diffuseR: Functional Interface to Diffusion Models in R
A native R implementation of diffusion models providing a
functional interface to state-of-the-art generative AI. Inspired by the
'Python' library 'diffusers' from 'Hugging Face'
<https://huggingface.co/>, 'diffuseR' generates and manipulates images
from text prompts using models such as 'Stable Diffusion', with no
'Python' dependency. Supports multiple diffusion schedulers and device
acceleration.
| Version: |
0.2.2 |
| Imports: |
torch, jsonlite, grid, png, jpeg |
| Suggests: |
av, hfhub, safetensors, simplermarkdown, tinytest |
| Published: |
2026-08-08 |
| DOI: |
10.32614/CRAN.package.diffuseR (may not be active yet) |
| Author: |
Troy Hernandez 
[aut, cre],
cornball.ai [cph],
The HuggingFace Team [cph] (portions ported from the diffusers library
(Apache-2.0); see inst/COPYRIGHTS),
Lightricks Ltd. [cph] (LTX checkpoint layout and pipeline constants;
see inst/COPYRIGHTS) |
| Maintainer: |
Troy Hernandez <troy at cornball.ai> |
| BugReports: |
https://github.com/cornball-ai/diffuseR/issues |
| License: |
Apache License (≥ 2) |
| Copyright: |
see file COPYRIGHTS |
| URL: |
https://github.com/cornball-ai/diffuseR |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
diffuseR results |
Documentation:
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