storyteller
CogView
| storyteller | CogView | |
|---|---|---|
| 1 | 16 | |
| 475 | 1,605 | |
| - | 1.3% | |
| 5.9 | 4.2 | |
| 9 months ago | 8 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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storyteller
CogView
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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.
What are some alternatives?
ez-text2video - Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
Sketch-Guided-Stable-Diffusion - Unofficial Implementation of the Google Paper - https://sketch-guided-diffusion.github.io/
CogView2 - official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
DialogRPT - EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"
Gen-L-Video - The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
Awesome-Video-Diffusion - A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
LLM-groundedDiffusion - LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD)
Text-to-Image-Synthesis - Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper