disco-diffusion VS artroom-stable-diffusion

Compare disco-diffusion vs artroom-stable-diffusion and see what are their differences.

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disco-diffusion artroom-stable-diffusion
22 8
7,474 218
0.0% 0.0%
0.0 0.0
over 1 year ago almost 2 years ago
Jupyter Notebook Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

disco-diffusion

Posts with mentions or reviews of disco-diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-23.

artroom-stable-diffusion

Posts with mentions or reviews of artroom-stable-diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-16.

What are some alternatives?

When comparing disco-diffusion and artroom-stable-diffusion you can also consider the following projects:

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

mindall-e - PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs

DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

dalle-mini - DALL·E Mini - Generate images from a text prompt

InvokeAI - Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.

big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

discoart - 🪩 Create Disco Diffusion artworks in one line

stable-diffusion - A latent text-to-image diffusion model

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Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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