diff --git a/api/onnx_web/models/meta.py b/api/onnx_web/models/meta.py
index dcd43c25..453e24b2 100644
--- a/api/onnx_web/models/meta.py
+++ b/api/onnx_web/models/meta.py
@@ -1,18 +1,21 @@
-from typing import Literal
+from typing import List, Literal
 
 NetworkType = Literal["inversion", "lora"]
 
 
 class NetworkModel:
     name: str
+    tokens: List[str]
     type: NetworkType
 
-    def __init__(self, name: str, type: NetworkType) -> None:
+    def __init__(self, name: str, type: NetworkType, tokens = None) -> None:
         self.name = name
+        self.tokens = tokens or []
         self.type = type
 
     def tojson(self):
         return {
             "name": self.name,
+            "tokens": self.tokens,
             "type": self.type,
         }
diff --git a/api/onnx_web/server/load.py b/api/onnx_web/server/load.py
index a3759ff6..fa8f009b 100644
--- a/api/onnx_web/server/load.py
+++ b/api/onnx_web/server/load.py
@@ -96,6 +96,7 @@ wildcard_data: Dict[str, List[str]] = defaultdict(list)
 # Loaded from extra_models
 extra_hashes: Dict[str, str] = {}
 extra_strings: Dict[str, Any] = {}
+extra_tokens: Dict[str, List[str]] = {}
 
 
 def get_config_params():
@@ -160,6 +161,7 @@ def load_extras(server: ServerContext):
     """
     global extra_hashes
     global extra_strings
+    global extra_tokens
 
     labels = {}
     strings = {}
@@ -210,6 +212,10 @@ def load_extras(server: ServerContext):
                                 else:
                                     labels[model_name] = model["label"]
 
+                            if "tokens" in model:
+                                logger.debug("collecting tokens for model %s from %s", model_name, file)
+                                extra_tokens[model_name] = model["tokens"]
+
                             if "inversions" in model:
                                 for inversion in model["inversions"]:
                                     if "label" in inversion:
@@ -353,7 +359,7 @@ def load_models(server: ServerContext) -> None:
     )
     logger.debug("loaded Textual Inversion models from disk: %s", inversion_models)
     network_models.extend(
-        [NetworkModel(model, "inversion") for model in inversion_models]
+        [NetworkModel(model, "inversion", tokens=extra_tokens.get(model, [])) for model in inversion_models]
     )
 
     lora_models = list_model_globs(
@@ -364,7 +370,7 @@ def load_models(server: ServerContext) -> None:
         base_path=path.join(server.model_path, "lora"),
     )
     logger.debug("loaded LoRA models from disk: %s", lora_models)
-    network_models.extend([NetworkModel(model, "lora") for model in lora_models])
+    network_models.extend([NetworkModel(model, "lora", tokens=extra_tokens.get(model, [])) for model in lora_models])
 
 
 def load_params(server: ServerContext) -> None:
diff --git a/gui/src/components/input/PromptInput.tsx b/gui/src/components/input/PromptInput.tsx
index 2d8c8413..fa6a7aba 100644
--- a/gui/src/components/input/PromptInput.tsx
+++ b/gui/src/components/input/PromptInput.tsx
@@ -1,4 +1,4 @@
-import { Maybe, doesExist, mustExist } from '@apextoaster/js-utils';
+import { Maybe, doesExist, mustDefault, mustExist } from '@apextoaster/js-utils';
 import { Chip, TextField } from '@mui/material';
 import { Stack } from '@mui/system';
 import { useQuery } from '@tanstack/react-query';
@@ -120,7 +120,7 @@ export function PromptInput(props: PromptInputProps) {
   </Stack>;
 }
 
-export const ANY_TOKEN = /<([^>])+>/g;
+export const ANY_TOKEN = /<([^>]+)>/g;
 
 export type TokenList = Array<[string, number]>;
 
@@ -167,10 +167,10 @@ export function getNetworkTokens(models: Maybe<ModelResponse>, networks: PromptN
       }
     }
 
-    for (const [name, weight] of networks.inversion) {
+    for (const [name, weight] of networks.lora) {
       const model = models.networks.find((it) => it.type === 'lora' && it.name === name);
       if (doesExist(model) && model.type === 'lora') {
-        for (const token of model.tokens) {
+        for (const token of mustDefault(model.tokens, [])) {
           tokens.push([token, weight]);
         }
       }