random model feature

multiple models to possibly load, choosing one at random

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2025 Eric W. Burns
+Copyright (c) 2024-2025 Eric Burns
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
@@ -18,4 +18,4 @@ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
+SOFTWARE.

nodes.py

@@ -6,6 +6,7 @@ import gc
 import torch
 import requests
 import time
+import random
 
 class EbuLMStudioLoadModel:
     ERROR_NO_MODEL_FOUND = "no model by that name found"
@@ -94,6 +95,13 @@ class EbuLMStudioLoadModel:
 
     def find_matching_model(self, search_term):
         try:
+            # Check if multiple search strings are provided and select one at random
+            if '|' in search_term:
+                search_options = [s.strip() for s in search_term.split('|') if s.strip()]
+                if search_options:
+                    search_term = random.choice(search_options)
+                    print(f"Multiple search strings provided. Randomly selected: '{search_term}'")
+
             print("Fetching model list...")
 
             # Run the 'lms ls --detailed' command to get available models

readme.md

@@ -31,7 +31,7 @@ A collection of custom nodes for ComfyUI that provide integration with LM Studio
 Unloads any loaded LLMs and then loads an LLM model into LM Studio with the following parameters:
 
 - `input_string`: Input text (passed through unchanged), serves to trigger the action
-- `model_search_string`: Part of the model name to search for (default: "llama"). Spaces are treated as wild cards. First matching LLM is loaded. So "nemo q5" will match "Mistral-Nemo-Instruct-2407-abliterated.Q5_K_M.gguf" for example.
+- `model_search_string`: Part of the model name to search for (default: "llama"). Spaces are treated as wild cards. First matching LLM is loaded. So "nemo q5" will match "Mistral-Nemo-Instruct-2407-abliterated.Q5_K_M.gguf" for example. You can have multiple searches separated by "|" and one will be chosen at random.
 - `context_length`: Model context length (default: 4096)
 - `seed`: Random seed to ensure that this runs on each request
 - `unload_image_models_first`: Whether to unload ComfyUI image models before loading LLM