# Device Type Error With Diffusers Pipeline TAT **URL:** \ **Category:** Beginners\ **Created:** [June 5, 2023, 6:35pm UTC](https://discuss.huggingface.co/t/device-type-error-with-diffusers-pipeline-tat/42160 "2023-06-05T18:35:28Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Alexair](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/alexair/32/16578_2.png) [@Alexair](https://discuss.huggingface.co/u/Alexair)\ **Post date:** [June 5, 2023, 6:35pm UTC](https://discuss.huggingface.co/t/device-type-error-with-diffusers-pipeline-tat/42160/1 "2023-06-05T18:35:28Z")
Hi, I’m new here and have a problem that I encountered while studying a hugging face related [blog](https://huggingface.co/blog/stable_diffusion) ## Environment - WIN 10 (remote ssh) - diffusers version: 0.10.2 - Platform: Windows-10-10.0.19042-SP0 - Python version: 3.8.16 - PyTorch version (GPU?): 1.8.1 (True) - Huggingface\_hub version: 0.15.1 - Transformers version: 4.29.2 - Using GPU in script?: \ - Using distributed or parallel set-up in script?: \ ## Error Reproduce First I downloaded the pre-trained model needed for the blog separately, instead of referring to the blog exactly, because it is large and difficult to download I only downloaded the \*.bin (pytorch version) for every module of stable-diffusion-v1-4 with LFS ![2023-06-06 023043](https://us1.discourse-cdn.com/hellohellohello/original/3X/d/f/df728fb55800d442261709b9e915b2b229c4eedf.jpeg) Then I followed the blog and executed the following code ```auto from diffusers import StableDiffusionPipeline pipe = StableDiffusionPipeline.from_pretrained("./stable-diffusion-v1-4") pipe.to("cuda") prompt = "a photograph of an astronaut riding a horse" image = pipe(prompt).images[0] image.save(f"astronaut_rides_horse.png") ``` ### Error Info ```auto --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) Cell In[1], line 9 5 pipe.to("cuda") 7 prompt = "a photograph of an astronaut riding a horse" ----> 9 image = pipe(prompt).images[0] 10 image.save(f"astronaut_rides_horse.png") File h:\miniconda\conda\envs\deepke\lib\site-packages\torch\autograd\grad_mode.py:27, in _DecoratorContextManager. __call__..decorate_context(*args, **kwargs) 24 @functools.wraps(func) 25 def decorate_context(*args, **kwargs): 26 with self. __class__ (): ---> 27 return func(*args, **kwargs) File h:\miniconda\conda\envs\deepke\lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.py:477, in StableDiffusionPipeline. __call__ (self, prompt, height, width, num_inference_steps, guidance_scale, negative_prompt, num_images_per_prompt, eta, generator, latents, output_type, return_dict, callback, callback_steps) 475 # 2. Define call parameters 476 batch_size = 1 if isinstance(prompt, str) else len(prompt) --> 477 device = self._execution_device 478 # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2) 479 # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1` 480 # corresponds to doing no classifier free guidance. 481 do_classifier_free_guidance = guidance_scale > 1.0 File h:\miniconda\conda\envs\deepke\lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.py:213, in StableDiffusionPipeline._execution_device(self) 206 @property ... --> 213 if self.device != torch.device("meta") or not hasattr(self.unet, "_hf_hook"): 214 return self.device 215 for module in self.unet.modules(): RuntimeError: Expected one of cpu, cuda, xpu, mkldnn, opengl, opencl, ideep, hip, msnpu, xla, vulkan device type at start of device string: meta ``` I tried my best to search for related issues but didn’t find anything that matched my situation I would appreciate it if you could help me ---
**Author:** ![iamzainsahahbaz](https://avatars.discourse-cdn.com/v4/letter/i/d2c977/32.png) [@iamzainsahahbaz](https://discuss.huggingface.co/u/iamzainsahahbaz)\ **Post date:** [July 24, 2023, 10:59pm UTC](https://discuss.huggingface.co/t/device-type-error-with-diffusers-pipeline-tat/42160/2 "2023-07-24T22:59:56Z")
same here, have you found the solution yet? ---
**Author:** ![snare2000](https://avatars.discourse-cdn.com/v4/letter/s/a8b319/32.png) [@snare2000](https://discuss.huggingface.co/u/snare2000)\ **Post date:** [August 19, 2023, 6:00am UTC](https://discuss.huggingface.co/t/device-type-error-with-diffusers-pipeline-tat/42160/3 "2023-08-19T06:00:47Z")
I ran into the same error as well, turned out the version of pytorch that I was using was 1.8 which upon upgrading to the latest 2.0 resolved the error.