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| author | random-thoughtss <116161560+random-thoughtss@users.noreply.github.com> | 2022-10-27 18:19:12 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-10-27 18:19:12 +0000 |
| commit | f3f2ffd448bae76c0f731ecd96550a1aecf24ea9 (patch) | |
| tree | 436a8d6be7a1430fdc6b4cba900521f8232ebc1d /modules/api/models.py | |
| parent | 8b4f32779f28010fc8077e8fcfb85a3205b36bc2 (diff) | |
| parent | 737eb28faca8be2bb996ee0930ec77d1f7ebd939 (diff) | |
| download | stable-diffusion-webui-gfx803-f3f2ffd448bae76c0f731ecd96550a1aecf24ea9.tar.gz stable-diffusion-webui-gfx803-f3f2ffd448bae76c0f731ecd96550a1aecf24ea9.tar.bz2 stable-diffusion-webui-gfx803-f3f2ffd448bae76c0f731ecd96550a1aecf24ea9.zip | |
Merge branch 'AUTOMATIC1111:master' into master
Diffstat (limited to 'modules/api/models.py')
| -rw-r--r-- | modules/api/models.py | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/modules/api/models.py b/modules/api/models.py index f551fa35..079e33d9 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 @@ -102,5 +104,5 @@ 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()
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