--medvram --always-batch-cond-uncond --precision full --no-half --no-half-vae --upcast-sampling --opt-sub-quad-attention --opt-split-attention --opt-split-attention-v1 --disable-nan-check --sub-quad-q-chunk-size 512 --sub-quad-kv-chunk-size 512 --sub-quad-chunk-threshold 80 --disable-nan-check --upcast-sampling --use-cpu interrogate gfpgan scunet codeformer

Already up to date.
venv "C:\Users\1\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: 1.5.2
Commit hash: 9fcdca36ae9e4f5b17d5222e990e335827a707ea


Launching Web UI with arguments: --medvram --always-batch-cond-uncond --precision full --no-half --no-half-vae --upcast-sampling --opt-sub-quad-attention --opt-split-attention --opt-split-attention-v1 --disable-nan-check --sub-quad-q-chunk-size 512 --sub-quad-kv-chunk-size 512 --sub-quad-chunk-threshold 80 --disable-nan-check --upcast-sampling --use-cpu interrogate gfpgan scunet codeformer
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
2023-08-27 22:18:10,026 - ControlNet - INFO - ControlNet v1.1.312
ControlNet preprocessor location: C:\Users\1\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\annotator\downloads
2023-08-27 22:18:10,299 - ControlNet - INFO - ControlNet v1.1.312
Loading weights [7f96a1a9ca] from C:\Users\1\stable-diffusion-webui-directml\models\Stable-diffusion\AnythingV5_v5PrtRE.safetensors
Creating model from config: C:\Users\1\stable-diffusion-webui-directml\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 29.4s (launcher: 9.0s, import torch: 6.4s, import gradio: 2.7s, setup paths: 1.3s, other imports: 3.1s, list SD models: 0.3s, load scripts: 4.1s, create ui: 1.8s, gradio launch: 0.6s).
DiffusionWrapper has 859.52 M params.
Applying attention optimization: Doggettx... done.
Model loaded in 7.9s (load weights from disk: 2.3s, create model: 2.5s, apply weights to model: 2.2s, calculate empty prompt: 0.9s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:32<00:00,  1.61s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:27<00:00,  1.37s/it]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [01:04<00:00,  3.20s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [01:00<00:00,  3.05s/it]
Composable LoRA load successful.███████████████████████████████████████████████████████| 20/20 [01:00<00:00,  3.03s/it]
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*** Error completing request
*** Arguments: █████████████████████████████████████████████████████████████████████████████████, '(worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2)', [], 20, 0, False, False, 1, 1, 7, 2097739035.0, -1.0, 0, 0, 0, False, 480, 720, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', ['Clip skip: 2'], <gradio.routes.Request object at 0x000001C56C54BC40>, 0, False, '', <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x000001C56C538E80>, True, False, True, False, False, False, False, False, False, True, '1:1,1:2,1:2', '0:0,0:0,0:1', '0.2,0.8,0.8', 20, 0.2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, 50) {}
    Traceback (most recent call last):
      File "C:\Users\1\stable-diffusion-webui-directml\modules\call_queue.py", line 58, in f
        res = list(func(*args, **kwargs))
      File "C:\Users\1\stable-diffusion-webui-directml\modules\call_queue.py", line 37, in f
        res = func(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\modules\txt2img.py", line 69, in txt2img
        processed = processing.process_images(p)
      File "C:\Users\1\stable-diffusion-webui-directml\modules\processing.py", line 680, in process_images
        res = process_images_inner(p)
      File "C:\Users\1\stable-diffusion-webui-directml\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\1\stable-diffusion-webui-directml\modules\processing.py", line 797, 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:\Users\1\stable-diffusion-webui-directml\modules\processing.py", line 1057, in sample
        samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
      File "C:\Users\1\stable-diffusion-webui-directml\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 "C:\Users\1\stable-diffusion-webui-directml\modules\sd_samplers_kdiffusion.py", line 303, in launch_sampling
        return func()
      File "C:\Users\1\stable-diffusion-webui-directml\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 "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
        return func(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
        denoised = model(x, sigmas[i] * s_in, **extra_args)
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\modules\sd_samplers_kdiffusion.py", line 183, in forward
        x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in))
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
        eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
        return self.inner_model.apply_model(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\modules\sd_hijack_utils.py", line 17, in <lambda>
        setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
      File "C:\Users\1\stable-diffusion-webui-directml\modules\sd_hijack_utils.py", line 28, in __call__
        return self.__orig_func(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
        x_recon = self.model(x_noisy, t, **cond)
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1538, in _call_impl
        result = forward_call(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
        out = self.diffusion_model(x, t, context=cc)
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\modules\sd_unet.py", line 91, in UNetModel_forward
        return ldm.modules.diffusionmodules.openaimodel.copy_of_UNetModel_forward_for_webui(self, x, timesteps, context, *args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward
        h = module(h, emb, context)
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 84, in forward
        x = layer(x, context)
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 329, in forward
        x = self.proj_in(x)
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\extensions\stable-diffusion-webui-composable-lora\composable_lora.py", line 510, in lora_Conv2d_forward
        res = lora_forward(self, input, res)
      File "C:\Users\1\stable-diffusion-webui-directml\extensions\stable-diffusion-webui-composable-lora\composable_lora.py", line 77, in lora_forward
        patch = composable_lycoris.get_lora_patch(module, input, res, lora_layer_name)
      File "C:\Users\1\stable-diffusion-webui-directml\extensions\stable-diffusion-webui-composable-lora\composable_lycoris.py", line 114, in get_lora_patch
        return get_lora_inference(converted_module, input)
      File "C:\Users\1\stable-diffusion-webui-directml\extensions\stable-diffusion-webui-composable-lora\composable_lycoris.py", line 78, in get_lora_inference
        return module.inference(input)
      File "C:\Users\1\stable-diffusion-webui-directml\extensions\stable-diffusion-webui-composable-lora\composable_lycoris.py", line 237, in inference
        return self.up_model(self.down_model(x))
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
      File "C:\Users\1\stable-diffusion-webui-directml\extensions\stable-diffusion-webui-composable-lora\composable_lora.py", line 509, in lora_Conv2d_forward
        res = torch.nn.Conv2d_forward_before_lora(self, input)
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\conv.py", line 463, in forward
        return self._conv_forward(input, self.weight, self.bias)
      File "C:\Users\1\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward
        return F.conv2d(input, weight, bias, self.stride,
      File "C:\Users\1\stable-diffusion-webui-directml\modules\dml\amp\autocast_mode.py", line 39, in <lambda>
        setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: forward(op, args, kwargs))
      File "C:\Users\1\stable-diffusion-webui-directml\modules\dml\amp\autocast_mode.py", line 13, in forward
        return op(*args, **kwargs)
    RuntimeError: tensor.device().type() == at::DeviceType::PrivateUse1 INTERNAL ASSERT FAILED at "D:\\a\\_work\\1\\s\\pytorch-directml-plugin\\torch_directml\\csrc\\dml\\DMLTensor.cpp":31, please report a bug to PyTorch. unbox expects Dml at::Tensor as inputs

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