dalle-mini
stable-diffusion


dalle-mini | stable-diffusion | |
---|---|---|
3,451 | 387 | |
14,782 | 69,545 | |
0.2% | 0.9% | |
5.2 | 0.0 | |
over 1 year ago | 8 months ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dalle-mini
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Top 3 Open-Source AI Image Generation Projects on GitHub
DALL-E Mini is an open-source alternative to OpenAI’s DALL-E, capable of generating images from textual inputs. Project URL: DALL-E Mini on GitHub
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Getting Started with AWS Landing Zone: Tips for Terraform Setup
Craiyon
- Show HN: Which Animal Shares Your Body Fat Percentage?
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I Tested Over 70 AI Image Services for SEO. These Actually Work
Craiyon: Formerly known as DALL-E Mini, this tool quickly generates images from text prompts and is accessible for casual users.
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Mini-Gemini: Mining the Potential of Multi-Modality Vision Language Models
Mini-Gemini is a bit of a confusing name.
Reminds me of how DALL·E Mini came out three years ago and eventually had to rename itself to Craiyon https://github.com/borisdayma/dalle-mini
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New Baby Kitten, what should i Name her?
I wouldnt consider Craiyon to be high tier equipment
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Annual meatball harvest in southern Italy. Mamma mia. 👌🤌
Made with : https://www.craiyon.com/
- Taylor Swift holding up a novel and reading it aloud in a beautiful library while standing behind a lectern #craiyon
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AI Eevee
AI Site
- Ai art The Thing
stable-diffusion
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Janus Pro 1B running 100% locally in-browser on WebGPU
> 860M UNet and 123M text encoder
Yep! Less than 1B in total. [0]
[0] https://github.com/CompVis/stable-diffusion/blob/main/README...
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Top 3 Open-Source AI Image Generation Projects on GitHub
Stable Diffusion, developed by Stability AI, is a robust text-to-image generation model designed to create high-quality, creative images based on textual prompts. Project URL: Stable Diffusion on GitHub
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Deploying AI Models with Amazon Web Services: A Practical Guide
Stable Diffusion (GitHub Repository)
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The Path to StyleGan2 – Progressive Growing GAN
Latent diffusion models operate in katent space. This space is generated by an encoder and decoded back into pixel space by a decoder. The encoder-decoder form a generator which is trained to have good visual quality through the use of an adversarial loss.
So the encoder produces a latent space that is more efficient to train a diffusion model on, since diffusion models use Unet-like architecture that must be run many times for a single inference. The latent space is restricted by a KL penalty to a Gaussian shape such that any sample from that shape will map through the decoder to a high-quality image. This makes the generative job of the diffusion model much easier because it can focus on content and semantics rather than pixel-level details
You can see the two optimisers at work in the AutoencoderKL class in the Stable Diffusion source code here: https://github.com/CompVis/stable-diffusion/blob/main/ldm/mo...
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Top 7 Text-to-Image Generative AI Models
Stable Diffusion: It is based on a kind of diffusion model called a latent diffusion model, which is trained to remove noise from images in an iterative process. It is one of the first text-to-image models that can run on consumer hardware and has its code and model weights publicly available.
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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
What are some alternatives?
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
dalle-2-preview
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]

