text to image inference too slow
The following message is displayed before the calculation of stage_b or stage_c starts, and there is a time lag of several minutes before the calculation starts
Please let me know if there is a way to solve these problems.
os: ubuntu 22.04 python: 3.10.12
I have installed the other libraries according to the requirements.txt file.
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using `tokenizers` before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [02:52<00:00, 8.63s/it]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [06:51<00:00, 41.18s/it]
I am having the same issue, using the sample code from the text_to_image.jpynb example. I get to cell 4 and then get this:
However, upon restarting the kernel that died (WSL2, also running ubuntu 22.04) I now get this:
EDIT:
I fixed it by removing the "optional: compile stage c and stage b" cell and re running from the beginning. I was able to generate images after doing this.
well we have much faster app with amazing optimizations
https://github.com/Stability-AI/StableCascade/issues/125