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https://github.com/cruelpleasure/awesome-ARTificial
ARTificial Intelligence / Machine Learning Tools for (Visual) Artist and Designer.
https://github.com/cruelpleasure/awesome-ARTificial
List: awesome-ARTificial
Last synced: 16 days ago
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ARTificial Intelligence / Machine Learning Tools for (Visual) Artist and Designer.
- Host: GitHub
- URL: https://github.com/cruelpleasure/awesome-ARTificial
- Owner: cruelpleasure
- Created: 2022-09-14T05:31:24.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-11-14T17:26:04.000Z (about 2 years ago)
- Last Synced: 2024-11-20T10:56:41.476Z (about 1 month ago)
- Size: 315 KB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-ARTificial - ARTificial Intelligence / Machine Learning Tools for (Visual) Artist and Designer. (Other Lists / Monkey C Lists)
README
ARTificial - Creative tools, links, guides and more to Generate AI Art.
> WIP
### Contents
* [Resources](#resources)
* [Stable-Diffusion](#stable-diffusion)
* [Midjourney](#midjourney)
* [Useful Tools & Apps](#tools)
* [Other txt2img Tools](#other-txt2img)
* [Prompt Engineering](#prompt-engineering)
* [Animation](#animation)
* [Models & Training](#model-training)
* [Upscaling & Restoration](#upscale-restore)
* [Machine Learning](#machine-learning)
* [Coding](#coding)
* [Art](#art)
* [3D & VFX](#3d-vfx)
* [Awesome](#awesome)
* [Markdown](#markdown)
# Resources
- [pharmapsychotic-tools](https://pharmapsychotic.com/tools.html) - Tools and Resources for AI Art. ❤️
- [parrot zone](https://proximacentaurib.notion.site/proximacentaurib/parrot-zone-74a5c04d4feb4f12b52a41fc8750b205)
- [A comparison between 8 samplers](https://www.reddit.com/r/StableDiffusion/comments/xmwcrx/a_comparison_between_8_samplers_for_5_different/)
- [prompt-eng](https://github.com/sw-yx/prompt-eng) - notes for prompt engineering. ❤️
- [sdupdates](https://github.com/questianon/sdupdates) - News & SD Updates.
#### Youtube-Channels
- [Nerdy Rodent](https://www.youtube.com/c/NerdyRodent/videos)
- [Aitrepreneur](https://www.youtube.com/c/Aitrepreneur/videos)
- [Olivio Sarikas](https://www.youtube.com/c/OlivioSarikas/videos)
- [enigmatic_e](https://www.youtube.com/channel/UClSBolYONOzQjOzE4cMHfpw/videos)
- [Sebastian Kamph](https://www.youtube.com/channel/UCvKqTb-65iAmXK59sFNKINQ/videos)
# Stable-Diffusion
- [r/stable-diffusion](https://www.reddit.com/r/StableDiffusion/) - SD reddit
#### SD Colab Notebooks
* [Deforum 0.5](https://colab.research.google.com/github/deforum/stable-diffusion/blob/main/Deforum_Stable_Diffusion.ipynb) - Deforum Colab! [Discord](https://discord.com/invite/upmXXsrwZc)
#### SD Github Repo's (Local Install + Webui's)
- [AUTOMATIC1111 Webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) - Nice SD Webui with a lot functions. ❤️
- [Feature-Showcase](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features), [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki), [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts), [Xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), [Colab-Notebook-Akaibu](https://colab.research.google.com/drive/1kw3egmSn-KgWsikYvOMjJkVDsPLjEMzl)
- [InvokeAI](https://github.com/invoke-ai/InvokeAI) - (lstein) A Stable Diffusion Toolkit Webui. ❤️
- [discord](https://discord.gg/NwVCmKwY), [Doc & Tutorials](https://invoke-ai.github.io/InvokeAI/)
#### SD Artists
- [urania.ai](https://www.urania.ai/top-sd-artists) - Top SD Artists List.
- [list of artists for SD v1.4](https://rentry.org/artists_sd-v1-4)
- [SD Artists Collection](https://sgreens.notion.site/sgreens/4ca6f4e229e24da6845b6d49e6b08ae7?v=fdf861d1c65d456e98904fe3f3670bd3) - SGreen#2222 Notion-List.
- [Stable Diffusion Artist Style Studies](https://proximacentaurib.notion.site/e28a4f8d97724f14a784a538b8589e7d?v=42948fd8f45c4d47a0edfc4b78937474) - Notion-List from Parrot Zone.
# Midjourney
- [Midjourney Official](https://midjourney.com) - A reference containing Styles and Keywords that you can use with MidJourney AI.
- [User Manual](https://midjourney.gitbook.io/docs/user-manual)
- [willwulfken References](https://github.com/willwulfken/MidJourney-Styles-and-Keywords-Reference) - A reference containing Styles and Keywords that you can use with MidJourney AI.
# Useful Tools & Apps
- [Huggingface.co](https://huggingface.co/) - The AI community building the future.
- [haveibeentrained.com](https://haveibeentrained.com/) - Search 5.8 billion images used to train popular AI art models.
- [aiartists](https://aiartists.org/) - The world’s largest community of artists exploring Artificial Intelligence.
- [Meta AI](https://ai.facebook.com/) - Open source frameworks, tools, libraries, and models for everything.
#### Cloud computing
- [paperspace](https://www.paperspace.com/)
-[guide A1111@paperspace](https://proximacentaurib.notion.site/A-guide-to-getting-started-with-the-paperspace-port-of-AUTOMATIC1111-s-web-UI-for-ppl-who-get-nervou-b83c2213f17e452e8b0e37ba64fe9758)
# Other txt2img Tools
- [Imagen](https://imagen.research.google/) - A text-to-image diffusion model with an unprecedented degree of photorealism.
- [imagen-pytorch](https://github.com/lucidrains/imagen-pytorch) - Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch.
- [DALL·E 2](https://openai.com/dall-e-2/) - DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.
- [DALLE2-pytorch](https://github.com/lucidrains/DALLE2-pytorch) - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch.
# Prompt Engineering
- [promptbase](https://promptbase.com/) - DALL·E, GPT-3, Midjourney, Stable Diffusion Prompt Marketplace.
- [Best 100+ Stable Diffusion Prompts](https://mpost.io/best-100-stable-diffusion-prompts-the-most-beautiful-ai-text-to-image-prompts/)
#### Prompt & Image search engines
* [krea.ai](https://www.krea.ai/) - create better prompts.
* [lexica.art](https://lexica.art/) - The Stable Diffusion search engine.
* [libraire.ai](https://libraire.ai/) - The largest library of AI-generated images.
# Animation
- [7 Best Text-to-Video AI Generators: Powerful and Free](https://mpost.io/7-best-text-to-video-ai-generators-powerful-and-free/)
- [Thin-Plate Spline Motion Model](https://github.com/yoyo-nb/Thin-Plate-Spline-Motion-Model) - [CVPR2022] Thin-Plate Spline Motion Model for Image Animation.
- [make-a-video](https://github.com/lucidrains/make-a-video-pytorch) - Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch.
- [FILM](https://github.com/google-research/frame-interpolation) - FILM - Interpolation/Video.
- **[Imaginaire](https://github.com/NVlabs/imaginaire)** - Imaginaire is a [pytorch](https://pytorch.org/) library that contains optimized implementation of several image and video synthesis methods developed at [NVIDIA](https://www.nvidia.com/en-us/). [Docs](http://deepimagination.cc/) | [License](https://github.com/NVlabs/imaginaire/blob/master/LICENSE.md) | [Installation](https://github.com/NVlabs/imaginaire/blob/master/INSTALL.md) | [Model Zoo](https://github.com/NVlabs/imaginaire/blob/master/MODELZOO.md)
# Models & Training
- [birme img crop+resize 512](https://www.birme.net/?target_width=512&target_height=512)
#### Hypernetworks
- **[Hypernetwork Style Training, a tiny guide](https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/2670)**
- [Hypernetwork training for dummies](https://rentry.org/hypernetwork4dumdums)
#### Transformers
- **[transformers](https://github.com/huggingface/transformers)** - hugginface transformers.
- **[annotated_deep_learning_paper_implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations)** - 🧑🏫 59 Implementations/tutorials of deep learning papers.
- **[vit-pytorch](https://github.com/lucidrains/vit-pytorch)** - Implementation of Vision Transformer in Pytorch.
- [CVPR2022-Papers-with-Code](https://github.com/amusi/CVPR2022-Papers-with-Code)
- [gpt-neo](https://github.com/EleutherAI/gpt-neo)
- [tokenizers](https://github.com/huggingface/tokenizers)
- [x-transformers](https://github.com/lucidrains/x-transformers)
- **[adapter-transformers](https://github.com/adapter-hub/adapter-transformers)**
#### SD Training
- [k-diffusion](https://github.com/crowsonkb/k-diffusion) - An implementation of Elucidating the Design Space of Diffusion-Based Generative Models for PyTorch.
- [latent-diffusion](https://github.com/CompVis/latent-diffusion) - Latent Diffusion Models.
- [Model Zoo](https://github.com/CompVis/latent-diffusion#model-zoo)
#### AUTOMATIC1111 and Dreambooth diffusers!
- [ShivamShrirao/diffusers](https://github.com/ShivamShrirao/diffusers/tree/main/examples/dreambooth) - 10GB VRAM diffusers.
- [video](https://www.youtube.com/watch?v=w6PTviOCYQY&list=PLjC8P1vEncQDVOC1GgkT3chdyTSs0f9ZE&index=5)
- [StableDiffusion-WSL-Pastebin](https://pastebin.com/uE1WcSxD)
#### Diffusers to ckpt converters:
- [convert_diffusers_to_sd.py](https://gist.github.com/jachiam/8a5c0b607e38fcc585168b90c686eb05) - Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
- [convert_diffusers_to_sd](https://github.com/ratwithacompiler/diffusers_stablediff_conversion/blob/main/convert_diffusers_to_sd.py) - converts from huggingface diffusers StableDiffusionPipeline models to stablediffusion ckpt files.
