diff --git a/modules/api/api.py b/modules/api/api.py
index 25c65e57..2657f98b 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -466,7 +466,7 @@ class Api:
             shared.state.end()
             return PreprocessResponse(info = 'preprocess error: {error}'.format(error = e))
 
-    def train_embedding(self, args: dict):
+    def train_embedding(self, args: TrainEmbeddingAPI):
         try:
             shared.state.begin()
             apply_optimizations = shared.opts.training_xattention_optimizations
@@ -475,7 +475,8 @@ class Api:
             if not apply_optimizations:
                 sd_hijack.undo_optimizations()
             try:
-                embedding, filename = train_embedding(**args) # can take a long time to complete
+                training_args = args.__dict__
+                embedding, filename = train_embedding(**training_args) # can take a long time to complete
             except Exception as e:
                 error = e
             finally:
diff --git a/modules/api/models.py b/modules/api/models.py
index 805bd8f7..ebf0d3c8 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -267,3 +267,85 @@ class EmbeddingsResponse(BaseModel):
 class MemoryResponse(BaseModel):
     ram: dict = Field(title="RAM", description="System memory stats")
     cuda: dict = Field(title="CUDA", description="nVidia CUDA memory stats")
+
+class TrainEmbeddingAPI(BaseModel):
+    id_task: str = Field(title="ID", description="ID Task")
+    embedding_name: str = Field(
+        title="Embedding Name", description="Name of the embedding"
+    )
+    learn_rate: float = Field(
+        title="Learning rate", description="Rate of learning", default=0.005
+    )
+    batch_size: int = Field(
+        title="Batch size",
+        description="How many images to create in a single batch",
+        default=1,
+    )
+    gradient_step: int = Field(
+        title="Gradient accumulation steps",
+        description="Number of steps to accumulate the gradient",
+        default=1,
+    )
+    data_root: str = Field(
+        title="Dataset directory", description="Path to the directory with input images"
+    )
+    log_directory: str = Field(
+        title="Log directory", description="", default="textual_inversion"
+    )
+    training_width: int = Field(title="Training width", description="", default=512)
+    training_height: int = Field(title="Training height", description="", default=512)
+    varsize: str = Field(title="", description="")
+    steps: int = Field(title="Max steps", description="")
+    clip_grad_mode: str = Field(
+        title="Gradient clipping", description="Gradient clip mode"
+    )
+    clip_grad_value: float = Field(title="", description="", default=0.1)
+    shuffle_tags: bool = Field(
+        title="Shuffle tags",
+        description="Shuffle tags by ',' when creating prompts",
+        default=False,
+    )
+    tag_drop_out: bool = Field(
+        title="Drop tags",
+        description="Drop out tags when creating prompts",
+        default=False,
+    )
+    latent_sampling_method: str = Field(
+        title="Latent sampling method", description="", default="once"
+    )
+    create_image_every: int = Field(
+        title="Create image every",
+        description="Save an image to the log directory every N steps, 0 to disable",
+        default=500,
+    )
+    save_embedding_every: int = Field(
+        title="Save embedding",
+        description="Save a copy of embedding to log directory every N steps, 0 to disable",
+        default=500,
+    )
+    template_filename: str = Field(
+        title="Prompt template",
+        description="Prompt template file",
+        default="style_filewords.txt",
+    )
+    save_image_with_stored_embedding: str = Field(
+        title="Save image with embedding",
+        description="Save images with embedding in PNG chunks",
+    )
+    preview_from_txt2img: bool = Field(
+        title="Preview from txt2img",
+        description="Read parameters (prompt, etc...) from txt2img tab when making previews",
+        default=False,
+    )
+    preview_prompt: str = Field(title="Preview prompt", description="")
+    preview_negative_prompt: str = Field(
+        title="Preview negative prompt", description=""
+    )
+    preview_steps: int = Field(title="Preview steps", description="", default=20)
+    preview_sampler_index: str = Field(
+        title="Preview sampler", description="", default="Euler"
+    )
+    preview_cfg_scale: float = Field(title="Preview CFG scale", description="")
+    preview_seed: float = Field(title="Preview seed", description="")
+    preview_width: int = Field(title="Preview width", description="")
+    preview_height: int = Field(title="Preview height", description="")