stable-diffusion-webui\modules\processing.py", line 677, in process_images
res = process_images_inner(p)
File "C:\SD\stable-diffusion-webui\modules\processing.py", line 794, in process_images_inner
samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
File "C:\SD\stable-diffusion-webui\modules\processing.py", line 1054, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "C:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 417, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "C:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 291, in launch_sampling
return func()
File "C:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 417, in
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "C:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\SD\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 "C:\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:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 168, in forward
cond_in = torch.cat([tensor, uncond])
TypeError: expected Tensor as element 0 in argument 0, but got DictWithShape

---

Calculating sha256 for C:\SD\stable-diffusion-webui\models\Stable-diffusion\Good_model_v02.safetensors: 089cfdd8e44d507f38e3f46bf90b1350684de1144c184721bd4f64f1f3117fcc
Loading weights [089cfdd8e4] from C:\SD\stable-diffusion-webui\models\Stable-diffusion\Good_model_v02.safetensors
Creating model from config: C:\SD\stable-diffusion-webui\configs\v1-inference.yaml

[mutoe]

I resolved it by rollback sd-web-ui to 1.5.1 from 1.5.2

[vladmandic]

@labelhigh dumping logs without context does not help

[Grzanka99]

@weirdlighthouse hey, the solution that I came across was in docker repo directly. After switching all fields like in tutorial, try to restart server entirely
Nuullll/ipex-sd-docker-for-arc-gpu#19 (comment)