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It's not opening at http://0.0.0.0:7860 but getting this #62
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For me, I edit near last line of gradio_app.py to |
For the win! |
Thanks, but where would I edit that? NEWB here |
That file is in your program directory. Edit gradio_app.py with Notepad and scroll to the bottom. Highlight the entire last line and paste the corrected line. |
You can just change the http in the browser from http://0.0.0.0:7860 to http://127.0.0.1:7860 |
Just prefix it with localhost |
C:\Users\droly\Paints-UNDO>python gradio_app.py
A matching Triton is not available, some optimizations will not be enabled
Traceback (most recent call last):
File "C:\Users\droly\miniconda3\envs\paints_undo\lib\site-packages\xformers_init_.py", line 55, in _is_triton_available
from xformers.triton.softmax import softmax as triton_softmax # noqa
File "C:\Users\droly\miniconda3\envs\paints_undo\lib\site-packages\xformers\triton\softmax.py", line 14, in
from xformers.triton.k_softmax import _softmax, softmax_backward
File "C:\Users\droly\miniconda3\envs\paints_undo\lib\site-packages\xformers\triton\k_softmax.py", line 8, in
import triton.language as tl
ModuleNotFoundError: No module named 'triton.language'
The config attributes {'shift_factor': None, 'use_post_quant_conv': True, 'use_quant_conv': True} were passed to AutoencoderKL, but are not expected and will be ignored. Please verify your config.json configuration file.
Fetching 19 files: 100%|███████████████████████████████████████████████████████████████████████| 19/19 [00:00<?, ?it/s]
Loading weights from local directory
Loading weights from local directory
Loading weights from local directory
Unload to CPU: ModifiedUNet
Unload to CPU: CLIPTextModel
Unload to CPU: CLIPTextModel
Unload to CPU: UNet3DModel
Unload to CPU: VideoAutoencoderKL
Unload to CPU: ImprovedCLIPVisionModelWithProjection
Unload to CPU: Resampler
Unload to CPU: AutoencoderKL
C:\Users\droly\Paints-UNDO\diffusers_helper\k_diffusion.py:43: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad(True), rather than torch.tensor(sourceTensor).
alphas_cumprod = torch.tensor(np.cumprod(alphas, axis=0), dtype=torch.float32)
Running on local URL: http://0.0.0.0:7860
To create a public link, set
share=True
inlaunch()
.The text was updated successfully, but these errors were encountered: