First read
huggingface/diffusers has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.
33.8K public stars in the current GitStar snapshot.
Recognizable in the ecosystem
Last commit Jun 13, 2026.
Fresh activity
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
Compare lens
huggingface/transformers and AUTOMATIC1111/stable-diffusion-webui are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.
Validation note
GitStar can summarize public signals for huggingface/diffusers, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines fresh update and stable visibility.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Shares the learning category footprint with huggingface/diffusers, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the learning category footprint with huggingface/diffusers, so the comparison is closer to a same-problem decision than a same-language coincidence.
Overlaps on topics such as pytorch and stable-diffusion, which makes it a stronger alternative than a random popularity neighbor.
Overlaps on topics such as pytorch, which makes it a stronger alternative than a random popularity neighbor.
GitStar picked transformers + stable-diffusion-webui as the closest next comparison from the related repository set.
[](https://gitstar.space/repo/huggingface/diffusers)<a href="https://gitstar.space/repo/huggingface/diffusers"><img src="https://gitstar.space/api/badge/huggingface/diffusers" alt="GitStar"></a>๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Stable Diffusion web UI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A high-throughput and memory-efficient inference and serving engine for LLMs
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ARIS โ๏ธ (Auto-Research-In-Sleep) โ Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in โ works with Claude Code, Codex, OpenClaw, or any LLM agent.
This page provides a quick overview of huggingface/diffusers based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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