diffusers dependencies

Diffusers is used in Python projects. State-of-the-art diffusion in PyTorch and JAX. It has 9 direct runtime dependencies. Check its dependency graph on PyDeps to understand the full transitive dependency tree, reverse dependents, known CVEs, and license compatibility before installing.

What is diffusers?

State-of-the-art diffusion in PyTorch and JAX.

What are the dependencies of diffusers?

diffusers declares 9 direct runtime dependencies on PyPI. Each one is resolved into the full dependency tree below:

diffusers transitive dependencies

Beyond its direct dependencies, diffusers can pull in further packages through its dependency tree. PyDeps resolves the entire chain from PyPI and deps.dev so you can see every transitive (nested) dependency of diffusers, expand any node on demand, and understand the full set of code that ships when you run pip install diffusers.

Does diffusers have known vulnerabilities (CVEs)?

PyDeps checks diffusers and every package in its dependency tree against the OSV vulnerability database in real time. For each CVE you can see the severity, the affected version ranges, and the first fixed version, so you know exactly which diffusers version is safe to install before you ship.

What license does diffusers use?

diffusers is distributed under the Apache 2.0 License. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole diffusers install, not just the top-level package.

How to install diffusers with all dependencies

Install from PyPI with pip install diffusers. For offline or air-gapped environments, PyDeps can download diffusers together with every resolved dependency as wheel files in a single bundle, matched to your target Python version and operating system.

Which packages depend on diffusers?

Switch to the dependents view to see the reverse dependencies of diffusers — the PyPI packages that list diffusers as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.

Packages related to diffusers

PyDeps