ArcaneGAN
stable-diffusion
ArcaneGAN | stable-diffusion | |
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11 | 382 | |
652 | 65,504 | |
- | 1.1% | |
0.0 | 0.0 | |
4 months ago | 20 days ago | |
Jupyter Notebook | ||
MIT License | GNU General Public License v3.0 or later |
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ArcaneGAN
- Jedna za hredit. StableDiffusion + GFPGAN (rekonstrukcija lica) + ArcaneGAN (stilizirani izgled). Workflow u komentaru :)
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A bath in the swamp, StableDiffusion 1.4 + GFPGAN (face restoration) + ArcaneGAN (stylized look)
It's a GAN trained on shots from Netflix' Arcane animated series. You can download the model here.
- [NO SPOILERS] Voice actors in Arcane style
- I turned this old cellphone photo of my wife into a digital painting. The original photo was taken on our vacation in Italy, almost 20 years ago, with a Sony Ericsson K310. StableDiffusion + ArcaneGAN.
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Is there a AI which is able to edit images to make them look drawn?
Here are some models that do that with face images that I have tried out: AnimeGANv3 - this one just came out ArcaneGAN - for faces JoJoGAN - for faces
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ArcaneGAN: Face Portrait to Arcane Style
github: https://github.com/Sxela/ArcaneGAN
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Found a neural network that transforms portraits into Arcane style. If Joey won't watch Arcane, I'll put him IN it.
Source code: ArcaneGAN by Alex Spirin
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[P] ArcaneGAN: face portrait to Arcane style
It's not mine, as I've stated in this comment. My repo is here - https://github.com/Sxela/ArcaneGAN
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Candidatos presidenciales como personajes de Arcane
Generé estas imágenes utilizando ArcaneGAN, creada por Alex Spirin.
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?
AnimeGANv3 - Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
toonify
diffusers-uncensored - Uncensored fork of diffusers
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
stable-diffusion-webui - Stable Diffusion web UI
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
onnx - Open standard for machine learning interoperability
fast-stable-diffusion - fast-stable-diffusion + DreamBooth