vqgan clip web app

We have hosted the application vqgan clip web app in order to run this application in our online workstations with Wine or directly.

Quick description about vqgan clip web app:

VQGAN-CLIP has been in vogue for generating art using deep learning. Searching the r/deepdream subreddit for VQGAN-CLIP yields quite a number of results. Basically, VQGAN can generate pretty high-fidelity images, while CLIP can produce relevant captions for images. Combined, VQGAN-CLIP can take prompts from human input, and iterate to generate images that fit the prompts. Thanks to the generosity of creators sharing notebooks on Google Colab, the VQGAN-CLIP technique has seen widespread circulation. However, for regular usage across multiple sessions, I prefer a local setup that can be started up rapidly. Thus, this simple Streamlit app for generating VQGAN-CLIP images on a local environment. Be advised that you need a beefy GPU with lots of VRAM to generate images large enough to be interesting. (Hello Quadro owners!).

Features:

• VQGAN-CLIP: streamlit run app.py, launches web app on localhost: 8501 if available
• CLIP guided diffusion: streamlit run diffusion_app.py, launches web app on localhost: 8501 if available
• python gallery.py, launches a gallery viewer on localhost: 5000
• In the web app, select settings on the sidebar, key in the text prompt, and click run to generate images using VQGAN-CLIP
• CLIP guided diffusion
• Output and gallery viewer

Programming Language: Python.
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