- CLIP-Style-Transfer VS Colab-deep-daze
- CLIP-Style-Transfer VS StyleCLIP
- CLIP-Style-Transfer VS StyleCLIP
- CLIP-Style-Transfer VS AuViMi
- CLIP-Style-Transfer VS clipping-CLIP-to-GAN
- CLIP-Style-Transfer VS aphantasia
- CLIP-Style-Transfer VS clip-glass
- CLIP-Style-Transfer VS stylized-neural-painting
- CLIP-Style-Transfer VS random-colabs
- CLIP-Style-Transfer VS VectorAscent
CLIP-Style-Transfer Alternatives
Similar projects and alternatives to CLIP-Style-Transfer
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big-sleep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
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deep-daze
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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StyleCLIP
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
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clip-glass
Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"
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Colab-deep-daze
Discontinued Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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stylized-neural-painting
Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
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AuViMi
AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken.
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TediGAN
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
CLIP-Style-Transfer reviews and mentions
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test
(Added Mar. 8, 2021) CLIP Style Transfer Test.ipynb - Colaboratory by Zasder3. Uses VGG19's conv4_1 to generate images. GitHub. Twitter reference.
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[Project] Learning Artistic Style From Language Features using CLIP
Code: https://github.com/Zasder3/CLIP-Style-Transfer
Stats
Zasder3/CLIP-Style-Transfer is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of CLIP-Style-Transfer is Jupyter Notebook.