git clone 'https://github.com/nerdyrodent/VQGAN-CLIP' cd VQGAN-CLIP git clone 'https://github.com/openai/CLIP' git clone 'https://github.com/CompVis/taming-transformers' Note: In my development environment both CLIP and taming-transformers are present in the local directory, and so aren...
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab. - VQGAN-CLIP/vqgan.yml at main · ApOgEE/VQGAN-CLIP
This branch is 1 commit ahead of AK391/VQGAN-CLIP:main.Folders and files Latest commit TrellixVulnTeam Adding tarfile member sanitization to extractall() 062c83d· History5 Commits CLIP steps taming-transformers LICENSE README.md gradiodemo.py requirements.txt Repository files navigation...
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab. - VQGAN-CLIP/random.sh at main · ApOgEE/VQGAN-CLIP
Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized dockerdeep-learningtransformersgenerative-adversarial-networkgenerative-arttext-to-imagetext2imagevqgan UpdatedOct 15, 2021 Python Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens" ...
github/VQGAN-CLIP/Saves/VideoStyleTesting" ## Output image size HEIGHT=640 WIDTH=360 ## Iterations ITERATIONS=25 SAVE_EVERY=$ITERATIONS ## Optimiser & Learning rate OPTIMISER=Adagrad # Adam, AdamW, Adagrad, Adamax LR=0.2 # Fixed seed SEED=`shuf -i 1-9999999999 -n 1` # Keep the same ...
This version was originally a fork of @nerdyrodent's VQGAN-CLIP code which itself was based on the notebooks of @RiversWithWings and @advadnoun. To get started with pixray, check out THE DEMO NOTEBOOKS - especially the super simple "Start Here" colab. Citations @misc{unpublished2021clip,...
CLIP:github.com/openai/CLIP text encoder 是传统的 12 层 transformer,63M 参数 Disco Diffusion:github.com/alembics/dis CLIP + Guided Diffusion DALLE from OpenAI / Imagen from Google 系列闭源 DALLE (非官方实现):github.com/lucidrains/D 12B 参数 DALLE-mini:github.com/borisdayma/d 0.4B...
VQGAN+CLIP(Vector Quantised General Adversarial Network + Contrastive Language - Image Pre-training)是最近新兴的“数据艺术”的最新研究之一,现在已被用于创作一些令人惊叹的艺术作品。 它接收文本输入并返回根据文本描述生成的图像。 本篇文章我将看看它是否可以从 Pokédex 的图鉴描述中绘制 Pokémon。 数据来源...
OpenAI的CLIP 用于连接文本与图像 具体的应用,比如一位开发者的项目:通过文本搜索精准匹配图片的项目。该项目大约有200 万张Unsplash的图片 ,通过 CLIP 模型处理后,可以使用自然语言进行精准搜索。 github.com/haltakov/natural-language-image-search "Two dogs playing in the snow" ...