Reusing loaded model deliberate_v3.safetensors [aadddd3d75] to load v1-5-pruned-emaonly.safetensors [6ce0161689]
Loading weights [6ce0161689] from /home/dez/Files/AI/A1111/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
Applying attention optimization: xformers... done.
Weights loaded in 65.6s (send model to cpu: 2.0s, load weights from disk: 3.2s, apply weights to model: 58.2s, move model to device: 2.3s).
Loading midas model weights ..
Model loaded, number of parameters = 345M
*** Error completing request
*** Arguments: ('task(t7fg4coi86nazbh)', 0, 'citchen', '', [], <PIL.Image.Image image mode=RGBA size=512x512 at 0x7FE6EAABEE10>, None, None, None, None, None, None, 20, 'DDIM', 4, 0, 1, 1, 1, 7, 1.5, 0.75, 0, 512, 512, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x7fe6eaa978d0>, 9, False, '', 0.8, -1, False, -1, 0, 0, 0, '* `CFG Scale` should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', '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, False, False, 0, True, 512, 512, False, 0, True, True, False, False) {}
    Traceback (most recent call last):
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/modules/call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
                   ^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/modules/call_queue.py", line 36, in f
        res = func(*args, **kwargs)
              ^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/modules/img2img.py", line 206, in img2img
        processed = modules.scripts.scripts_img2img.run(p, *args)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/modules/scripts.py", line 601, in run
        processed = script.run(p, *script_args)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/extensions/depthmap2mask/scripts/depth2image_depthmask.py", line 97, in run
        d_m = sdmg.calculate_depth_maps(p.init_images[0],img_x,img_y,model_type,invert_depth)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/extensions/depthmap2mask/scripts/depthmap_for_depth2img.py", line 306, in calculate_depth_maps
        prediction = model.forward(sample)
                     ^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/repositories/midas/midas/dpt_depth.py", line 166, in forward
        return super().forward(x).squeeze(dim=1)
               ^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/repositories/midas/midas/dpt_depth.py", line 114, in forward
        layers = self.forward_transformer(self.pretrained, x)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/repositories/midas/midas/backbones/beit.py", line 15, in forward_beit
        return forward_adapted_unflatten(pretrained, x, "forward_features")
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/repositories/midas/midas/backbones/utils.py", line 86, in forward_adapted_unflatten
        exec(f"glob = pretrained.model.{function_name}(x)")
      File "<string>", line 1, in <module>
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/repositories/midas/midas/backbones/beit.py", line 125, in beit_forward_features
        x = blk(x, resolution, shared_rel_pos_bias=rel_pos_bias)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
        return forward_call(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/repositories/midas/midas/backbones/beit.py", line 102, in block_forward
        x = x + self.drop_path(self.gamma_1 * self.attn(self.norm1(x), resolution,
                ^^^^^^^^^^^^^^
      File "/home/dez/Files/AI/A1111/stable-diffusion-webui/venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1614, in __getattr__
        raise AttributeError("'{}' object has no attribute '{}'".format(
    AttributeError: 'Block' object has no attribute 'drop_path'