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Noisy visual results

Open SnowdenLee opened this issue 1 year ago • 3 comments

Hi, I just followed your README and ran the flower example, but I got very noisy samples. Do you maybe know the reasons? 0_all

SnowdenLee avatar May 13 '24 10:05 SnowdenLee

Hi, I have re-cloned the repository and set up the environment according to the README, and the results I obtained are normal. Perhaps you could double-check the versions of the Python packages.

image

JudgementH avatar May 29 '24 16:05 JudgementH

Hi @JudgementH , thanks for your reply. When I set enable_xformers_memory_efficient_attention: False, it's still not working. Is it also the case for you? But if I set it to True, it works.

SnowdenLee avatar May 29 '24 19:05 SnowdenLee

Hi @SnowdenLee , I tested with enable_xformers_memory_efficient_attention=False, and it also works. Even when I further uninstalled xformers, I was still able to produce normal results. I'm not sure what is causing this not to work. Below are the versions of all the Python packages I have installed:

Package                  Version
------------------------ ----------
accelerate               0.17.1
antlr4-python3-runtime   4.9.3
certifi                  2024.2.2
charset-normalizer       3.3.2
decord                   0.6.0
diffusers                0.11.1
einops                   0.7.0
filelock                 3.14.0
fsspec                   2024.5.0
huggingface-hub          0.23.2
idna                     3.7
imageio                  2.26.0
importlib-metadata       7.1.0
mypy-extensions          1.0.0
numpy                    1.24.2
nvidia-cublas-cu11       11.10.3.66
nvidia-cuda-nvrtc-cu11   11.7.99
nvidia-cuda-runtime-cu11 11.7.99
nvidia-cudnn-cu11        8.5.0.96
omegaconf                2.3.0
opencv-python            4.7.0.72
packaging                23.2
pillow                   10.1.0
pip                      24.0
psutil                   5.9.8
pyre-extensions          0.0.23
pyyaml                   6.0.1
regex                    2024.5.15
requests                 2.32.3
setuptools               69.5.1
tokenizers               0.13.3
torch                    1.13.1
torchvision              0.14.1
tqdm                     4.65.0
transformers             4.27.1
typing-extensions        4.12.0
typing-inspect           0.9.0
urllib3                  2.2.1
uv                       0.2.5
wheel                    0.43.0
zipp                     3.19.0

Additionally, I am running on Python 3.10.14 , cuda 12.3. I hope this information can help you.

JudgementH avatar May 29 '24 19:05 JudgementH