bevy_retro
glide-text2im
| bevy_retro | glide-text2im | |
|---|---|---|
| 5 | 32 | |
| 294 | 3,470 | |
| 0.3% | 0.6% | |
| 4.0 | 0.0 | |
| 7 months ago | about 2 months ago | |
| Rust | Python | |
| GNU General Public License v3.0 or later | MIT License |
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bevy_retro
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Many reasons to always read the LICENSE
https://github.com/katharostech/bevy_retrograde/blob/master/LICENSE.md section 6.2
- Katharostech/Bevy_retrograde Licensing Issue
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Dall-E 2
There are programming projects[1] out there that use licenses to prevent people from using projects in ways the authors don't agree with. You could also argue that GPL does the same thing (prevents people from using/distributing the software in the way they would like).
Whether you consider it moral doesn't seem relevant, only to respect the wishes of the author of such programs.
[1] https://github.com/katharostech/bevy_retrograde/blob/master/...
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yo guys, if you are an indie developer and you buy some 3d models what do you have to do with the licenses? do I have to include them in the game or something?
A "copyleft" licence such as GPL requires any software that uses it to also be licensed under GPL or equivalent. Then there's more esoteric licences such as Katharos.
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5 stages of cargo
speaking of, check the lisence on this bad boy: https://github.com/katharostech/bevy_retro
glide-text2im
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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
- New AI technique that lets you generate images from text. Now better than ever!
What are some alternatives?
rend3 - Easy to use, customizable, efficient 3D renderer library built on wgpu.
dalle-2-preview
bevy_tilemap - Tilemap with chunks for the Bevy game engine.
dalle-mini - DALL·E Mini - Generate images from a text prompt
bevy - A refreshingly simple data-driven game engine built in Rust
glide-text2im-colab - Colab notebook for openai/glide-text2im.
pixray
gpt-3 - GPT-3: Language Models are Few-Shot Learners
improved-diffusion - Release for Improved Denoising Diffusion Probabilistic Models
community-events - Place where folks can contribute to 🤗 community events
v-diffusion-pytorch - v objective diffusion inference code for PyTorch.