majesty-diffusion
cupscale
| majesty-diffusion | cupscale | |
|---|---|---|
| 8 | 81 | |
| 274 | 2,067 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Jupyter Notebook | C# | |
| - | MIT License |
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majesty-diffusion
- disco diffusion makes realistic portraits, Latent Majesty makes portraits + bewbs
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Protests erupt outside of DALL-E offices after pricing implementation, press photograph
You missed Majesty Diffusion. It's rather complicated to use because it uses latent space diffusion and CLIP guidance at the same time, so you have to get many settings right, but once you do it can give amazing results, go see them on their Discord!
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DALL·E Now Available in Beta
Here are a couple I've used recently:
Majestic diffusion - https://github.com/multimodalart/majesty-diffusion
Centipede diffusion - https://colab.research.google.com/github/Zalring/Centipede_D...
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Judy Hopps as a real person (Latent Majesty Difusion)
I suck with computers so i hope these links mean something to you, looks like devil witch magic to me. link1 link2 link3
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The inner works of AGI
There's also another model going around called Latent Majesty Diffusion that does the same thing.
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Lenin as a bust on Mars (Dall-E-Mini + Majesty Diffusion + Centipede Diffusion)
I found the github: https://github.com/multimodalart/majesty-diffusion
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New text-to-image network from Google beats DALL-E
Check https://github.com/multimodalart/majesty-diffusion
There is a Google Colab workbook that you can try and run for free :)
This is the image-text pairs behind: https://laion.ai/laion-400-open-dataset/
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Colab notebooks "Latent Majesty Diffusion" (CLIP-guided latent diffusion; formerly known as Latent Princess Generator) and "V-Majesty Diffusion" (CLIP-guided V-objective diffusion; formerly known as Princess Generator Victoria)
GitHub repo.
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.
text-to-text-transfer-transformer - Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
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.
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
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.
hent-AI - Automation of censor bar detection
waifu2x - Image Super-Resolution for Anime-Style Art
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
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]