Open XuekuanWang opened 6 days ago
"You are using torch==0.9.1.dev20240624+cu122, but torch>=1.10.0 is required to use BridgeTowerModel. Please upgrade torch."
I find the version of 0.9.1.dev20240624+cu122 is oneflow not torch.
@ccssu looks like a problem with mock
hello, Thank you for your feedback @XuekuanWang
Please let us know the diffusers version information, probably due to version compatibility issues.
The onediff nearest ci test script is pass, using the diffusers==0.19.3 , You can also try using it pip install diffusers==0.19.3
https://github.com/siliconflow/onediff/blob/main/onediff_diffusers_extensions/examples/text_to_image_deep_cache_sdxl.py
Describe the bug
A clear and concise description of what the bug is.
I cannot run example code of SDXL with deepcache. The error report is "
obj_entity = self._get_module(name) File "/mnt/wangxuekuan/onediff/src/onediff/infer_compiler/backends/oneflow/import_tools/dyn_mock_mod.py", line 167, in _get_module raise RuntimeError( RuntimeError: Failed to import onediffx.deep_cache because of the following error (look up to see its traceback): PyTorch should be >= 1.12"
However, my pytorch is 2.3.0. And I try to print the version of Pytorch, and get log "You are using torch==0.9.1.dev20240624+cu122, but torch>=1.10.0 is required to use BridgeTowerModel. Please upgrade torch."
I find the version of 0.9.1.dev20240624+cu122 is oneflow not torch.
Your environment
A100, ubuntu 20.04
OneDiff git commit id
master branch code onediff 1.2.0.dev1
onediffx 1.2.0.dev1 oneflow 0.9.1.dev20240624+cu122
OneFlow version info
Run
python -m oneflow --doctor
and paste it here.version: 0.9.1.dev20240624+cu122 git_commit: ec7b682 cmake_build_type: Release rdma: True mlir: True enterprise: False
How To Reproduce
Steps to reproduce the behavior(code or script):
The complete error message
The sample code " import torch
from onediffx import compile_pipe from onediffx.deep_cache import StableDiffusionXLPipeline
pipe = StableDiffusionXLPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True ) pipe.to("cuda")
pipe = compile_pipe(pipe)
prompt = "A photo of a cat. Focus light and create sharp, defined edges."
Warmup
for i in range(1): deepcache_output = pipe( prompt, cache_interval=3, cache_layer_id=0, cache_block_id=0, output_type='pil' ).images[0]
deepcache_output = pipe( prompt, cache_interval=3, cache_layer_id=0, cache_block_id=0, output_type='pil' ).images[0] "