stable-diffusion-webui-amdgpu
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lshqqytiger
Ultimate SD upscale - Cannot set version_counter for inference tensor[Bug]:
Checklist
- [ ] The issue exists after disabling all extensions
- [ ] The issue exists on a clean installation of webui
- [ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
- [ ] The issue exists in the current version of the webui
- [ ] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet
What happened?
When trying to use Ultimate SD upscale 4x-UltraSharp DAT x2 DAT x3 DAT x4 R-ESRGAN 4x+ R-ESRGAN 4x+ Anime6B
it gives me this error "Cannot set version_counter for inference tensor" this started yesterday after the new update
Steps to reproduce the problem
Go to img2img and enable control net tile use the script Ultimate SD upscale choose any of these : -4x-UltraSharp -DAT x2 -DAT x3 -DAT x4 -R-ESRGAN 4x+ -R-ESRGAN 4x+ Anime6B
And Click generate
What should have happened?
It should generate and work properly
What browsers do you use to access the UI ?
No response
Sysinfo
Console logs
Canva size: 1024x1024
Image size: 512x512
Scale factor: 2
Upscaling iteration 1 with scale factor 2
tiled upscale: 0%| | 0/9 [00:00<?, ?it/s]
*** Error completing request
*** Arguments: ('task(3zt7ahxm5zvhsxg)', <gradio.routes.Request object at 0x000001697FF94E20>, 0, 'high quality, ', '', [], <PIL.Image.Image image mode=RGBA size=512x512 at 0x16981A57A00>, None, None, None, None, None, None, 4, 0, 1, 1, 1, 7, 1.5, 0.4, 0.0, 512, 512, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', 'upload', None, 10, False, 1, 0.5, 4, 0, 0.5, 2, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, {'ad_model': 'face_yolov8n.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, 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, 'DemoFusion', False, 128, 64, 4, 2, False, 10, 1, 1, 64, False, True, 3, 1, 1, True, 0.85, 0.6, 4, False, False, 512, 64, True, True, True, False, ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=True, module='tile_resample', model='control_v11f1e_sd15_tile [a371b31b]', weight=1.0, image={'image': array([[[18, 17, 22],
*** [ 9, 8, 14],
*** [ 5, 4, 9],
*** ...,
*** [ 5, 7, 11],
*** [ 6, 7, 12],
*** [ 7, 9, 13]],
***
*** [[13, 15, 19],
*** [ 3, 5, 8],
*** [ 1, 2, 5],
*** ...,
*** [ 1, 5, 8],
*** [ 0, 4, 7],
*** [ 5, 7, 12]],
***
*** [[15, 15, 20],
*** [ 2, 1, 6],
*** [ 3, 3, 7],
*** ...,
*** [ 2, 4, 8],
*** [ 1, 5, 8],
*** [ 3, 6, 11]],
***
*** ...,
***
*** [[20, 21, 27],
*** [ 6, 8, 15],
*** [ 5, 9, 15],
*** ...,
*** [17, 22, 29],
*** [16, 22, 28],
*** [19, 22, 31]],
***
*** [[18, 19, 26],
*** [ 7, 10, 16],
*** [ 3, 9, 12],
*** ...,
*** [16, 24, 28],
*** [16, 23, 28],
*** [20, 23, 31]],
***
*** [[22, 22, 29],
*** [11, 11, 19],
*** [ 8, 9, 16],
*** ...,
*** [21, 23, 31],
*** [22, 23, 32],
*** [23, 24, 31]]], dtype=uint8), 'mask': array([[[0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0],
*** ...,
*** [0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0]],
***
*** [[0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0],
*** ...,
*** [0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0]],
***
*** [[0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0],
*** ...,
*** [0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0]],
***
*** ...,
***
*** [[0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0],
*** ...,
*** [0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0]],
***
*** [[0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0],
*** ...,
*** [0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0]],
***
*** [[0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0],
*** ...,
*** [0, 0, 0],
*** [0, 0, 0],
*** [0, 0, 0]]], dtype=uint8)}, resize_mode=<ResizeMode.RESIZE: 'Just Resize'>, low_vram=True, processor_res=512, threshold_a=1.0, threshold_b=0.5, guidance_start=0.0, guidance_end=1.0, pixel_perfect=True, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.TILE: 'Tile'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), '* `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, 'start', '', '<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, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, 50, '<p style="margin-bottom:0.75em">Will upscale the image depending on the selected target size type</p>', 512, 0, 8, 32, 64, 0.35, 32, 3, True, 0, False, 8, 0, 2, 2048, 2048, 2) {}
Traceback (most recent call last):
File "D:\AI\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 74, in f
res = list(func(*args, **kwargs))
File "D:\AI\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 53, in f
res = func(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\modules\img2img.py", line 240, in img2img
processed = modules.scripts.scripts_img2img.run(p, *args)
File "D:\AI\stable-diffusion-webui-amdgpu\modules\scripts.py", line 780, in run
processed = script.run(p, *script_args)
File "D:\AI\stable-diffusion-webui-amdgpu\extensions\ultimate-upscale-for-automatic1111\scripts\ultimate-upscale.py", line 558, in run
upscaler.upscale()
File "D:\AI\stable-diffusion-webui-amdgpu\extensions\ultimate-upscale-for-automatic1111\scripts\ultimate-upscale.py", line 83, in upscale
self.image = self.upscaler.scaler.upscale(self.image, value, self.upscaler.data_path)
File "D:\AI\stable-diffusion-webui-amdgpu\modules\upscaler.py", line 68, in upscale
img = self.do_upscale(img, selected_model)
File "D:\AI\stable-diffusion-webui-amdgpu\modules\esrgan_model.py", line 36, in do_upscale
return esrgan_upscale(model, img)
File "D:\AI\stable-diffusion-webui-amdgpu\modules\esrgan_model.py", line 57, in esrgan_upscale
return upscale_with_model(
File "D:\AI\stable-diffusion-webui-amdgpu\modules\upscaler_utils.py", line 74, in upscale_with_model
output = upscale_pil_patch(model, tile)
File "D:\AI\stable-diffusion-webui-amdgpu\modules\upscaler_utils.py", line 48, in upscale_pil_patch
return torch_bgr_to_pil_image(model(tensor))
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\spandrel\__helpers\model_descriptor.py", line 472, in __call__
output = self._call_fn(self.model, image)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\spandrel\__helpers\model_descriptor.py", line 439, in <lambda>
self._call_fn = call_fn or (lambda model, image: model(image))
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\spandrel\architectures\ESRGAN\arch\RRDB.py", line 142, in forward
return self.model(x)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
input = module(input)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\stable-diffusion-webui-amdgpu\extensions-builtin\Lora\networks.py", line 599, in network_Conv2d_forward
return originals.Conv2d_forward(self, input)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\conv.py", line 460, in forward
return self._conv_forward(input, self.weight, self.bias)
File "D:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\conv.py", line 456, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
File "D:\AI\stable-diffusion-webui-amdgpu\modules\dml\amp\autocast_mode.py", line 43, in <lambda>
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: forward(op, args, kwargs))
File "D:\AI\stable-diffusion-webui-amdgpu\modules\dml\amp\autocast_mode.py", line 15, in forward
return op(*args, **kwargs)
RuntimeError: Cannot set version_counter for inference tensor
Additional information
I updated my stable diffusion yesterday's update
