Things I've made this year (that I can remember, not in order of complexity nor chronologically in order)
Quick Inversion, approximate textual-inversion in seconds instead of hours.
Doohickey, A diffusers-based wrapper for stable diffusion, one of (if not? someone fact check) the first public notebooks to incorporate CLIP guidance, loading of any model from the huggingface hub (diffusers or compvis style), and more.
Whatchamacallit an alternative wrapper for simplified use of Stable Diffusion with diffusers pipelines.
Experiments in Adversarial Noise for corrupting an image upon encoding of the VQGAN used in Stable Diffusion. (In response to a tweet about an "anti-ai" filter)
Experiments with pre-training transformers on algorithmically generated texts from scratch. (note: on a laptop 3060, couldn't make it much bigger in reasonable time without a big machine)
Genetic Algorithm for fine-tuning a prompt in accordance to user preferences.
Webui for creating new concepts from existing tokens with sliders representing how much of each token to mix in
Meta-Opt of RGB Tensors for Txt2Img
Experiment with hivemind's 8bit transformer finetuning before load_in_8bit existed.. now this is redundant 🙃
Wrapper around OpenAI's CLIP for few/0-shot classification
Other Assorted Models/Files:
- Finetuned SD Models
- CLIP-related
- https://huggingface.co/crumb/midjourney-textual-inversions
- a group of cinematic-styles for generation that are automatically pre-loaded in Doohickey
- https://huggingface.co/crumb/ViT-L-14-Token-Embeddings
- preprocessed every single token into it's full embedding for ViT-L/14, for use in search functions for optimizing text-inversion and dreambooth-like processes.
- https://huggingface.co/crumb/midjourney-textual-inversions
There's countless other side-projects I completed but I'm pretty sure this hits all the main points.