metaseq VS dalle-mini

Compare metaseq vs dalle-mini and see what are their differences.

metaseq

Repo for external large-scale work (by facebookresearch)

dalle-mini

DALL·E Mini - Generate images from a text prompt (by borisdayma)
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metaseq dalle-mini
53 3,446
6,389 14,645
0.4% -
6.2 5.2
10 days ago 6 months ago
Python Python
MIT License Apache License 2.0
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.

metaseq

Posts with mentions or reviews of metaseq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-06.

dalle-mini

Posts with mentions or reviews of dalle-mini. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-31.

What are some alternatives?

When comparing metaseq and dalle-mini you can also consider the following projects:

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

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

nlp-resume-parser - NLP-powered, GPT-3 enabled Resume Parser from PDF to JSON.

dalle-2-preview

GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

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

gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"

manim - Animation engine for explanatory math videos

dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text

cupscale - Image Upscaling GUI based on ESRGAN

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement