AI · alternatives · 2026
24 alternatives to Modular Diffusion – A modular Python library for diffusion models
Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process…
Modular Diffusion is a Python library for designing and training diffusion models with a flexible, modular architecture. It allows researchers and developers to quickly prototype diffusion models by combining different… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Modular Diffusion – A modular Python library for diffusion models launched in 2023; newer entries below may have overtaken it.
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Lately a friend of mine has been working on a personal project and I wanted to share it. The goal of Diffulab is to provide a flexible and modular framework for training diffusion models from scratch. The project is still in its early stages, and he is actively working on adding new features and improvements.
2025 · github.com · its alternatives →
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I previously posted this a month and a half ago: https://news.ycombinator.com/item?id=45876742 I have rewritten it to be much more simple, from 951 lines of code to just 364, with no loss in core functionality or generation quality. I also added a tiny GPT implementation as a comparison (inspired by Andrej Karpathy's code). The two model implementations are ~80% identical, with the core differences being the generate and get_batch functions. The model architecture, training loop, etc, differ in only 19 lines of code. Trained weights are included, so you can just clone and run…
Nov 2025 · github.com · its alternatives →
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I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025! Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model): 1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output. 2. It uses these multiple outputs to approximate the target distribution of the training data. 3. These outputs together represent a discrete…
2025 · discrete-distribution-networks.github.io · its alternatives →
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Seed Diffusion▲158A faster, more holistic way to generate code
2025 · seed.bytedance.com · its alternatives →
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Hey everyone! Excited to be able to share the release of `InvokeAI 2.0 - A Stable Diffusion Toolkit`, an open source project that aims to provide both enthusiasts and professionals a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2). InvokeAI was one of the earliest forks off of the core CompVis repo (formerly lstein/stable-diffusion), and recently evolved into a full-fledged community driven and open source stable…
2022 · github.com · its alternatives →
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Trying to do gradient descent using automatic differentiation over branchy programs? Or to combine them with neural networks for end-to-end training? Then this might be interesting to you. We develped DiscoGrad, a tool for automatic differentiation through C++ programs involving input-dependent control flow (e.g., "if (f(x) < c) { ... }", differentiating wrt. x) and randomness. Our initial motivation was to enable the use of gradient descent with simulations, which often rely heavily on such discrete branching. The latter makes plain autodiff mostly useless, since it can only account for the…
2024 · github.com · its alternatives →
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- 8FS
Deploy and serve machine learnings models performantly, scalably, and cost-efficiently with Baseten.
2022 · app.baseten.co · its alternatives →
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An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow/core/distributed_runtime at master · tensorflow/tensorflow
2016 · github.com · its alternatives →
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Just small prototype showcasing diffusion models
2025 · github.com · its alternatives →
- 12TS
2022 · computerender.com · its alternatives →
- 13IL
Hey hn, this has been something I've been working on for the last few months and is finally robust enough to really show off. I've been pretty tired with the design outputs of LLMs for a while, and I've always thought diffusion offered much more creative / on brand design outputs, even before they were able to render text. I had enough conviction for this to leave my role over at Figma to build Diffui. The goal is to allow for you to design your full web app as quickly as possible, in a figma-like interface, and then hand that off to an agent to build. The page shows some interactive…
Jul 2026 · diffui.ai · its alternatives →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
- 15ND
2022 · orchid.gistnoesis.net · its alternatives →
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2024 · gitlab.com · its alternatives →
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stable diffusion training. Contribute to Jack000/glid-3-xl-stable development by creating an account on GitHub.
2022 · github.com · its alternatives →
- 18SD
2022 · healthydiffusion.com · its alternatives →
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Open-weights generative AI model for image synthesis
2024 · stability.ai · its alternatives →
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Design unique visuals with our Text to Image AI tool. Generate beautiful, custom images from your text prompts, with options for various styles.
2022 · getimg.ai · its alternatives →
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Comparison of different stable diffusion implementations and optimizations - fal-ai/stable-diffusion-benchmarks
2023 · github.com · its alternatives →
- 22
Everything that would be here is in the README. I hope this gets big, it has tons of potential.
2013 · github.com · its alternatives →
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Machine Learning library for Rust. Contribute to AtheMathmo/rusty-machine development by creating an account on GitHub.
2016 · github.com · its alternatives →
- 24
We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…
2024 · github.com · its alternatives →
Also compare
- Diffulab, a library to train diffusion models from scratch alternatives
- Tiny Diffusion – A character-level text diffusion model from scratch alternatives
- I invented a new generative model and got accepted to ICLR alternatives
- Seed Diffusion alternatives
- InvokeAI, an open source Stable Diffusion toolkit and WebUI alternatives
- Boldly go where Gradient Descent has never gone before with DiscoGrad alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →