diff --git a/vignettes/estimate_response.Rmd b/vignettes/estimate_response.Rmd
index be0c682d..b0253d21 100644
--- a/vignettes/estimate_response.Rmd
+++ b/vignettes/estimate_response.Rmd
@@ -258,7 +258,7 @@ gganimate::animate(p)
 # anim_save("gganimate_figure.gif", gganimate::animate(p, width = 800, height = 500, type = "cairo"))
 
 if (knitr::is_html_output()) {
-  knitr::include_graphics("https://github.com/easystats/estimate/raw/master/man/figures/gganimate_figure.gif")
+  knitr::include_graphics("https://github.com/easystats/estimate/raw/main/man/figures/gganimate_figure.gif")
 } else {
   iris %>%
     ggplot(aes(x = Sepal.Length)) +
diff --git a/vignettes/modelisation_approach.Rmd b/vignettes/modelisation_approach.Rmd
index aaf05f22..3c410efa 100644
--- a/vignettes/modelisation_approach.Rmd
+++ b/vignettes/modelisation_approach.Rmd
@@ -47,7 +47,7 @@ linear models"* (aka, linear regressions). And thus, one can only wonder why
 these different tests have not been yet replaced by a unified model.
 
 ```{r echo=FALSE, fig.align='center', out.width="50%"}
-knitr::include_graphics("https://github.com/easystats/easystats/blob/master/hextools/modelbased/allregressions.png")
+knitr::include_graphics("https://github.com/easystats/easystats/raw/main/hextools/modelbased/allregressions.png")
 ```
 
 The tests mentioned above have major advantages. For instance, they are very easy to