CogView
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers". (by THUDM)
CogView2
official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers" (by THUDM)
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CogView | CogView2 | |
---|---|---|
16 | 11 | |
1,593 | 914 | |
1.8% | 0.0% | |
4.2 | 0.0 | |
7 months ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CogView
Posts with mentions or reviews of CogView.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-18.
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CogView2 web app is available at site replicate.com
This web app, which is mentioned in the CogView (1) GitHub repo, is/was using a "slightly different" model than the CogView2 GitHub repo.
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DALL-E 2 alternative: CogView2 checkpoints now available for download: best released text2image model (9b Transformer)
The web app for CogView2 has been available for months, if I am not mistaken. See this GitHub repo for the link.
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Paper+code "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers", Ding et al 2022
Is the CogView2 demo avaliable here the same as the CogView2 paper released?
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The official CogView web app might be using a new model. Evidence and link in a comment. Example: "wedding portrait. no watermark. royalty free." (3 images)
On March 16, 2022, the following was added to the CogView GitHub repo: "News! The demo for a better and faster CogView2 (formal version, March 2022) is available! The lastest model also supports English input, but to translate them into Chinese often could be better."
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6 of an AI's creations for input text description "fox at night. no watermark." The last image is a mind-bender.
Yes, CogView 2 is free to use, and is available as a web app here. CogView 2's image description text needs to be in simplified Chinese; an English-to-simplified Chinese icon appears after typing 9 characters. The styles are a quick way to add text snippets to the image description text; I forgot to mention that I used "HD Photography" style for this post.
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New Colab notebook "Multi Perceptor VQGAN + CLIP [Public]" from rdurant722. This notebook allows the optional use of a 2nd CLIP model for greater accuracy at the cost of slower processing speed. Link in comment. Example: "Enchanted Forest by James Gurney" at various iterations.
Github https://github.com/THUDM/CogView
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cat in a hat by an artificial intelligence system that composes an image to match a given text description
I used the web app for the new version 2 of CogView, then upscaled with a web app version of SwinIR, and then cropped with a paint app. Both of these are free.
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This image was the result of a text-to-image artificial intelligence system that generated an image for my text description request of "Abstract and non-abstract art combining a cat and tendrils of neon light"
This is from the new version of CogView that was released a few weeks ago. There is a link to the new web version about 1/4 of the way down its GitHub page. It is free to use, with no paid option available. Tip: The input needs to be in simplified Chinese. An English-to-simplified Chinese translator icon appears after typing 9 characters.
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Tip for new CogView version: adding sentence "No watermark." at the end of the text prompt seems to greatly reduce the occurrence of watermarks. See comment for related tip from a developer. Example: "illustration of a happy SpongeBob SquarePants. No watermark."
A method to prevent generating watermark.
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[P] New version of CogView (text-to-image) is available in online demo
GitHub repo for older version of CogView.
CogView2
Posts with mentions or reviews of CogView2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-10.
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Wiskkey's lists of text-to-image systems and related resources
(Tier 2) CogView2.
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[R] CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
Except folks have tried to run it on a 3090 and failed, due to the puny 24GB RAM on those cards. You can still run it on that hardware with an "only-first-stage" setting, but you won't get the full effect.
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CogView2 web app is available at site replicate.com
CogView2 GitHub repo.
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DALL-E 2 alternative: CogView2 checkpoints now available for download: best released text2image model (9b Transformer)
a few more high-res samples [~4 MB pdf]
- CogView2 checkpoints now available for download: best released text2image model (9b Transformer)
- CogView2: A 24 billion parameter text-to-image generation model
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CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
https://github.com/THUDM/CogView2
What are some alternatives?
When comparing CogView and CogView2 you can also consider the following projects:
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
storyteller - Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models
DialogRPT - EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.