StyleCLIP VS aphantasia

While CLIP on its own is useful for applications such as zero-shot classification, semantic searches, and unsupervised data exploration, CLIP is also used as a building block in a vast array of multimodal applications, from Stable Diffusion and DALL-E to StyleCLIP and OWL-ViT. For most of these downstream applications, the initial CLIP model is regarded as a “pre-trained” starting point, and the entire model is fine-tuned for its new use case.

I'm currently building a fork for StyleCLIP global directions which allows you to control multiple semantic parameters simoultaneously to generate and edit an image with StyleGAN and CLIP in realtime. I want to showcase its potential as a design tool. Unfortunately, GAN weights are trained on very domain-specific (faces, cars, churches) data. This makes them inferior to modern diffusion models which I can use to generate whatever comes to mind. Although I know we won't have a GAN-based DALL-E counterpart anytime soon, I still would love to use my system with weights that can output a wide variety of things.

(Added Feb. 15, 2021) StyleCLIP - Colaboratory by orpatashnik. Uses StyleGAN to generate images. GitHub. Twitter reference. Reddit post.

I used StyleCLIP. I purchased some Google Colab time to use their GPUs. I'll probably do some more later this week.

Link for Styleclip

So, I watched this Corridor Crew video on generating realistic faces from CG characters, and I wanted to try it out on the RDR2 models. The github link for the original work is here. If you guys are interested I can generate the faces of more characters from RDR2 and RDR1. I can even try some from RD Revolver.

Combining these methods with CLIP allows you to generate images based on text. This one uses a face generator. https://github.com/orpatashnik/StyleCLIP

A new music video I made off of my latest release "Junglehaus" I used the Aphantasia library from eps696 (https://github.com/eps696/aphantasia) by feeding it the lyrics from the song and then editing together the best generations.

(Added Mar. 1, 2021) Aphantasia.ipynb - Colaboratory by eps696. Uses FFT (Fast Fourier Transform) from Lucent/Lucid to generate images. GitHub. Twitter reference. Example #1. Example #2.

Made with Illustrip by Vadim Epstein (https://github.com/eps696/aphantasia) and FL Studio for the background ambience

GPT-J - from the wizards at Eleuther.ai, via HuggingFace. - https://huggingface.co/EleutherAI/gpt-j-6B Aphantasia - from vadim epstein (eps696) - https://github.com/eps696/aphantasia

Over the weekend i've been toying around with the amazing Aphantasia, using quotes about the months of the year as prompts, this is definitely my favorite of the whole set.