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author | AUTOMATIC1111 <16777216c@gmail.com> | 2024-01-01 13:39:51 +0000 |
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committer | GitHub <noreply@github.com> | 2024-01-01 13:39:51 +0000 |
commit | dfd64382211317cc46ad337c373492bfc420fa18 (patch) | |
tree | 3b1b2f5f3648da07430f54d1c155ce379a6fa3f7 /modules/api/models.py | |
parent | 3d15e58b0a30f2ef1e731f9e429f4d3cf1c259c5 (diff) | |
parent | 0ce67cb61806cf43f4d726d4705a4f6fdc2540e6 (diff) | |
download | stable-diffusion-webui-gfx803-dfd64382211317cc46ad337c373492bfc420fa18.tar.gz stable-diffusion-webui-gfx803-dfd64382211317cc46ad337c373492bfc420fa18.tar.bz2 stable-diffusion-webui-gfx803-dfd64382211317cc46ad337c373492bfc420fa18.zip |
Merge branch 'dev' into feat/interrupted-end
Diffstat (limited to 'modules/api/models.py')
-rw-r--r-- | modules/api/models.py | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/modules/api/models.py b/modules/api/models.py index a0d80af8..16edf11c 100644 --- a/modules/api/models.py +++ b/modules/api/models.py @@ -107,6 +107,8 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator( {"key": "send_images", "type": bool, "default": True}, {"key": "save_images", "type": bool, "default": False}, {"key": "alwayson_scripts", "type": dict, "default": {}}, + {"key": "force_task_id", "type": str, "default": None}, + {"key": "infotext", "type": str, "default": None}, ] ).generate_model() @@ -124,6 +126,8 @@ StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator( {"key": "send_images", "type": bool, "default": True}, {"key": "save_images", "type": bool, "default": False}, {"key": "alwayson_scripts", "type": dict, "default": {}}, + {"key": "force_task_id", "type": str, "default": None}, + {"key": "infotext", "type": str, "default": None}, ] ).generate_model() @@ -202,9 +206,6 @@ 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) |