Turn drawing strokes into beautiful vehicle pictures.
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Updated
Sep 28, 2022 - Jupyter Notebook
Turn drawing strokes into beautiful vehicle pictures.
A Python project to implement an image restoration of a random corrupted MNIST dataset.
Leverage Midjourney prompts into a flexible dataset for better language model training.
Implementations of various neural style transfer algorithms from scratch in PyTorch
What do we learn from inverting CLIP models? And what does a CLIP 'see' in an image?
A simple Tesseract wherein you can have the text from the image. Idea from: https://www.npmjs.com/package/text-from-image
💎 Compose AI for images; build next-gen applications, easily. 💎
Create, store and enable embeddings related features like semantic search, RAG, recommendation, image to image and more
The Image Processing Toolkit (IPT) is a Python project using the Stability AI API for effortless image creation, modification, and upscaling. Generate imaginative images from text, transform existing ones, and enhance resolution seamlessly. Simplify your image processing tasks with IPT!
A tensorflow implementation of Image-to-Image Translation with Conditional Adversarial Nets(pix2pix)
📝 Papers I read and notes/reviews I made. Also useful links to courses (RL/NLP/Bio/QC/DevOps)
In this study, we work to transfer the pattern to the basic face image from the pattern face image, by adjusting the latent space and moving within it.
Works and resources related to image generation via diffusers
Optimized Stable Diffusion modified to run on lower GPU VRAM with RealESRGAN and GFPGAN integration for text-to-image
Aurora: Let the magic begin!
Hi! I'm Image Styler - Telegram Bot. Send me 2 photos and I'll take the content from the first image and the style from the second one. Then I'll generate a new image with the taken content and style and send it back. Hah...amazing!
An android client app that transforms your doodles into AI art in realtime.
Experiment with latent diffusion models.
An image - to-image pipeline using "lykon/dreamshaper-8" model, ControlNet and Ip-adapter
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