# FilippoMB/Diffusion\_models\_tutorial

<https://repo.masters-masters.com/en/repos/FilippoMB/Diffusion_models_tutorial>

[Home](https://repo.masters-masters.com/en) › [FilippoMB](https://repo.masters-masters.com/en/owners/FilippoMB) › [Diffusion\_models\_tutorial](https://repo.masters-masters.com/en/repos/FilippoMB/Diffusion_models_tutorial)

FilippoMB/Diffusion\_models\_tutorial has 187 stars on GitHub. Its RepoMasters card: Prototype tier. Collection of tutorials on diffusion models, step-by-step…

| Field | Value |
| --- | --- |
| Owner | [FilippoMB](https://repo.masters-masters.com/en/owners/FilippoMB) |
| Stars | 187 |
| Forks | 21 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | denoising-diffusion-probabilistic-models, diffusion-models, examples, tutorial, tutorial-code, diffusers, score-based-generative-models, generative-ai, image-generation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [FilippoMB/Diffusion\_models\_tutorial](https://github.com/FilippoMB/Diffusion_models_tutorial) |

## Repository

Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering guide, and resources for further learning.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by FilippoMB

- [FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing · ★ 431 · Python · Alpha](https://repo.masters-masters.com/en/repos/FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing)
- [FilippoMB/python-time-series-handbook · ★ 287 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/FilippoMB/python-time-series-handbook)
- [FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling)
- [FilippoMB/Ensemble-Conformalized-Quantile-Regression · ★ 104 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/FilippoMB/Ensemble-Conformalized-Quantile-Regression)

## Nearby in Jupyter Notebook

- [goodfire-ai/r1-interpretability · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/goodfire-ai/r1-interpretability)
- [BGI-HangzhouAI/Genos · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/BGI-HangzhouAI/Genos)
- [Square-Zero-Labs/Wan2GP-on-Colab · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/Square-Zero-Labs/Wan2GP-on-Colab)
- [jeff-regier/Celeste.jl · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/jeff-regier/Celeste.jl)
- [furas/python-examples · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/furas/python-examples)
- [jansenicus/www-coursera-downloader · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/jansenicus/www-coursera-downloader)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.