diff --git a/CHANGELOG.md b/CHANGELOG.md
index d48bce68d..db8625033 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -81,6 +81,8 @@
     allows for using many different guidance methods:  
     *CFG, CFGZero, PAG, APG, SLG, SEG, TCFG, FDG*  
 - **Fixes**
+  - **Microsoft Florence 2** both base and large variants  
+    *note* this will trigger download of the new variant of the model, feel free to delete older variant in `huggingface` folder  
   - ui: fix image metadata display when switching selected image in control tab  
   - framepack: add explicit hf-login before framepack load  
   - framepack: patch solver for unsupported gpus  
diff --git a/extensions-builtin/sdnext-modernui b/extensions-builtin/sdnext-modernui
index d034f611d..e56b4f695 160000
--- a/extensions-builtin/sdnext-modernui
+++ b/extensions-builtin/sdnext-modernui
@@ -1 +1 @@
-Subproject commit d034f611df9931d87059a8256a2c77cc82f8e11c
+Subproject commit e56b4f69549e6654c953346082ff3947256c9636
diff --git a/modules/interrogate/vqa.py b/modules/interrogate/vqa.py
index 578c96093..5518ff803 100644
--- a/modules/interrogate/vqa.py
+++ b/modules/interrogate/vqa.py
@@ -27,8 +27,10 @@ vlm_models = {
     "Apple FastVLM 0.5B": "apple/FastVLM-0.5B",
     "Apple FastVLM 1.5B": "apple/FastVLM-1.5B",
     "Apple FastVLM 7B": "apple/FastVLM-7B",
-    "Microsoft Florence 2 Base": "microsoft/Florence-2-base-ft", # 0.5GB
-    "Microsoft Florence 2 Large": "microsoft/Florence-2-large-ft", # 1.5GB
+    # "Microsoft Florence 2 Base": "microsoft/Florence-2-base-ft", # 0.5GB
+    # "Microsoft Florence 2 Large": "microsoft/Florence-2-large-ft", # 1.5GB
+    "Microsoft Florence 2 Base": "florence-community/Florence-2-base-ft", # 0.5GB
+    "Microsoft Florence 2 Large": "florence-community/Florence-2-large-ft", # 1.5GB
     "MiaoshouAI PromptGen 1.5 Base": "MiaoshouAI/Florence-2-base-PromptGen-v1.5@c06a5f02cc6071a5d65ee5d294cf3732d3097540", # 1.1GB
     "MiaoshouAI PromptGen 1.5 Large": "MiaoshouAI/Florence-2-large-PromptGen-v1.5@28a42440e39c9c32b83f7ae74ec2b3d1540404f0", # 3.3GB
     "MiaoshouAI PromptGen 2.0 Base": "MiaoshouAI/Florence-2-base-PromptGen-v2.0", # 1.1GB
@@ -354,7 +356,6 @@ def smol(question: str, image: Image.Image, repo: str = None, system_prompt: str
             repo,
             cache_dir=shared.opts.hfcache_dir,
             torch_dtype=devices.dtype,
-            _attn_implementation="eager",
             **quant_args,
             )
         processor = transformers.AutoProcessor.from_pretrained(repo, cache_dir=shared.opts.hfcache_dir)
@@ -536,6 +537,7 @@ def florence(question: str, image: Image.Image, repo: str = None, revision: str
         shared.log.debug(f'Interrogate load: vlm="{repo}" path="{shared.opts.hfcache_dir}"')
         transformers.dynamic_module_utils.get_imports = get_imports
         model = None
+        """
         model = transformers.AutoModelForCausalLM.from_pretrained(
             repo,
             trust_remote_code=True,
@@ -544,6 +546,15 @@ def florence(question: str, image: Image.Image, repo: str = None, revision: str
             cache_dir=shared.opts.hfcache_dir,
             **quant_args,
         )
+        """
+        model = transformers.Florence2ForConditionalGeneration.from_pretrained(
+            repo,
+            dtype=torch.bfloat16,
+            revision=revision,
+            torch_dtype=devices.dtype,
+            cache_dir=shared.opts.hfcache_dir,
+            **quant_args,
+        )
         processor = transformers.AutoProcessor.from_pretrained(repo, trust_remote_code=True, revision=revision, cache_dir=shared.opts.hfcache_dir)
         transformers.dynamic_module_utils.get_imports = _get_imports
         loaded = repo
diff --git a/scripts/prompt_enhance.py b/scripts/prompt_enhance.py
index aea0e5730..221d815dc 100644
--- a/scripts/prompt_enhance.py
+++ b/scripts/prompt_enhance.py
@@ -159,7 +159,7 @@ class Script(scripts_manager.Script):
                 trust_remote_code=True,
                 torch_dtype=devices.dtype,
                 cache_dir=shared.opts.hfcache_dir,
-                _attn_implementation="eager",
+                # _attn_implementation="eager",
                 **gguf_args,
                 **quant_args,
             )