pixray
glide-text2im
| pixray | glide-text2im | |
|---|---|---|
| 12 | 33 | |
| 1,040 | 3,593 | |
| 1.0% | 0.4% | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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pixray
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[GPU] ASUS Refurbished GPU's RTX 3070 Dual Fan ($350) RTX 3070 Triple Fan ($380) RTX 3080 10GB ($550) Sold Direct from Asus - Free Shipping
Not sure I ran https://github.com/pixray/pixray, which I think is based off of VQGAN. It would fluctuate from 50-100 -> 300-400 watts every few seconds and my desk lamp on the same power strip would flicker dim every time it hit. I game all the time at that wattage, so I assume it was spiking well over 400 when it would kick up.
- Open source Python libraries for AI image generation that you can install on an Amazon GPU instance, like min(DALL-E) and Pixray?
- List of open source machine learning AI image generation/text-to-image libraries that can be installed on an Amazon GPU instance? e.g. MinDall-E, Disco Diffusion, Pixray
- Creating Pixel Art (2010)
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I used AI to create thematic art to cards of my game
I used code from https://github.com/pixray/pixray. It is not easy to use directly, and you need datacenter GPU to use pixray well. I ended up maintaining the texts at google sheets and running the model training at GCP Vertex AI infrastructure. I might open source the steps to do that later, but now the code is messy. Pixray does have an accessible web UI at https://replicate.com/pixray/text2image if you are interested to try it out. You can't control all parameters there though. The most recent famous AI art generator is https://openai.com/dall-e-2/, which has a wait list.
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Pixel art + cutting edge AI generation
This is a just-for-fun post. Over on the discord, Mylie and I have been getting heavily into GAN/CLIP style AI image generation, applied to pixel art with the pixeldrawer module of pixray. It has proven to be extremely fun to input Ultica art as a style guide and then use text prompts to generate new images. We've developed a new method for making seamless tiling pixel art, mixing the AI stuff with our own! Check these out:
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Stay Strong, Ukraine!
This is also hardware-hungry I'm afraid, this uses Pixray here: https://github.com/pixray/pixray
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I just released my first iOS app! It's a game where you guess what the movie is from the machine-learning generated pixel art image. Here's a playable demo for the iOS app!
Thanks! I'm using Pixray: https://github.com/pixray/pixray
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I am developing an online game in which you generate artworks using AI and run an art gallery. You can auction/display your art to other players and visit their galleries. These are examples of artworks based on the prompt "hellgate". Which do you like best? All used slightly different settings.
Can you expand? This looks like something generated by pixray (https://github.com/pixray/pixray), is that what you tweaked? Looks really cool.
They are! And you will be able to generate an unlimited number of them in my game. It is based off this implementation. Hope that helps :)
glide-text2im
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4o Image Generation
Posts like this are terrifying to me. I spend my days coding these tools thinking that everyone using them understands their glaring limitations. Then I see people post stuff like this confidently and I'm taken back to 2005 and arguing that social media will be a net benefit to humanity.
The name of the function shows up in: https://github.com/openai/glide-text2im which is where the model probably learned about it.
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인공지능에 대한 이해 : https://youtu.be/g1ARrNTwBHg 1편 - 딥러닝의 원리 https://youtu.be/CA5Ggqg5x6o 2편 - 인공지능의 창의성과 테슬라 AI https://youtu.be/jHYYggG7qq8 3편 - 코딩, 과학, 수학 난제를 해결하려는 A.I. https://youtu.be/BWJWAdMZGNY ---------------------------------------------------- 영상에 등장하는 링크 : ADOP(2021) https://arxiv.org
GLIDE(2021) https://syncedreview.com/2021/12/24/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-173/ || 소스코드 : https://github.com/openai/glide-text2im
- [R][P] I made an app for Instant Image/Text to 3D using PointE from OpenAI
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"Teacher villainess, DreamWorks official character design sheet turnaround, studio, Best on Artstation, 4K HD, by Nate Wragg"
The bolded part is a reference to the publicly released version of OpenAI's GLIDE, which is the predecessor of DALL-E 2. OpenAI didn't release the GLIDE model(s) trained on human faces.
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Trying to remember the name of an upscaler. I thought it was Glide XL or something.
OpenAI's GLIDE text2im https://github.com/openai/glide-text2im
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It just struck me that text diffs do *not* require the image-generating prompt as a starting point, and my mind is blown to pieces.
If I can stop wasting my time playing video games for a while, I might work on getting the Dalle-2 open-source predecessor (GLIDE) to work. Also can't wait for this to be released, I have so many uses for it!
- [D] Making text-to-image even better - GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models, a 5-minute paper summary by Casual GAN Papers
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Dall-E 2
A few comments by someone who's spent way too much time in the AI-generated space:
* I recommend reading the System Card that came with it because it's very through: https://github.com/openai/dalle-2-preview/blob/main/system-c...
* Unlike GPT-3, my read of this announcement is that OpenAI does not intend to commercialize it, and that access to the waitlist is indeed more for testing its limits (and as noted, commercializing it would make it much more likely lead to interesting legal precedent). Per the docs, access is very explicitly limited: (https://github.com/openai/dalle-2-preview/blob/main/system-c... )
* A few months ago, OpenAI released GLIDE ( https://github.com/openai/glide-text2im ) which uses a similar approach to AI image generation, but suspiciously never received a fun blog post like this one. The reason for that in retrospect may be "because we made it obsolete."
* The images in the announcement are still cherry-picked, which is therefore a good reason why they tested DALL-E 1 vs. DALL-E 2 presumably on non-cherrypicked images.
* Cherry-picking is relevant because AI image generation is still slow unless you do real shenanigans that likely compromise image quality, although OpenAI has likely a better infra to handle large models as they have demonstrated with GPT-3.
- Glide-Text2Im
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AI-generated photos of European flags
The flags were generated using Glide. You can try it out yourself in Google Colab
What are some alternatives?
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
glide-text2im-colab - Colab notebook for openai/glide-text2im.
pyxelate - Python class that generates pixel art from images
dalle-2-preview
pytti-core
v-diffusion-pytorch - v objective diffusion inference code for PyTorch.