VQA class fix f-statement fix

modules/interrogate/vqa.py

@@ -193,6 +193,8 @@ def qwen(question: str, image: Image.Image, repo: str = None, system_prompt: str
             cls_name = transformers.Qwen2_5_VLForConditionalGeneration
         elif 'Qwen2-VL' in repo or 'Qwen2VL' in repo:
             cls_name = transformers.Qwen2VLForConditionalGeneration
+        else:
+            cls_name = transformers.AutoModelForCausalLM
         model = cls_name.from_pretrained(
             repo,
             torch_dtype=devices.dtype,

scripts/prompt_enhance.py

@@ -331,7 +331,7 @@ class Script(scripts_manager.Script):
 
                 if needs_rgb:
                     current_image = current_image.convert('RGB')
-                    debug_log(f'Prompt enhance: Converted image to RGB mode')
+                    debug_log('Prompt enhance: Converted image to RGB mode')
 
         has_system = system is not None and len(system) > 4
         mode = 'custom' if has_system else ''