add prompt enhance wiki

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

CHANGELOG.md

@@ -68,12 +68,15 @@ Plus...
     load using *settings -> text encoder*  
     *tip*: add *sd_text_encoder* to your *settings -> user interface -> quicksettings* list to have it appear at the top of the ui  
 - **Prompt Enhance**  
+  - see [Prompt Enhance Wiki](https://github.com/vladmandic/sdnext/wiki/Prompt-Enhance) for details!  
   - new built-in extension available in text/image/control tabs  
   - can be used to manually or automatically enhance prompts using LLM  
   - built-in presets for **Gemma-3, Qwen-2.5, Phi-4, Llama-3.2, SmolLM2, Dolphin-3**  
   - support for custom models  
     load any models hosted on huggingface  
     load either model in huggingface format or `gguf` format  
+    *note*: any hf model in `transformers.AutoModelForCausalLM` standard should work  
+    *note*: not all model architecture are supported for `gguf` format  
   - models are auto-downloaded on first use  
   - support quantization and offloading  
 - **Acceleration**  

modules/lora/extra_networks_lora.py

@@ -6,7 +6,7 @@ from modules.lora import networks, network_overrides
 from modules import extra_networks, shared, sd_models
 
 
-debug = os.environ.get('SD_SCRIPT_DEBUG', None) is not None
+debug = os.environ.get('SD_LORA_DEBUG', None) is not None
 debug_log = shared.log.trace if debug else lambda *args, **kwargs: None
 
 
@@ -26,6 +26,7 @@ def get_stepwise(param, step, steps): # from https://github.com/cheald/sd-webui-
             if m[1][-1] <= 1.0:
                 step = step / (max_steps - step_offset) if max_steps > 0 else 1.0
             v = np.interp(step, m[1], m[0])
+            debug_log(f"Network load: type=LoRA step={step} steps={max_steps} v={v}")
             return v
         else:
             return m

scripts/prompt_enhance.py

@@ -22,6 +22,7 @@ class Options:
         'meta-llama/Llama-3.2-3B-Instruct': {},
         'cognitivecomputations/Dolphin3.0-Llama3.2-1B': {},
         'cognitivecomputations/Dolphin3.0-Llama3.2-3B': {},
+        'nidum/Nidum-Gemma-3-4B-it-Uncensored': {},
         'mradermacher/Llama-3.2-1B-Instruct-Uncensored-i1-GGUF': {
             'repo': 'meta-llama/Llama-3.2-1B-Instruct', # original repo so we can load missing components
             'type': 'llama', # required so gguf loader knows what to do