Ecosyste.ms: Repos
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GitHub topics: vqgan-clip
bes-dev/pytorch_clip_guided_loss
A simple library that implements CLIP guided loss in PyTorch.
Language: Python - Size: 1.22 MB - Last synced: 8 days ago - Pushed: over 2 years ago - Stars: 77 - Forks: 5
MohamadZeina/Disco_Diffusion_Local
Getting the latest versions of Disco Diffusion to work locally, instead of colab. Including how I run this on Windows, despite some Linux only dependencies ;)
Language: Jupyter Notebook - Size: 2.16 MB - Last synced: 29 days ago - Pushed: almost 2 years ago - Stars: 312 - Forks: 36
rbbrdckybk/ai-art-generator
For automating the creation of large batches of AI-generated artwork locally.
Language: Python - Size: 13.1 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 626 - Forks: 127
pytti-tools/pytti-notebook
Start here
Language: Jupyter Notebook - Size: 338 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 108 - Forks: 26
rkhamilton/vqgan-clip-generator
Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
Language: Jupyter Notebook - Size: 106 MB - Last synced: 2 months ago - Pushed: over 2 years ago - Stars: 110 - Forks: 28
somewheresy/S2ML-Generators
Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
Language: Jupyter Notebook - Size: 46.9 KB - Last synced: 7 months ago - Pushed: 8 months ago - Stars: 178 - Forks: 53
robobeebop/VQGAN-CLIP-Video
Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.
Language: Python - Size: 9.46 MB - Last synced: 4 months ago - Pushed: about 2 years ago - Stars: 22 - Forks: 5
pandas9/txt2dream
machines vivid dreams
Language: Jupyter Notebook - Size: 8.66 MB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0
CorvaeOboro/gen_item
creates item images utilizing procgen and neural networks
Language: Python - Size: 42.1 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 3 - Forks: 0
mahalrs/newsgen
Multi-Modal Image Generation for News Stories
Language: Python - Size: 356 KB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
yudhisteer/Generating-Design-Ideas-from-Keywords
The purpose of the project is to understand a basic GAN from scratch. A WGAN was built to generate people's faces based in the Celeba Dataset. VQGAN + CLIP model was used to generate unique designs that would be used in fashion.
Language: Jupyter Notebook - Size: 1.57 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 6 - Forks: 1
overshard/ai-art
Art generation using VQGAN + CLIP using docker containers. A simplified, updated, and expanded upon version of Kevin Costa's work. This project tries to make generating art as easy as possible for anyone with a GPU by providing a simple web UI.
Language: Python - Size: 2.23 MB - Last synced: 12 months ago - Pushed: almost 2 years ago - Stars: 15 - Forks: 2
Frikallo/YAKbot 📦
⚠️ DEVELOPMENT REPO - NOT MAINTAINED OR EASILY DEPLOYABLE ⚠️
Language: Python - Size: 109 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 4
ryananan/ai-atelier
Based on the Disco Diffusion, we have developed a Chinese & English version of the AI art creation software "AI Atelier". We offer both Text-To-Image models (Disco Diffusion and VQGAN+CLIP) and Text-To-Text (GPT-J-6B and GPT-NEOX-20B) as options. 在Disco Diffusion模型的基础上，我们开发了一款汉化版AI艺术创作软件“AI聊天画室”。我们同时提供了文本生成图像模型（Disco Diffusion与VQGAN+CLIP）及文本生成文本（GPT-J-6B及GPT-NEOX-20B）可供选择。
Language: Python - Size: 2.51 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 40 - Forks: 4
happy-jihye/Streamlit-Tutorial
Streamlit Tutorial (ex: stock price dashboard, cartoon-stylegan, vqgan-clip, stylemixing, styleclip, sefa)
Language: Python - Size: 180 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 30 - Forks: 15
CorvaeOboro/gen_ability_icon
creates ability icon images utilizing procgen and neural networks
Language: Python - Size: 56.9 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1
bharathraj-v/art_project
Mozart - A Generative Art Platform
Language: Jupyter Notebook - Size: 15.6 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 2
dughogan/VQGAN_Prompts
Generates a random prompt for a VQGAN+CLIP
Language: Python - Size: 12.7 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 30 - Forks: 15
SilentByte/artai
ArtAI is an interactive art installation that collects people's ideas in real-time from social media and uses deep learning and AI art generation to curate these ideas into a dynamic display.
Language: GDScript - Size: 45.9 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 12 - Forks: 2
tnwei/vqgan-clip-app
Local image generation using VQGAN-CLIP or CLIP guided diffusion
Language: Python - Size: 6.04 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 94 - Forks: 29
rxchit/AI-art-gen
AI-powered art generator based on VQGAN+CLIP
Language: Jupyter Notebook - Size: 31.8 MB - Last synced: 11 months ago - Pushed: about 2 years ago - Stars: 3 - Forks: 0
krishnakaushik25/VQGAN-CLIP
Gradio Web app for running VQGAN-CLIP locally
Language: Jupyter Notebook - Size: 52.3 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 4 - Forks: 6
OmkarNarvekar001/ART_GENERATION_USING_SPEECH_EMOTIONS
Translation of speech to image directly without text is an interesting and useful topic due to the potential application in computer-aided design, human to computer interaction, creation of an art form, etc. So we have focused on developing Deep learning and GANs based model which will take speech as an input from the user, analyze the emotions associated with it and accordingly generate the artwork which has been demanded by the user which will in turn provide a personalized experience. The approach used here is convolutional VQGAN to learn a codebook of context-rich visual parts, whose composition is subsequently modeled with autoregressive transformer architecture. Concept of CLIP-Contrastive Language Image-Pre-Training, also uses transformers which is a model trained to determine which caption from a set of captions best fits with a given image is used in our project. The input speech is classified into 8 different emotions using MLP classifier trained of RAVDESS emotional speech audio dataset and this acts as a base filter for the VQGAN model. Text converted from speech plays an important role in producing the final output image using CLIP model. VQGAN+CLIP model together utilizes both emotions and text to generate a more personalized artwork.
Language: Jupyter Notebook - Size: 428 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
LibreCS/vqgarm
VQGAN+CLIP implementation for aarch64 architecture testing and benchmarking with machine learning workloads
Language: Python - Size: 117 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0
hululuzhu/cn-text-to-pic
趣味中文图片生成
Language: Jupyter Notebook - Size: 2.88 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0
mohamedsobhi777/COMP4971C---Independent-Study-Project
COMP4971C Independent Study Project Repository.
Size: 421 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
Xibanya/VQGAN-CLIP Fork of nerdyrodent/VQGAN-CLIP
yet another VQGAN-CLIP variation
Language: Python - Size: 38 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0
benckx/baudelaire-on-vqgan
Experiments with Baudelaire and a text-to-image GAN.
Language: HTML - Size: 5.12 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0
