feat: dispatch autogalaxy visualizers via fit_for_visualization

Closes #389.

- imaging/model/visualizer.py — both single-analysis visualize() and
  visualize_combined() multi-analysis path
- interferometer/model/visualizer.py — single-analysis visualize()

PyAutoLens made the same swap in #443 (2026-04-19) when
use_jax_for_visualization landed in autofit. PyAutoGalaxy got matching
pytree registration for FitImaging (#364) and FitInterferometer (#376)
but the dispatch call sites were never swapped, leaving
use_jax_for_visualization=True a silent no-op on autogalaxy. This PR
fixes that.

Safe for the NumPy default path: fit_for_visualization falls back to
fit_from whenever use_jax_for_visualization=False.

Author: Jammy2211

autogalaxy/imaging/model/visualizer.py

@@ -76,7 +76,7 @@ def visualize(
             An instance of the model that is being fitted to the data by this analysis (whose parameters have been set
             via a non-linear search).
         """
-        fit = analysis.fit_from(instance=instance)
+        fit = analysis.fit_for_visualization(instance=instance)
 
         plotter = PlotterImaging(
             image_path=paths.image_path, title_prefix=analysis.title_prefix
@@ -173,7 +173,7 @@ def visualize_combined(
         )
 
         fit_list = [
-            analysis.fit_from(instance=single_instance)
+            analysis.fit_for_visualization(instance=single_instance)
             for analysis, single_instance in zip(analyses, instance)
         ]
 

autogalaxy/interferometer/model/visualizer.py

@@ -78,7 +78,7 @@ def visualize(
             An instance of the model that is being fitted to the data by this analysis (whose parameters have been set
             via a non-linear search).
         """
-        fit = analysis.fit_from(instance=instance)
+        fit = analysis.fit_for_visualization(instance=instance)
 
         plotter = PlotterInterferometer(
             image_path=paths.image_path, title_prefix=analysis.title_prefix