A Python project to implement an image restoration of a random corrupted MNIST dataset.
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Updated
Aug 3, 2022 - Jupyter Notebook
A Python project to implement an image restoration of a random corrupted MNIST dataset.
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!
An android client app that transforms your doodles into AI art in realtime.
An image - to-image pipeline using "lykon/dreamshaper-8" model, ControlNet and Ip-adapter
Pix2Pix implementation in Pytorch
Controlnet v1.1 was released in lllyasviel/ControlNet-v1-1 by Lvmin Zhang. This checkpoint is a conversion of the original checkpoint into diffusers format. It can be used in combination with Stable Diffusion, such as runwayml/stable-diffusion-v1-5.
Laravel 10 application featuring CRUD operations, user authentication, and image-to-image generation using OpenAI's API. Explore the future of image management and creative AI.
"DALLE-3 MASTERWARE +" is a wrapper application of OpenAI's Dall-e-3 built in Gradio to provide a GUI interface for user friendly interactions with the official OpenAI API
Console application for making requests to QQ anime ai.
Generates images from input text.
Simple script to make images look like cartoon animations
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?
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.
Optimized Stable Diffusion modified to run on lower GPU VRAM with RealESRGAN and GFPGAN integration for text-to-image
Aurora: Let the magic begin!
Text-Assisted Image Manipulation
splits an image into RGBA/RGB channels
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