min-dalle
cupscale
| min-dalle | cupscale | |
|---|---|---|
| 31 | 81 | |
| 3,474 | 2,067 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | C# | |
| MIT License | MIT License |
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min-dalle
- 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
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Free/open-source AI Text-To-Image Models that can be run on AWS?
min(DALL·E).
- I'm building a timeline for generative image ML models. What's missing?
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DALL·E Now Available in Beta
Additionally, it's also open-sourced on GitHub and can be self-hosted, with easy instructions to do so: https://github.com/kuprel/min-dalle
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dalle update
For CPU, even highly-optimized models like mindalle are prohibitively slow.
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Hii everyone ,Can I build the dalle mini from scratch or not?? Please help!!
Maybe you would be interested in this GitHub repo.
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World of Warcraft Character Beanie Babies
These were generated with DALL-E Mega via min-dalle, which is a more advanced version of DALL-E Mini with better visual fidelity (less blurry) but otherwise similar results.
- Show HN: Generate webpage summary images with DALL-E mini
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"min(DALL·E)" is "a minimal implementation of Boris Dayma's DALL·E Mini in PyTorch. It has been stripped to the bare essentials necessary for doing inference." This uses the DALL-E Mega model. The Google Colab notebook using a Tesla T4 GPU takes 35 seconds to generate 4 images, and 17 seconds for 1.
GitHub repo (contains links to Colab notebook and web app at site Replicate[dot]com). The times mentioned in the title don't included setup time.
cupscale
- Print Four Souls Cards at Home (Fixed Audio)
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What about game assets that target 1080p and you want 4K fidelity?
If you want to do more, there's chaiNNer and CupScale. You need to download an AI model to use those. There are a lot of anime/cartoon models out, so pick one that you like from here. (Note: Upscaly doesn't support these custom models.)
- Help selecting software
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Do you have Topaz AI?
I'm not 100% sure how it holds up against topaz, but I've used cupscale (a gui for ESRGAN) to upscale most of my stuff. Its free (https://github.com/n00mkrad/cupscale) and you can find a million different ESRGAN models which are focused on different kinds of images (https://upscale.wiki/wiki/Model_Database).
- Unfall mit Fahrerflucht, AI-Upscaling?
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(For FE Awakening in Citra) How can I change robin hair portrait?
Now upscaling isn't hard to do by itself, but the setup can be difficult. As I said earlier, ERSGAN is the preferable way to do it. (https://github.com/n00mkrad/cupscale) Cupscale is my preferred tool for doing it this way. (https://www.topazlabs.com/gigapixel-ai) Gigapixel is another option that's easier for newcomers, but may not produce as good of results. They even have a free trial if you want to demo the tool.
- What workflow is best for upscaling portraits taken by phone camera or DSLR?
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Now that they started banning stable diffusion on google colab, what's the cheapest and the best way to deploy stable diffusion?
I use cupscale for upscaling things. Allows chaining models and handles video.
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Are there any google collab scripts or other tools to upscale a bunch of images..?
For local there's cupscale and chainner
- A rustic cottage by the field [1920x1080]
What are some alternatives?
dalle-mini - DALL·E Mini - Generate images from a text prompt
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
KoboldAI-Client
waifu2x - Image Super-Resolution for Anime-Style Art
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
chaiNNer - A flowchart/node-based image processing GUI aimed at making chaining image processing tasks (especially upscaling done by neural networks) easy, intuitive, and customizable. [Moved to: https://github.com/chaiNNer-org/chaiNNer]