latentdeepspace

Joined 7 years ago

Karma
183
Submissions
28
Member since
Sep 24
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Recent submissions

Comment · 2 years ago
You are getting the code that is required to generate the images which you can use with Google Colab (as you can get free GPUs there). About the models you can use: literally any model (base model, LoRA) can be used, as these are handled automatically (you only need a download link from CivitAI or Huggingface or anywhere else)

Thank you for the input, I'll make sure to change these to make it more clear.

Comment · 2 years ago
If it fits your use case then it's great, but if you want to have more custom generations then you are limited with it.
Comment · 2 years ago
Where do you run the ads? And how did you set it up - how specific your targeting is?
Comment · 2 years ago
Can someone provide a bit of background how the crawling part works?
Comment · 3 years ago
I implemented a dummy real-time (tested on Mac M1) transcription approach with Whisper. You can find the project here: https://github.com/gaborvecsei/whisper-live-transcription

The idea was to provide transcription results as fast as you can, and you can refine it along the way by providing more and more context.

Comment · 3 years ago
I am wondering about the same question. Even the interface looks alike.
Comment · 3 years ago
Thank you for the advice. Your write up was valuable to me. I also want to have a lean approach to the problem, I am just overwhelmed with the whole architecture which is needed around something which should be simple (as a pet project).

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