APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product. Learn more →
Awesome-Diffusion-Models Alternatives
Similar projects and alternatives to Awesome-Diffusion-Models
-
-
AppSignal
Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
-
denoising-diffusion-pytorch
Discontinued Implementation of Denoising Diffusion Probabilistic Model in Pytorch [GET https://api.github.com/repos/lucidrains/denoising-diffusion-pytorch: 404 - Not Found // See: https://docs.github.com/rest]
-
CogView2
official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"
-
-
MiniLMs
A research project focused on studying and implementing minimalist language model architectures and resources for AI
-
MachineLearning-BaseballPrediction-BlazorApp
Machine Learning over historical baseball data using latest Microsoft AI & Development technology stack (.Net Core & Blazor)
-
-
Kargo
Stop Scripting Promotions. Start Shipping with Kargo. Kargo automates promotion across dev, staging, and prod with approval gates and verification. Open source, built by the team behind Argo CD. Download now.
-
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
2 Awesome-Diffusion-Models VS Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch[ECCV 2022] Compositional Generation using Diffusion Models
-
TernaryMoralLogic
I've always believed that the hardest problems in AI aren't technical; they're architectural. We keep building systems that can't explain themselves, can't prove their own integrity, can't handle uncertainty without either freezing or lying. And then we act surprised when we don't trust them.
-
Awesome-Diffusion-Models discussion
Awesome-Diffusion-Models reviews and mentions
-
Ask HN: How do you catch up to the research of LLMs/Transformers etc.?
3. https://github.com/diff-usion/Awesome-Diffusion-Models
-
Awesome-Diffusion-Models
GitHub repository that contains a collection of resources and papers on Diffusion Models: https://github.com/heejkoo/Awesome-Diffusion-Models
- GitHub - heejkoo/Awesome-Diffusion-Models: A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models
-
Wiskkey's lists of text-to-image systems and related resources
(Added Apr. 10, 2022) Awesome Diffusion Models.
-
[D] Introduction to Diffusion Models
I certainly should have looked for a lucidrains implementation, but I also found https://github.com/heejkoo/Awesome-Diffusion-Models which had some helpful links too.
-
A note from our sponsor - AppSignal
www.appsignal.com | 4 Sep 2026
Stats
diff-usion/Awesome-Diffusion-Models is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Awesome-Diffusion-Models is HTML.
Popular Comparisons
- Awesome-Diffusion-Models VS papers-I-read
- Awesome-Diffusion-Models VS MiniLMs
- Awesome-Diffusion-Models VS denoising-diffusion-pytorch
- Awesome-Diffusion-Models VS dalle-mini
- Awesome-Diffusion-Models VS MachineLearning-BaseballPrediction-BlazorApp
- Awesome-Diffusion-Models VS ML-University
- Awesome-Diffusion-Models VS Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
- Awesome-Diffusion-Models VS TernaryMoralLogic
- Awesome-Diffusion-Models VS CogView2
- Awesome-Diffusion-Models VS awesome-ebm