aboutsummaryrefslogtreecommitdiff
path: root/modules/api/models.py
diff options
context:
space:
mode:
authorBruno Seoane <brunoseoaneamarillo@gmail.com>2022-10-26 09:50:26 -0300
committerBruno Seoane <brunoseoaneamarillo@gmail.com>2022-10-26 09:50:26 -0300
commit8320963dcbc80e9c4cdef6124cb3cf0d246badd8 (patch)
tree8bd83cc282d2bb1ba72a06128f817412c2605439 /modules/api/models.py
parent2267498a8cae303ae3badc4556c61c0e84cac6ec (diff)
parent99d728b5b18829c8a6b7b2d69c9b9327dd257896 (diff)
Merge branch 'master' of https://github.com/AUTOMATIC1111/stable-diffusion-webui
Diffstat (limited to 'modules/api/models.py')
-rw-r--r--modules/api/models.py8
1 files changed, 5 insertions, 3 deletions
diff --git a/modules/api/models.py b/modules/api/models.py
index 66d15765..00406368 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -31,6 +31,7 @@ class ModelDef(BaseModel):
field_alias: str
field_type: Any
field_value: Any
+ field_exclude: bool = False
class PydanticModelGenerator:
@@ -78,7 +79,8 @@ class PydanticModelGenerator:
field=underscore(fields["key"]),
field_alias=fields["key"],
field_type=fields["type"],
- field_value=fields["default"]))
+ field_value=fields["default"],
+ field_exclude=fields["exclude"] if "exclude" in fields else False))
def generate_model(self):
"""
@@ -86,7 +88,7 @@ class PydanticModelGenerator:
from the json and overrides provided at initialization
"""
fields = {
- d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias)) for d in self._model_def
+ d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias, exclude=d.field_exclude)) for d in self._model_def
}
DynamicModel = create_model(self._model_name, **fields)
DynamicModel.__config__.allow_population_by_field_name = True
@@ -102,7 +104,7 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
"StableDiffusionProcessingImg2Img",
StableDiffusionProcessingImg2Img,
- [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}]
+ [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}, {"key": "include_init_images", "type": bool, "default": False, "exclude" : True}]
).generate_model()
class TextToImageResponse(BaseModel):