- [Video guide](https://youtu.be/_e5ymV4zY3w) - Convert Diffusers Dreambooth Models for the AUTOMATIC1111 WebUI.
#### SD Models
- [Stable Diffusion Models](https://rentry.org/sdmodels) - List with all official Stable-Diffusion Models.
#### Other Models
- [Model-Database](https://upscale.wiki/wiki/Model_Database) - upscale.wiki Model Database.
- [Dataset-Database](https://upscale.wiki/wiki/Model_Database) - upscale.wiki Dataset Database - Datasets to train your models.
# Upscaling & Restoration
- [denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch) - Implementation of Denoising Diffusion Probabilistic Model in Pytorch.
- [GFPGAN](https://github.com/TencentARC/GFPGAN) - GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration.
- [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN/blob/master/docs/anime_video_model.md) - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
# Machine Learning
# Coding
# Art
#### References & Communities
- [artstation](https://www.artstation.com/) - My favorite place for inspiration. ❤️
- [behance](https://www.behance.net/) - Showcase your work. Find new inspiration, hand-picked just for you.
#### Educational Resources
- [OER - top200](https://www.was-ist-oer.de/top200/) - Open Educational Resources
# 3D & VFX
- **[/* ACADEMY SOFTWARE FOUNDATION](https://www.aswf.io/)** - Open Source Software for VFX, 3D, Film.. ❤️ [Interactive Landscape](https://landscape.aswf.io/)
- **[BlenderProc](https://github.com/DLR-RM/BlenderProc)** - A procedural Blender pipeline for photorealistic training image generation. [](https://colab.research.google.com/github/DLR-RM/BlenderProc/blob/main/examples/basics/basic/basic_example.ipynb)
- **[nvdiffrec](https://github.com/NVlabs/nvdiffrec)** - Official code CVPR 2022 paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
- **[instant-ngp](https://github.com/NVlabs/instant-ngp)** - Instant Neural Graphics Primitives
- **[tiny-cuda-nn](https://github.com/NVlabs/tiny-cuda-nn)** - Tiny CUDA Neural Networks - small, self-contained framework for training and querying neural networks.
- **[stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion)** - A pytorch implementation of the text-to-3D model Dreamfusion. [](https://colab.research.google.com/drive/1MXT3yfOFvO0ooKEfiUUvTKwUkrrlCHpF?usp=sharing).
- **[Meshroom](https://github.com/alicevision/Meshroom)** - is a free, open-source 3D Reconstruction Software based on [AliceVision](https://github.com/alicevision/AliceVision). [wiki](https://github.com/alicevision/meshroom/wiki)
- **[3D-Machine-Learning](https://github.com/timzhang642/3D-Machine-Learning)** -
- **[openMVG](https://github.com/openMVG/openMVG)** - open Multiple View Geometry. [](http://openmvg.readthedocs.org/en/latest), [wiki](https://github.com/openMVG/openMVG/wiki)
- **[MUNIT](https://github.com/NVlabs/MUNIT)** - Multimodal UNsupervised Image-to-image Translation
- **[disney-papers](https://disneyanimation.com/publications/?), [disney-datasets](https://disneyanimation.com/data-sets/)**
# Awesome
#### awesome-Lists
* [awesome-python](https://github.com/vinta/awesome-python)
* [awesome-python-data-science](https://github.com/krzjoa/awesome-python-data-science)
* [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)
* [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)
* [awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)
* [awesome-NeRF](https://github.com/yenchenlin/awesome-NeRF)
* **[awesome_3DReconstruction_list](https://github.com/openMVG/awesome_3DReconstruction_list)**
* [awesome-stable-diffusion](https://github.com/awesome-stable-diffusion/awesome-stable-diffusion)
#### awesome-Tools
* [pull_request_template.md](https://github.com/sindresorhus/awesome/blob/main/pull_request_template.md)
* [create-list.md](https://github.com/sindresorhus/awesome/blob/main/create-list.md)
* [awesome-lint](https://github.com/sindresorhus/awesome-lint)
# Markdown
- [pandoc](https://github.com/jgm/pandoc) - Universal markup converter
- [rentry](https://rentry.org/) - Markdown Pastebin.
- [LearnML](https://gitbook.gitbook.io/learn-markdown/) - Gitbook - Learn Markdown.
- [VS Code ML](https://marketplace.visualstudio.com/items?itemName=yzhang.markdown-all-in-one#table-of-contents) - VS Code ML Plugin. [Doc](https://code.visualstudio.com/docs/languages/markdown)
- [github ML](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax) - Writing and formatting on github.
- [emoji cheatsheet](https://github.com/ikatyang/emoji-cheat-sheet/blob/master/README.md) - emoji's on github.