Update landing img

Author: stefanradev93

README.md

@@ -16,14 +16,18 @@ fueled by continuous progress in generative AI and Bayesian inference.
 
 ## Conceptual Overview
 
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+  <source media="(prefers-color-scheme: light)" srcset="./img/bayesflow_landing_light.jpg">
+  <img alt="dsd" src="./img/bayesflow_landing_dark.jpg">
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 A cornerstone idea of amortized Bayesian inference is to employ generative
 neural networks for parameter estimation, model comparison, and model validation
 when working with intractable simulators whose behavior as a whole is too
-complex to be described analytically. The figure below presents a higher-level
-overview of neurally bootstrapped Bayesian inference.
-
-<img src="https://github.com/bayesflow-org/bayesflow/blob/master/img/high_level_framework.png?raw=true" width=80% height=80%>
-
+complex to be described analytically.
 
 ## Disclaimer