diff --git a/CHANGELOG.md b/CHANGELOG.md
index 90351e7f4..50bc917f1 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -6,6 +6,9 @@
   - [FLUX.1-Krea-Dev](https://www.krea.ai/blog/flux-krea-open-source-release)  
     new 12B base model compatible with FLUX.1-Dev from Black Forest Labs with opinionated aesthetics and aesthetic preferences in mind  
     simply select in *networks -> models -> reference*  
+  - [Chroma](https://huggingface.co/lodestones/Chroma)  
+    update with latest **v48**, **v48 Detail Calibrated** and **v46 Flash** variants  
+    simply select in *networks -> models -> reference*  
 - **Feature**  
   - **Wan** select which stage to run: *first/second/both* with configurable *boundary ration* when running both stages  
     in settings -> model options  
@@ -29,6 +32,7 @@
   - fix progress bar with refine/detailer  
   - fix api progress reporting endpoint  
   - fix openvino backend failing to compile  
+  - fix nunchaku fallback on unsupported model  
   - avoid forced gc and rely on thresholds  
   - add missing interrogate in output panel  
 
diff --git a/html/reference.json b/html/reference.json
index 77f32fc31..4f21017ac 100644
--- a/html/reference.json
+++ b/html/reference.json
@@ -173,13 +173,27 @@
     "extras": "sampler: Default, cfg_scale: 4.5"
   },
 
-  "lodestones Chroma": {
-    "path": "lodestones/Chroma",
+  "lodestones Chroma Unlocked v48": {
+    "path": "vladmandic/chroma-unlocked-v48",
     "preview": "lodestones--Chroma.jpg",
     "desc": "Chroma is a 8.9B parameter model based on FLUX.1-schnell. It’s fully Apache 2.0 licensed, ensuring that anyone can use, modify, and build on top of it—no corporate gatekeeping. The model is still training right now, and I’d love to hear your thoughts! Your input and feedback are really appreciated.",
     "skip": true,
     "extras": "sampler: Default, cfg_scale: 3.5"
   },
+  "lodestones Chroma Unlocked v48 Detail Calibrated": {
+    "path": "vladmandic/chroma-unlocked-v48-detail-calibrated",
+    "preview": "lodestones--Chroma.jpg",
+    "desc": "Chroma is a 8.9B parameter model based on FLUX.1-schnell. It’s fully Apache 2.0 licensed, ensuring that anyone can use, modify, and build on top of it—no corporate gatekeeping. The model is still training right now, and I’d love to hear your thoughts! Your input and feedback are really appreciated.",
+    "skip": true,
+    "extras": "sampler: Default, cfg_scale: 3.5"
+  },
+  "lodestones Chroma Unlocked v48 Flash": {
+    "path": "vladmandic/chroma-unlocked-v46-flash",
+    "preview": "lodestones--Chroma.jpg",
+    "desc": "Chroma is a 8.9B parameter model based on FLUX.1-schnell. It’s fully Apache 2.0 licensed, ensuring that anyone can use, modify, and build on top of it—no corporate gatekeeping. The model is still training right now, and I’d love to hear your thoughts! Your input and feedback are really appreciated.",
+    "skip": true,
+    "extras": "sampler: Default, cfg_scale: 1.0"
+  },
 
   "Ostris Flex.2 Preview": {
     "path": "ostris/Flex.2-preview",
diff --git a/installer.py b/installer.py
index 5bf112e5c..3f0b1b7e8 100644
--- a/installer.py
+++ b/installer.py
@@ -1216,7 +1216,7 @@ def ensure_base_requirements():
         update_setuptools()
 
     # used by installler itself so must be installed before requirements
-    install('rich==14.0.0', 'rich', quiet=True)
+    install('rich==14.1.0', 'rich', quiet=True)
     install('psutil', 'psutil', quiet=True)
     install('requests==2.32.3', 'requests', quiet=True)
     ts('base', t_start)
diff --git a/pipelines/model_chroma.py b/pipelines/model_chroma.py
index ab8b28def..4964543ac 100644
--- a/pipelines/model_chroma.py
+++ b/pipelines/model_chroma.py
@@ -117,7 +117,7 @@ def load_quants(kwargs, repo_id, cache_dir, allow_quant): # pylint: disable=unus
             "cache_dir": cache_dir,
         }
         if 'transformer' not in kwargs and model_quant.check_nunchaku('Model'):
-            raise NotImplementedError('Nunchaku does not support Chroma Model yet. See https://github.com/mit-han-lab/nunchaku/issues/167')
+            shared.log.error(f'Load module: quant=Nunchaku module=transformer repo="{repo_id}" unsupported')
         if 'transformer' not in kwargs and model_quant.check_quant('Model'):
             load_args, quant_args = model_quant.get_dit_args(diffusers_load_config, module='Model', device_map=True, modules_to_not_convert=["distilled_guidance_layer"])
             kwargs['transformer'] = diffusers.ChromaTransformer2DModel.from_pretrained(repo_id, subfolder="transformer", **load_args, **quant_args)
diff --git a/requirements.txt b/requirements.txt
index 30b00f06d..c957ed21e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -31,7 +31,7 @@ invisible-watermark
 pi-heif
 
 # versioned
-rich==14.0.0
+rich==14.1.0
 safetensors==0.5.3
 tensordict==0.8.3
 peft==0.16.0