Showing 4 open source projects for "windows key finders"

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  • 1
    OpenAI DALL·E AsyncImage SwiftUI

    OpenAI DALL·E AsyncImage SwiftUI

    OpenAI swift async text to image for SwiftUI app using OpenAI

    SwiftUI views that asynchronously loads and displays an OpenAI image from open API. You just type in your idea and AI will give you an art solution. DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts". You need to have Xcode 13 installed in order to have access to Documentation Compiler (DocC) OpenAI's text-to-image model DALL-E 2 is a recent example of diffusion models. It uses diffusion models for...
    Downloads: 3 This Week
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  • 2
    ChatFred

    ChatFred

    Alfred workflow using ChatGPT, DALL·E 2 and other models for chatting

    ... or download it over GitHub and add your OpenAI API key. If you have used ChatGPT or DALL·E 2, you already have an OpenAI account. Otherwise, you can sign up here - You will receive $5 in free credit, no payment data is required. Afterward you can create your API key. To start a conversation with ChatGPT either use the keyword cf, setup the workflow as a fallback search in Alfred or create your custom hotkey to directly send the clipboard content to ChatGPT.
    Downloads: 0 This Week
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  • 3
    OpenAI PicGen x23

    OpenAI PicGen x23

    OpenAI Picture Generator - experimental 23

    'Picture Generator' is a console (command-prompt) desktop application developed using python 3.6.8 and other add-on libaries. The experimental application uses OpenAI api from OpenAI account to create pictures on a PC Apps. User is prompt to save the API Key when app starts-up (a one-time process, the api key is saved in api-key json file for later use). 'Generated pictures' are saved 'Gen Pics' folder in the same app folder. Compatible only for windows OS.
    Downloads: 1 This Week
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  • 4
    VQGAN-CLIP web app

    VQGAN-CLIP web app

    Local image generation using VQGAN-CLIP or CLIP guided diffusion

    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...
    Downloads: 0 This Week
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