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Description
fastsdcpu Version
Bug Description
I set export DEVICE=mps and star the application, but it gives the following error:
warnings.warn(
FastSD CPU - v1.0.0 beta 281
Running on Darwin platform
OS: macOS-14.8.3-arm64-arm-64bit
Processor: arm
Using device : mps
Output path : /Users/s4m13337/Developer/fastsdcpu/results
Found 6 LCM models in config/lcm-models.txt
Found 7 stable diffusion models in config/stable-diffusion-models.txt
Found 4 LCM-LoRA models in config/lcm-lora-models.txt
Found 10 OpenVINO LCM models in config/openvino-lcm-models.txt
/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_5m_224 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_5m_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
return register_model(fn_wrapper)
/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_11m_224 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_11m_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
return register_model(fn_wrapper)
/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_21m_224 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_21m_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
return register_model(fn_wrapper)
/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_21m_384 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_21m_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
return register_model(fn_wrapper)
/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/controlnet_aux/segment_anything/modeling/tiny_vit_sam.py:654: UserWarning: Overwriting tiny_vit_21m_512 in registry with controlnet_aux.segment_anything.modeling.tiny_vit_sam.tiny_vit_21m_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
return register_model(fn_wrapper)
Starting web UI mode
Traceback (most recent call last):
File "/Users/s4m13337/Developer/fastsdcpu/src/app.py", line 317, in <module>
start_webui(
File "/Users/s4m13337/Developer/fastsdcpu/src/frontend/webui/ui.py", line 103, in start_webui
webui = get_web_ui()
^^^^^^^^^^^^
File "/Users/s4m13337/Developer/fastsdcpu/src/frontend/webui/ui.py", line 58, in get_web_ui
f"**Processor : {get_device_name()}**",
^^^^^^^^^^^^^^^^^
File "/Users/s4m13337/Developer/fastsdcpu/src/backend/device.py", line 18, in get_device_name
default_gpu_index = torch.cuda.current_device()
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/torch/cuda/__init__.py", line 1071, in current_device
_lazy_init()
File "/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/torch/cuda/__init__.py", line 403, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/torch/onnx/_internal/registration.py:162: OnnxExporterWarning: Symbolic function 'aten::scaled_dot_product_attention' already registered for opset 14. Replacing the existing function with new function. This is unexpected. Please report it on https://github.com/pytorch/pytorch/issues.
warnings.warn(
/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/openvino/runtime/__init__.py:10: DeprecationWarning: The `openvino.runtime` module is deprecated and will be removed in the 2026.0 release. Please replace `openvino.runtime` with `openvino`.
warnings.warn(
I traced the error to the file that was causing this and hardcoded device as mps but then got this error:
Error in generating images: Placeholder storage has not been allocated on MPS device!
Traceback (most recent call last):
File "/Users/s4m13337/Developer/fastsdcpu/src/context.py", line 62, in generate_text_to_image
images = self.lcm_text_to_image.generate(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/s4m13337/Developer/fastsdcpu/src/backend/lcm_text_to_image.py", line 607, in generate
result_images = self.pipeline(
^^^^^^^^^^^^^^
File "/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 998, in __call__
latents = self.prepare_latents(
^^^^^^^^^^^^^^^^^^^^^
File "/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 708, in prepare_latents
latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/s4m13337/Developer/fastsdcpu/env/lib/python3.11/site-packages/diffusers/utils/torch_utils.py", line 81, in randn_tensor
latents = torch.randn(shape, generator=generator, device=rand_device, dtype=dtype, layout=layout).to(device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Placeholder storage has not been allocated on MPS device!
How can this be resolved?
Steps to Reproduce
- Run
export DEVICE=mps - Start the script with
./start-webui.sh - See error
Expected Behavior
It is supposed to run faster with mps device
Logs / Error Output
Operating System
MacOS 14
Hardware / CPU
Apple M1
Checklist
- I searched existing issues
- I am using a supported environment
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