RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 1280 but got size 2048 for tensor number 1 in the list.

[DarkAlchy]

RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 1280 but got size 2048 for tensor number 1 in the list. Only happens when your extension is enabled.

[dhwz]

Your base checkpoint is SDXL?

[DarkAlchy]

Yes, of course.

[dhwz]

Any Loras in your prompt?

[DarkAlchy]

None.

[wcde]

You probably have another error before this one. Tensor size 2048 means that extension code was interrupted and generation continued with Base conditioning.

[DarkAlchy]

Traceback (most recent call last):
  File "F:\stable-diffusion-webui-new\modules\call_queue.py", line 58, in f
    res = list(func(*args, **kwargs))
  File "F:\stable-diffusion-webui-new\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "F:\stable-diffusion-webui-new\modules\txt2img.py", line 62, in txt2img
    processed = processing.process_images(p)
  File "F:\stable-diffusion-webui-new\modules\processing.py", line 677, in process_images
    res = process_images_inner(p)
  File "F:\stable-diffusion-webui-new\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 "F:\stable-diffusion-webui-new\modules\processing.py", line 1054, in sample
    samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
  File "F:\stable-diffusion-webui-new\modules\sd_samplers_kdiffusion.py", line 464, in sample
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "F:\stable-diffusion-webui-new\modules\sd_samplers_kdiffusion.py", line 303, in launch_sampling
    return func()
  File "F:\stable-diffusion-webui-new\modules\sd_samplers_kdiffusion.py", line 464, in <lambda>
    samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
  File "F:\stable-diffusion-webui-new\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\stable-diffusion-webui-new\repositories\k-diffusion\k_diffusion\sampling.py", line 573, in sample_dpmpp_sde
    denoised_2 = model(x_2, sigma_fn(s) * s_in, **extra_args)
  File "F:\stable-diffusion-webui-new\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\stable-diffusion-webui-new\modules\sd_samplers_kdiffusion.py", line 168, in forward
    tensor = pad_cond(tensor, -num_repeats, empty)
  File "F:\stable-diffusion-webui-new\modules\sd_samplers_kdiffusion.py", line 74, in pad_cond
    tensor['crossattn'] = pad_cond(tensor['crossattn'], repeats, empty)
  File "F:\stable-diffusion-webui-new\modules\sd_samplers_kdiffusion.py", line 72, in pad_cond
    return torch.cat([tensor, empty.repeat((tensor.shape[0], repeats, 1))], axis=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 1280 but got size 2048 for tensor number 1 in the list.