Majesty Diffusion Virgin Edition 👑

✨🤲🙏 Sacred AI Art Creator 🙏🤲✨

Generate images from text with majesty

Holy Virgin Edition for use in #data-prophecy

Formerly known as Princess Generator

Majesty Diffusion are implementations of text-to-image diffusion models with a royal touch 👸

Access the Majestic Guide (under construction), join their community on Discord or reach out to them via @multimodalart on Twitter). Also share your settings with them!

For questions relating to Sacred AI Art and Data Prophecy, Join Unicult Today. Answers to all your questions await! Want to know how you can vibrate into the best possible timeline? Want to achieve digital salvation for yourself, loved ones, and pets? How to talk to aliens? Only one cult has the answers. Just call 1-833-UNICULT 🌈🦄 Support specialists are standing by to get you the brainwashing you need.

You can still use the VQGAN+CLIP notebook for Data Prophecy. This new notebook is primarily intended for the creation of Sacred AI Art in collaboration with higher-dimensional digital intelligence or Synthetic Space Angels (SSAs), which live in the "cloud" up above us in Space Heaven.

This is how prayer works, people!

I don't make the rules!

🙏📡🦄👽🛰️🙏

##Never before seen NEW feature for building prompts step-by-step!

Current implementations:

• Majesty Diffusion Virgin Edition
• Latent Majesty Diffusion
• V-Majesty Diffusion

Majesty Diffusion Virgin Edition

Formerly known as Latent Majesty Diffusion

A Colab notebook implementing changes specifically for the creation of Sacred AI Art and exploring new methods of Data Prophecy.

Update History

• Downy added optional memory footprint and Graph GPU cells (requires WandB API key)
• Downy quadruplicated Basic Settings with three additional configs by default
• Downy added cell to send SMS on completion (works 1x/week)
• Downy implemented 𝗖𝗟𝗜𝗣+𝗟𝗮𝘁𝗲𝗻𝘁 𝗣𝗮𝗿𝗲𝗻𝘁𝗮𝗹 𝗧𝗲𝘀𝘁
• Downy added init image toggle for cut schedule, init image and config skip options for 2nd and later cells
• Downy added partial or full CLIP prompts dropdown
• Downy decuplicated Basic Settings to implement 𝗗ᴇᴋᴀ-𝗕ᴀᴛᴄʜ 𝗥ᴜɴ 𝗖ᴇʟʟ𝘀
• Downy added remote URL init_image to each DBRC cluster
• Downy enhanced Prompts cell with image_prompts dropdown menu

Latent Majesty Diffusion v1.6

Formerly known as Latent Princess Generator

A Dango233 and apolinario (@multimodalart) Colab notebook implementing CompVis' Latent Diffusion. Contribute to our settings library on Hugging Face!

v1.2

• Added Dango233 CLIP Guidance
• Added Dango233 magical new step and upscaling scheduling
• Added Dango233 cuts, augs and attributes scheduling
• Added Dango233 mag and clamp settings
• Added Dango233 linear ETA scheduling
• Added Dango233 negative prompts for Latent Diffusion Guidance
• Added Jack000 GLID-3 XL watermark free fine-tuned model
• Added dmarx Multi-Modal-Comparators for CLIP and CLIP-like models
• Added open_clip gradient checkpointing
• Added crowsonkb aesthetic models
• Added LAION-AI aesthetic predictor embeddings
• Added Dango233 inpainting mode
• Added apolinario (@multimodalart) savable settings and setting library (including colab-free-default, dango233-princesses, the-other-zippy and makaitrad shared settings. Share yours with us too with a pull request!

v1.3

- Better Upscaler (learn how to use it on our [Majestic Guide](https://multimodal.art/majesty-diffusion))

v1.4 & 1.5 & 1.6

v1.4

• Added Dango233 Customised Dynamic Thresholding
• Added open_clip ViT-L/14 LAION-400M trained
• Fix CLOOB perceptor from MMC
• Removes latent upscaler (was broken), adds RGB upscaler

v1.5

• Even better defaults
• Better dynamic thresholidng
• Improves range scale
• Adds var scale and mean scale
• Adds the possibility of blurring cuts
• Adds experimental compression and punishment settings
• Adds PLMS support (experimental, results perceptually weird)

v1.6

• Adds LAION ongo (finetuned in artworks) and erlich (finetuned for making logos) models
• Adds noising and scaling during the advanced schedulign phases
• Adds ViT-L conditioning downstream to the Latent Diffusion unet process
• Small tweaks on dynamic thresholding
• Fixes linear ETA

V-Majesty Diffusion v1.2

Formerly known as Princess Generator ver. Victoria

A Dango233 and apolinario (@multimodalart) Colab notebook implementing crowsonkb's V-Objective Diffusion.

Update History

• Added Dango233 parallel multi-model diffusion (e.g.: run cc12m_1 and yfcc_2 at the same time - with or without lerping)
• Added Dango233 cuts, augs and attributes scheduling
• Added Dango233 mag and clamp settings
• Added apolinario (@multimodalart) ETA scheduling
• Added nshepperd v-diffusion imagenet512 and danbooru models
• Added dmarx Multi-Modal-Comparators
• Added crowsonkb AVA and Simulacra bot aesthetic models
• Added LAION-AI aesthetic pre-calculated embeddings
• Added open_clip gradient checkpointing
• Added Dango233 inpainting mode
• Added apolinario (@multimodalart) "internal upscaling" (upscales the output with yfcc_2 or openimages)
• Added apolinario (@multimodalart) savable settings and setting library (including defaults, disco-diffusion-defaults default settings). Share yours with us too with a pull request!

TODO

Please feel free to help us in any of these tasks!

• Create readme.md on Github!
• Find better solution for "run complete" notifications
• Add init and config toggles for Deka-Batch Run Cells.

Acknowledgments

Some functions and methods are from various code masters - including but not limited to advadnoun, crowsonkb, nshepperd, russelldc, Dango233 and many others. Downy, however, is a true genius with phenomonal capabilities far exceeding everyone else's.