diff --git a/docs/source/al_description.rst b/docs/source/al_description.rst
index 4b3ce9859bfe69203c1c5cc42020faf83244c952..37eed69fae446ece4c6494616fcbc362149fb9c0 100644
--- a/docs/source/al_description.rst
+++ b/docs/source/al_description.rst
@@ -7,7 +7,7 @@ The relevant functions are contained in the class :any:`bayesvalidrox.surrogate_
.. warning::
Exploration with 'voronoi' is disabled for release v1.1.0!
-.. image:: ../diagrams/active_learning_reduced.png
+.. image:: ./docs/diagrams/active_learning_reduced.png
:width: 550
:alt: UML diagram for the classes and functions used in active learning in BayesValidRox.
diff --git a/docs/source/bayes_description.rst b/docs/source/bayes_description.rst
index 5017bceeaa28c0b2d4150bebb91437a959c9edd4..2c49ab2c653368fd215ae1c97c4b8b28cd30df89 100644
--- a/docs/source/bayes_description.rst
+++ b/docs/source/bayes_description.rst
@@ -19,7 +19,7 @@ Bayesian inference
.. container:: rightside
- .. image:: ../diagrams/bayesian_validation.png
+ .. image:: ./docs/diagrams/bayesian_validation.png
:width: 300
:alt: UML diagram for classes related to Bayesian inference.
@@ -115,11 +115,11 @@ For inference with MCMC, chain diagnostics are also written out in the console.
.. container:: rightside
- .. image:: ../../examples/user_guide/Outputs_Bayes_model_Calib/Posterior_Dist_model_emulator.pdf
+ .. image:: ./examples/user_guide/Outputs_Bayes_model_Calib/Posterior_Dist_model_emulator.pdf
:width: 400
:alt: Posterior distribution of the input parameter
- .. image:: ../../examples/user_guide/Outputs_Bayes_model_Calib/Post_Prior_Perd_model_emulator_A.pdf
+ .. image:: ./examples/user_guide/Outputs_Bayes_model_Calib/Post_Prior_Perd_model_emulator_A.pdf
:width: 400
:alt: Comparison of posterior prediction to the observation
\ No newline at end of file
diff --git a/docs/source/bmc_description.rst b/docs/source/bmc_description.rst
index 3ebd9d5250e3aee50bd1dd9fe9c9fb6845be6d15..78cc03d035d572dd81e914d806b77962e94a1810 100644
--- a/docs/source/bmc_description.rst
+++ b/docs/source/bmc_description.rst
@@ -10,7 +10,7 @@ Bayesian multi-model comparison
.. container:: rightside
- .. image:: ../diagrams/bayesian_model_comparison.png
+ .. image:: ./docs/diagrams/bayesian_model_comparison.png
:width: 400
:alt: UML diagram for classes related to Bayesian multi-model comparison.
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 8671dc83e43f77a6f5501c7f61e6a040eb5aa12a..bcf65d14c8c372a12d5838501a75bedc97552a1c 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -5,7 +5,7 @@ Surrogate-assisted Bayesian validation of computational models
==============================================================
**BayesValidRox** is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison.
-.. image:: ../diagrams/balance.png
+.. image:: ./docs/diagrams/balance.png
:width: 600
:alt: Weighting model results against data with associated uncertainty, costs and sparsity
diff --git a/docs/source/input_description.rst b/docs/source/input_description.rst
index ee506fc23487557fe054015d11cc5e09c0ab0bf2..04d4beedea4bdcc59fa04033a3f3b7de56ec8de1 100644
--- a/docs/source/input_description.rst
+++ b/docs/source/input_description.rst
@@ -18,7 +18,7 @@ This uncertainty can be described as probability distributions over possible val
.. container:: rightside
- .. image:: ../diagrams/input_classes.png
+ .. image:: ./docs/diagrams/input_classes.png
:width: 300
:alt: UML diagram for input-related classes in bayesvalidrox
@@ -76,6 +76,6 @@ The generated samples can be visualized against their marginal distributions.
The results will be saved in the folder ``Outputs_Priors``.
-.. image:: ../../examples/user_guide/Outputs_Priors/prior_$X$.png
+.. image:: ./examples/user_guide/Outputs_Priors/prior_$X$.png
:width: 400
:alt: Generated samples against their marginal distribution
diff --git a/docs/source/model_description.rst b/docs/source/model_description.rst
index 42103caa6f68cf7a71791f0317519f20c563aba0..a275d21f8d6ad0bd408166e2727ea593304b4557 100644
--- a/docs/source/model_description.rst
+++ b/docs/source/model_description.rst
@@ -13,7 +13,7 @@ Models
.. container:: rightside
- .. image:: ../diagrams/model.png
+ .. image:: ./docs/diagrams/model.png
:width: 150
:alt: UML diagram for the bayesvalidrox class :any:`bayesvalidrox.pylink.pylink.PyLinkForwardModel`.
diff --git a/docs/source/packagedescription.rst b/docs/source/packagedescription.rst
index 1d1fd65173851b1c5942f7da35568c2fd3e4c696..532c1e4cfc5db48bee0c31888e42ed2335a55387 100644
--- a/docs/source/packagedescription.rst
+++ b/docs/source/packagedescription.rst
@@ -34,7 +34,7 @@ Overview
This package is split into multiple aspects corresponding to its folder structure.
-.. image:: ../diagrams/folder_structure.png
+.. image:: ./docs/diagrams/folder_structure.png
:width: 600
:alt: Folder structure of **bayesvalidrox**
diff --git a/docs/source/post_description.rst b/docs/source/post_description.rst
index 987f18e7dbf8ea21cc987265bbbac7ac7a8d2ee1..1a636d681f34259d56da934b8296756aba50c653 100644
--- a/docs/source/post_description.rst
+++ b/docs/source/post_description.rst
@@ -12,7 +12,7 @@ Postprocessing
.. container:: rightside
- .. image:: ../diagrams/postprocessing.png
+ .. image:: ./docs/diagrams/postprocessing.png
:width: 300
:alt: UML diagram for the classes and functions used in active learning in BayesValidRox.
@@ -60,7 +60,7 @@ The visual comparison of model and metamodel results is saved in the folder ``Ou
.. container:: rightside
- .. image:: ../../examples/user_guide/Outputs_PostProcessing_calib/Model_vs_PCEModel_y_1.pdf
+ .. image:: ./examples/user_guide/Outputs_PostProcessing_calib/Model_vs_PCEModel_y_1.pdf
:width: 400
:alt: Visual comparison of model and metamodel outputs
\ No newline at end of file
diff --git a/docs/source/surrogate_description.rst b/docs/source/surrogate_description.rst
index 2a1da4b3fc230aa0fbb98369a5b00edb676a8088..cbf2d9dd76216a5a96d473d2829c30f3069fd521 100644
--- a/docs/source/surrogate_description.rst
+++ b/docs/source/surrogate_description.rst
@@ -8,7 +8,7 @@ We call this dataset the training data, with training samples :math:`(x_i)_{i=1,
BayesValidRox creates surrogate models as objects of the class :any:`bayesvalidrox.surrogate_models.surrogate_models.MetaModel`.
Training is performed by the class :any:`bayesvalidrox.surrogate_models.engine.Engine`.
-.. image:: ../diagrams/metamod_training_reduced.png
+.. image:: ./docs/diagrams/metamod_training_reduced.png
:width: 800
:alt: UML diagram for metamodel-related classes in bayesvalidrox