excessive legend size causes "Viewport has zero dimension(s)" error

Summary

When the legend is too large and ggrepel is used, the following obtuse error text is produced:

Error in grid.Call(C_convert, x, as.integer(whatfrom), as.integer(whatto), : Viewport has zero dimension(s)

Minimal code example

Here is the minimum amount of code needed to demonstrate the issue:

library(ggplot2)
library(ggrepel)
library(ggplot2movies)
ggplot(movies[1:300,], aes(y = year, x = length, color = factor(title))) +
  geom_point() +
  geom_text_repel(aes(label = title))

Suggestions

Improve the wording of the error message to indicate that the legend is too large.

A legend this large is useless, and hiding it fixes the problem.

library(ggplot2movies)
ggplot(movies[1:300,], aes(y = year, x = length, color = factor(title))) +
  geom_point() +
  geom_text_repel(aes(label = title)) + 
  theme(legend.position="none")

Version information

Here is the output from sessionInfo() in my R session:

R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.2

Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] ggrepel_0.8.0       ggplot2_3.0.0       ggplot2movies_0.0.1 lmerTest_3.0-1      lme4_1.1-17        
[6] Matrix_1.2-14      

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.17      compiler_3.5.0    pillar_1.2.3      nloptr_1.0.4      plyr_1.8.4       
 [6] bindr_0.1.1       tools_3.5.0       digest_0.6.15     tibble_1.4.2      gtable_0.2.0     
[11] nlme_3.1-137      lattice_0.20-35   pkgconfig_2.0.1   rlang_0.2.1       yaml_2.1.19      
[16] mvtnorm_1.0-8     bindrcpp_0.2.2    coda_0.19-1       withr_2.1.2       dplyr_0.7.5      
[21] lsmeans_2.27-62   tidyselect_0.2.4  grid_3.5.0        glue_1.2.0        R6_2.2.2         
[26] survival_2.41-3   multcomp_1.4-8    TH.data_1.0-8     minqa_1.2.4       purrr_0.2.5      
[31] magrittr_1.5      scales_0.5.0      codetools_0.2-15  MASS_7.3-49       splines_3.5.0    
[36] assertthat_0.2.0  xtable_1.8-2      colorspace_1.3-2  numDeriv_2016.8-1 labeling_0.3     
[41] sandwich_2.4-0    estimability_1.3  lazyeval_0.2.1    munsell_0.5.0     zoo_1.8-2