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-rw-r--r--modules/api/api.py15
-rw-r--r--modules/api/models.py3
2 files changed, 0 insertions, 18 deletions
diff --git a/modules/api/api.py b/modules/api/api.py
index 09083874..b3d74e51 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -22,7 +22,6 @@ from modules.api import models
from modules.shared import opts
from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
from modules.textual_inversion.textual_inversion import create_embedding, train_embedding
-from modules.textual_inversion.preprocess import preprocess
from modules.hypernetworks.hypernetwork import create_hypernetwork, train_hypernetwork
from PIL import PngImagePlugin, Image
from modules.sd_models_config import find_checkpoint_config_near_filename
@@ -235,7 +234,6 @@ class Api:
self.add_api_route("/sdapi/v1/refresh-vae", self.refresh_vae, methods=["POST"])
self.add_api_route("/sdapi/v1/create/embedding", self.create_embedding, methods=["POST"], response_model=models.CreateResponse)
self.add_api_route("/sdapi/v1/create/hypernetwork", self.create_hypernetwork, methods=["POST"], response_model=models.CreateResponse)
- self.add_api_route("/sdapi/v1/preprocess", self.preprocess, methods=["POST"], response_model=models.PreprocessResponse)
self.add_api_route("/sdapi/v1/train/embedding", self.train_embedding, methods=["POST"], response_model=models.TrainResponse)
self.add_api_route("/sdapi/v1/train/hypernetwork", self.train_hypernetwork, methods=["POST"], response_model=models.TrainResponse)
self.add_api_route("/sdapi/v1/memory", self.get_memory, methods=["GET"], response_model=models.MemoryResponse)
@@ -675,19 +673,6 @@ class Api:
finally:
shared.state.end()
- def preprocess(self, args: dict):
- try:
- shared.state.begin(job="preprocess")
- preprocess(**args) # quick operation unless blip/booru interrogation is enabled
- shared.state.end()
- return models.PreprocessResponse(info='preprocess complete')
- except KeyError as e:
- return models.PreprocessResponse(info=f"preprocess error: invalid token: {e}")
- except Exception as e:
- return models.PreprocessResponse(info=f"preprocess error: {e}")
- finally:
- shared.state.end()
-
def train_embedding(self, args: dict):
try:
shared.state.begin(job="train_embedding")
diff --git a/modules/api/models.py b/modules/api/models.py
index a0d80af8..33894b3e 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -202,9 +202,6 @@ class TrainResponse(BaseModel):
class CreateResponse(BaseModel):
info: str = Field(title="Create info", description="Response string from create embedding or hypernetwork task.")
-class PreprocessResponse(BaseModel):
- info: str = Field(title="Preprocess info", description="Response string from preprocessing task.")
-
fields = {}
for key, metadata in opts.data_labels.items():
value = opts.data.get(key)