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Top 23 Jupyter Notebook diffusion-model Projects
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VAR
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation! (by FoundationVision)
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
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score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
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score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
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CrossAttentionControl
Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion
- Project mention: CosyVoice 2025 Complete Guide: The Ultimate Multi-lingual Text-to-Speech Solution | dev.to | 2025-12-15
Matcha-TTS - Flow Matching TTS
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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MultiDiffusion
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
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audio-diffusion
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
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Attend-and-Excite
Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)
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DiffusionFastForward
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
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semantic-draw
Official code for the CVPR 2025 paper "SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models."
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Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
[ECCV 2022] Compositional Generation using Diffusion Models
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Gen-L-Video
The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".
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Self-Attention-Guidance
Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023)
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favicon-diffusion
run diffusion models in the browser! webgpu hippo diffusion kernels in >2k lines of vanilla js
Project mention: Realtime WebGPU favicon diffusors (45% faster than tensorflow.js) | news.ycombinator.com | 2025-02-19Source: https://github.com/neelr/favicon-diffusion
Details on the kernel optimizations, training process, and browser-specific challenges in the blog post.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook diffusion-models discussion
Jupyter Notebook diffusion-models related posts
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SUPIR Full Tutorial + 1 Click 12GB VRAM Windows & RunPod / Linux Installer + Batch Upscale + Comparison With Magnific
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Magic123: One Image to High-Quality 3D Object Generation
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Like Diffusion but Faster: The Paella Model for Fast Image Generation
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Help with Composable-Diffusion
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Using Stable Diffusion's training method for Reverse engineering?
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Why does UniPC sampler use DDIM for Hires Fix?
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[Variational and Diffusion Methods] Minimal standalone example of diffusion model
- A note from our sponsor - InfluxDB www.influxdata.com | 23 Dec 2025
Index
What are some of the best open-source diffusion-model projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | VAR | 8,563 |
| 2 | mmagic | 7,305 |
| 3 | score_sde_pytorch | 2,009 |
| 4 | onediff | 1,954 |
| 5 | score_sde | 1,765 |
| 6 | CrossAttentionControl | 1,338 |
| 7 | Matcha-TTS | 1,201 |
| 8 | MultiDiffusion | 1,053 |
| 9 | diffae | 950 |
| 10 | audio-diffusion | 783 |
| 11 | Attend-and-Excite | 753 |
| 12 | Paella | 747 |
| 13 | stable-diffusion-aesthetic-gradients | 734 |
| 14 | DiffusionFastForward | 673 |
| 15 | blended-latent-diffusion | 625 |
| 16 | semantic-draw | 583 |
| 17 | Wuerstchen | 553 |
| 18 | PIDM | 500 |
| 19 | Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch | 484 |
| 20 | Gen-L-Video | 303 |
| 21 | Self-Attention-Guidance | 241 |
| 22 | diffusion_models | 163 |
| 23 | favicon-diffusion | 6 |