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-rw-r--r--modules/api/api.py21
-rw-r--r--modules/api/models.py10
2 files changed, 31 insertions, 0 deletions
diff --git a/modules/api/api.py b/modules/api/api.py
index 11daff0d..9c670f00 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -100,6 +100,7 @@ class Api:
self.add_api_route("/sdapi/v1/prompt-styles", self.get_prompt_styles, methods=["GET"], response_model=List[PromptStyleItem])
self.add_api_route("/sdapi/v1/artist-categories", self.get_artists_categories, methods=["GET"], response_model=List[str])
self.add_api_route("/sdapi/v1/artists", self.get_artists, methods=["GET"], response_model=List[ArtistItem])
+ self.add_api_route("/sdapi/v1/embeddings", self.get_embeddings, methods=["GET"], response_model=EmbeddingsResponse)
self.add_api_route("/sdapi/v1/refresh-checkpoints", self.refresh_checkpoints, methods=["POST"])
self.add_api_route("/sdapi/v1/create/embedding", self.create_embedding, methods=["POST"], response_model=CreateResponse)
self.add_api_route("/sdapi/v1/create/hypernetwork", self.create_hypernetwork, methods=["POST"], response_model=CreateResponse)
@@ -327,6 +328,26 @@ class Api:
def get_artists(self):
return [{"name":x[0], "score":x[1], "category":x[2]} for x in shared.artist_db.artists]
+ def get_embeddings(self):
+ db = sd_hijack.model_hijack.embedding_db
+
+ def convert_embedding(embedding):
+ return {
+ "step": embedding.step,
+ "sd_checkpoint": embedding.sd_checkpoint,
+ "sd_checkpoint_name": embedding.sd_checkpoint_name,
+ "shape": embedding.shape,
+ "vectors": embedding.vectors,
+ }
+
+ def convert_embeddings(embeddings):
+ return {embedding.name: convert_embedding(embedding) for embedding in embeddings.values()}
+
+ return {
+ "loaded": convert_embeddings(db.word_embeddings),
+ "skipped": convert_embeddings(db.skipped_embeddings),
+ }
+
def refresh_checkpoints(self):
shared.refresh_checkpoints()
diff --git a/modules/api/models.py b/modules/api/models.py
index c446ce7a..4a632c68 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -249,3 +249,13 @@ class ArtistItem(BaseModel):
score: float = Field(title="Score")
category: str = Field(title="Category")
+class EmbeddingItem(BaseModel):
+ step: Optional[int] = Field(title="Step", description="The number of steps that were used to train this embedding, if available")
+ sd_checkpoint: Optional[str] = Field(title="SD Checkpoint", description="The hash of the checkpoint this embedding was trained on, if available")
+ sd_checkpoint_name: Optional[str] = Field(title="SD Checkpoint Name", description="The name of the checkpoint this embedding was trained on, if available. Note that this is the name that was used by the trainer; for a stable identifier, use `sd_checkpoint` instead")
+ shape: int = Field(title="Shape", description="The length of each individual vector in the embedding")
+ vectors: int = Field(title="Vectors", description="The number of vectors in the embedding")
+
+class EmbeddingsResponse(BaseModel):
+ loaded: Dict[str, EmbeddingItem] = Field(title="Loaded", description="Embeddings loaded for the current model")
+ skipped: Dict[str, EmbeddingItem] = Field(title="Skipped", description="Embeddings skipped for the current model (likely due to architecture incompatibility)") \ No newline at end of file