[Bug]: RuntimeError: Please register a generator to the PrivateUse1 dispatch key, using the REGISTER_GENERATOR_PRIVATEUSE1 macro.
rodrigoandrigo opened this issue · comments
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?
txt2image is not working in any way
Steps to reproduce the problem
Launching Web UI with arguments: --always-gpu --directml --skip-torch-cuda-test --gradio-allowed-path C:\Users\1\StabilityMatrix\Data\Images
What should have happened?
should generate the image
What browsers do you use to access the UI ?
Google Chrome
Sysinfo
Windows 11
RX 6600M
R5 5500
Console logs
Traceback (most recent call last):
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\processing.py", line 741, in process_images
sd_models.reload_model_weights()
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\sd_models.py", line 628, in reload_model_weights
return load_model(info)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\sd_models.py", line 614, in load_model
sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\sd_models.py", line 536, in get_empty_cond
d = sd_model.get_learned_conditioning([""])
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\sd_models_xl.py", line 37, in get_learned_conditioning
c = self.conditioner(sdxl_conds, force_zero_embeddings=['txt'] if force_zero_negative_prompt else [])
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\repositories\generative-models\sgm\modules\encoders\modules.py", line 168, in forward
output[out_key] = torch.cat(
RuntimeError: tensor.device().type() == at::DeviceType::PrivateUse1 INTERNAL ASSERT FAILED at "C:\\__w\\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
tensor.device().type() == at::DeviceType::PrivateUse1 INTERNAL ASSERT FAILED at "C:\\__w\\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
*** Error completing request
*** Arguments: ('task(6uzu48goupxp1zj)', <gradio.routes.Request object at 0x000002A1EAC93970>, 'sky', '', [], 20, 'DPM++ 2M Karras', 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, False, '', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0, 'anisotropic', 0, 'reinhard', 100, 0, 'subtract', 0, 0, 'gaussian', 'add', 0, 100, 127, 0, 'hard_clamp', 5, 0, 'None', 'None', False, 'MultiDiffusion', 768, 768, 64, 4, False, False, False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
TypeError: 'NoneType' object is not iterable
---
Traceback (most recent call last):
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\processing.py", line 752, in process_images
res = process_images_inner(p)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\processing.py", line 848, in process_images_inner
p.rng = rng.ImageRNG((opt_C, p.height // opt_f, p.width // opt_f), p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w)
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\rng.py", line 114, in __init__
self.generators = [create_generator(seed) for seed in seeds]
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\rng.py", line 114, in <listcomp>
self.generators = [create_generator(seed) for seed in seeds]
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\rng.py", line 86, in create_generator
generator = torch.Generator(device).manual_seed(int(seed))
RuntimeError: Please register a generator to the PrivateUse1 dispatch key, using the REGISTER_GENERATOR_PRIVATEUSE1 macro.
Please register a generator to the PrivateUse1 dispatch key, using the REGISTER_GENERATOR_PRIVATEUSE1 macro.
*** Error completing request
*** Arguments: ('task(oplgumwajod6qpt)', <gradio.routes.Request object at 0x000002A1EB1374F0>, 'sky', '', [], 20, 'Euler', 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, True, 'artUniverse_sdxlV20.safetensors [716a6de0f8]', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0, 'anisotropic', 0, 'reinhard', 100, 0, 'subtract', 0, 0, 'gaussian', 'add', 0, 100, 127, 0, 'hard_clamp', 5, 0, 'None', 'None', False, 'MultiDiffusion', 768, 768, 64, 4, False, False, False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "C:\Users\1\StabilityMatrix\Data\Packages\stable-diffusion-webui-forge\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
TypeError: 'NoneType' object is not iterable
Additional information
No response