first-order-model
stable-diffusion
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first-order-model | stable-diffusion | |
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53 | 382 | |
14,197 | 65,389 | |
- | 2.2% | |
3.9 | 0.0 | |
5 months ago | 14 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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first-order-model
- Is it possible to sync a lip and facial expression animation with audio in real time?
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Tools For AI Animation and Filmmaking , Community Rules, ect. (**FAQ**)
First Order Motion Model/Thin Plate Spline (Animate Single images realistically using a driving video) https://github.com/AliaksandrSiarohin/first-order-model (FOMM - Animate still images using driving videos) https://github.com/yoyo-nb/Thin-Plate-Spline-Motion-Model (Thin Plate Spline - Likely just a repost of FOMM but with better documentation and tutorials on YouTube) https://drive.google.com/drive/folders/1PyQJmkdCsAkOYwUyaj_l-l0as-iLDgeH (FOMM/Thin Plate Checkpoints) https://disk.yandex.com/d/lEw8uRm140L_eQ (FOMM/Thin Plate Checkpoints mirror) -------3D ANIMATION--------
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Help from Community [Development]
GitHub - AliaksandrSiarohin/first-order-model: This repository contains the source code for the paper First Order Motion Model for Image Animation
- Deepfakes in High-Resolution Created From a Single Photo
- d-id.com is an awesome AI tool to animate any character into a video and add human-like, yet artificial, voice-overs !
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[meme] Richard Stallman but an AI made him sing
Not sure about whatever bot op is specifically using, but you can use this software to achieve the same result https://github.com/AliaksandrSiarohin/first-order-model
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Retro personal computer ads from the 1980s
I think the novel and interesting tech is still happening, its just that without the colorful ads for it on TV, and without the software being packaged up and sold with pretty box art that you can physically hold, it doesn't feel as much like a capital-E Experience. It's probably the Internet's fault that we don't do things like that anymore, but the upside is that we now have access to so many ideas and applications from all over, even ones that aren't commercially viable.
Some that look exciting to me are: an AI that lets you animate still photos realistically [1], a simple website that guides you to discover new parks, eateries, and other places near you [2], an AI that colorizes old black-and-white photos/video [3], a Street View style map of the game world from "The Legend of Zelda: Breath of the Wild", with some 1st person 360 degree photos [4], and a tiny game engine that lets you distribute your whole game physically via printed QR codes [5].
If marketing and graphic design people ever felt like getting together to do some 'side projects', I vote that they should make print ads for apps/websites that they like :)
[1] https://github.com/AliaksandrSiarohin/first-order-model
[2] https://randomlocation.xyz (https://randomlocation.xyz/help.txt for customization)
[3] https://github.com/jantic/DeOldify
[4] https://nassimsoftware.github.io/zeldabotwstreetview/
[5] https://github.com/kesiev/rewtro
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Joanna Lopez Talking
Ai Used https://github.com/AliaksandrSiarohin/first-order-model
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Reconstruct a face from multiple old photos of the same person? At different ages?
First Order Model
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Text to lips on photo
First Order Motion Model (Easy): You can give it an input image and a source video, and the movements from the video will be copied to the image. It has some janky-ness and I would recommend using an ai upscaller afterwards because the resolution isn't that high https://github.com/AliaksandrSiarohin/first-order-model
stable-diffusion
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Go is bigger than crab!
Which is a 1-click install of Stable Diffusion with an alternative web interface. You can choose a different approach but this one is pretty simple and I am new to this stuff.
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Why & How to check Invisible Watermark
an invisible watermarking of the outputs, to help viewers identify the images as machine-generated.
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How to create an Image generating AI?
It sounds like you just want to set up Stable Diffusion to run locally. I don't think your computer's specs will be able to do it. You need a graphics card with a decent amount of VRAM. Stable diffusion is in Python as is almost every AI open source project I've seen. If you can get your hands on a system with an Nvidia RTX card with as much VRAM as possible, you're in business. I have an RTX 3060 with 12 gigs of VRAM and I can run stable diffusion and a whole variety of open source LLMs as well as other projects like face swap, Roop, tortoise TTS, sadtalker, etc...
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Two video cards...one dedicated to Stable Diffusion...the other for everything else on my PC?
Use specific GPU on multi GPU systems · Issue #87 · CompVis/stable-diffusion · GitHub
- Automatic1111 - Multiple GPUs
- Ist Google inzwischen einfach unbrauchbar?
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Why are people so against compensation for artists?
I dealt with this in one of my posts. At least SD 1.1 till 1.5 are all trained on a batch size of 2048. The version pretty much everyone uses (1.5) is first pretrained at a resolution of 256x256 for 237K steps on laion2B-en, at the end of those training steps it will have seen roughly 500M images in laion2B-en. After that it is pre-trained for 194K steps on laion-high-resolution at a resolution of 512x512, which is a subset of 170M images from laion5B. Finally it is trained for 1.110K steps on LAION aesthetic v2 5+. This is easily verified by taking a glance at the model card of SD 1.5. Though that one doesn't specify for part of the training exactly which aesthetic set was used for part of the training, for that you have to look at the CompVis github repo. Thus at the end of it all both the most recent images and the majority of images will have come from LAION aesthetic v2 5+ (seeing every image approx 4 times). Realistically a lot of the weights obtained from pretraining on 2B will have been lost, and only provided a good starting point for the weights.
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Is SDXL really open-source?
stable diffusion · CompVis/stable-diffusion@2ff270f · GitHub
- I want to ask the AI to draw me as a Pokemon anime character then draw six of Pokemon of my choice next to me. What are my best free, 15$ or under and 30$ or under choices?
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how can i create my own ai image model
Here for example --> https://github.com/CompVis/stable-diffusion
What are some alternatives?
Thin-Plate-Spline-Motion-Model - [CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Wav2Lip - This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
SimSwap - An arbitrary face-swapping framework on images and videos with one single trained model!
diffusers-uncensored - Uncensored fork of diffusers
avatarify - Avatars for Zoom, Skype and other video-conferencing apps.
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
articulated-animation - Code for Motion Representations for Articulated Animation paper
onnx - Open standard for machine learning interoperability