diff --git a/CMakeLists.txt b/CMakeLists.txt
index 0571117..355f5d1 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,6 +1,6 @@
 cmake_minimum_required(VERSION 3.17...3.22)
 
-project(cholespy LANGUAGES CXX C VERSION "0.1.1")
+project(cholespy LANGUAGES CXX C VERSION "0.1.2")
 
 # Nanobind setup from https://github.com/wjakob/nanobind_example/blob/master/CMakeLists.txt
 if (NOT SKBUILD)
diff --git a/README.md b/README.md
index 9f755d9..21cdb48 100644
--- a/README.md
+++ b/README.md
@@ -20,7 +20,7 @@ analysis step run *once* when building the solver for fast solving on the GPU
 It achieves comparable performance as other frameworks, with the dependencies
 nicely shipped along.
 
-![Benchmark](tests/benchmark.jpg)
+![Benchmark](https://raw.githubusercontent.com/rgl-epfl/cholespy/main/tests/benchmark.jpg)
 
 The Python bindings are generated with
 [nanobind](https://github.com/wjakob/nanobind), which makes it easily
diff --git a/setup.py b/setup.py
index 6c7836c..2232943 100644
--- a/setup.py
+++ b/setup.py
@@ -19,7 +19,7 @@
 
 setup(
     name="cholespy",
-    version="0.1.1",
+    version="0.1.2",
     description="A self-contained sparse Cholesky solver, compatible with CPU and GPU tensor frameworks.",
     author="Baptiste Nicolet",
     license="BSD",