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Because this is my first time using dream-factory, I'm not sure if I'm on the right track.
Trying to run it in Kaggle Notebook without using setup.py because I already had the dependencies installed before which I usually use it to run Automatic1111.
And then run dream-factory.py with python in a Mamba environment.
At first , I was stuck in 'Waiting for SD instance to be ready"
[controller] >>> reading configuration from config.txt...
[controller] >>> starting webserver (http://localhost:8080/) as a background process...
[controller] >>> webserver listening for external requests...
[controller] >>> detected 2 total GPU device(s)...
[controller] >>> initialized worker 'cuda:0': Tesla T4
[controller] >>> initialized worker 'cuda:1': Tesla T4
[cuda:0] >>> starting new SD instance via: /kaggle/working/stable-diffusion-webui/df-start-gpu-0.sh
[cuda:0] >>> waiting for SD instance to be ready...
As a result, I must manually run the automatic1111 webUI via threading.
So it works.
[controller] >>> reading configuration from config.txt...
[controller] >>> starting webserver (http://localhost:8080/) as a background process...
[controller] >>> webserver listening for external requests...
[controller] >>> detected 2 total GPU device(s)...
[controller] >>> initialized worker 'cuda:0': Tesla T4
[controller] >>> initialized worker 'cuda:1': Tesla T4
[cuda:0] >>> starting new SD instance via: /kaggle/working/stable-diffusion-webui/df-start-gpu-0.sh
[cuda:0] >>> waiting for SD instance to be ready...
[cuda:0] >>> SD instance finished initialization; ready for work!
[cuda:1] >>> starting new SD instance via: /kaggle/working/stable-diffusion-webui/df-start-gpu-1.sh
[cuda:0] >>> passing initial setup options to SD instance...
[cuda:1] >>> waiting for SD instance to be ready...
[cuda:0] >>> querying SD for available samplers...
[cuda:0] >>> querying SD for available models...
[cuda:0] >>> querying SD for available hypernetworks...
[cuda:0] >>> received sampler query response: SD indicates 19 samplers available for use...
[cuda:0] >>> received hypernetwork query response: SD indicates 0 hypernetworks available for use...
[cuda:0] >>> received model query response: SD indicates 1 models available for use...
[controller] >>> No more work in queue; waiting for all workers to finish...
[controller] >>> All work done; pausing server - add some more work via the control panel!
But now there was another issue
The text was updated successfully, but these errors were encountered:
Hey - did you ever figure this out? The startup sequence shown on the console looks correct. You can try setting this in your config.txt:
WEBSERVER_CONSOLE_LOG = yes
and restart Dream Factory to see if the webserver is throwing any errors. Also, check the developer console in your browser (press ctrl+shift+J in Chrome) to see if you see any errors there.
Because this is my first time using dream-factory, I'm not sure if I'm on the right track.
Trying to run it in Kaggle Notebook without using setup.py because I already had the dependencies installed before which I usually use it to run Automatic1111.
And then run dream-factory.py with python in a Mamba environment.
At first , I was stuck in 'Waiting for SD instance to be ready"
As a result, I must manually run the automatic1111 webUI via threading.
So it works.
But now there was another issue
The text was updated successfully, but these errors were encountered: