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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 |
| 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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=diffuseR
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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