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")
classEmbeddingsResponse(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)")