update changelog and todo

Signed-off-by: vladmandic <mandic00@live.com>

CHANGELOG.md

@@ -4,9 +4,9 @@
 
 ### Highlights for 2026-02-04
 
-Refresh release two weeks after prior release, yet we still somehow managed to pack in ~140 commits with new features, models and fixes!  
+Refresh release two weeks after prior release, yet we still somehow managed to pack in *~150 commits*!  
 Highlights would be two new models: **Z-Image-Base** and **Anima**, *captioning* support for **tagger** models and a massive addition of new **schedulers**  
-For full list of changes, see full changelog  
+Also here are updates to `torch` and additional GPU archs support for `ROCm` backends, plus a lot of internal improvements and fixes.
 
 [ReadMe](https://github.com/vladmandic/automatic/blob/master/README.md) | [ChangeLog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [Docs](https://vladmandic.github.io/sdnext-docs/) | [WiKi](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867) | [Sponsor](https://github.com/sponsors/vladmandic)  
 

TODO.md

@@ -41,6 +41,12 @@
 
 TODO: Investigate which models are diffusers-compatible and prioritize!
 
+### Upscalers
+
+- [HQX](https://github.com/uier/py-hqx/blob/main/hqx.py)
+- [DCCI](https://every-algorithm.github.io/2024/11/06/directional_cubic_convolution_interpolation.html)
+- [ICBI](https://github.com/gyfastas/ICBI/blob/master/icbi.py)
+
 ### Image-Base
 - [Chroma Zeta](https://huggingface.co/lodestones/Zeta-Chroma): Image and video generator for creative effects and professional filters
 - [Chroma Radiance](https://huggingface.co/lodestones/Chroma1-Radiance): Pixel-space model eliminating VAE artifacts for high visual fidelity

cli/test-schedulers.py

@@ -252,11 +252,9 @@ def run_tests():
         DCSolverMultistepScheduler,
         BDIA_DDIMScheduler
     ]
-    for cls in extended_schedulers:
-        # Most of these support standard prediction types, try epsilon as default safest bet
-        # Some might be flow matching specific, we can try robust default list
-        # For now, just test default init
-        test_scheduler(cls.__name__, cls, {"prediction_type": "epsilon"})
+    for prediction_type in ["epsilon", "v_prediction", "sample"]:
+        for cls in extended_schedulers:
+            test_scheduler(cls.__name__, cls, {"prediction_type": prediction_type})
 
 if __name__ == "__main__":
     run_tests()