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| author | Karun <karun.ellango7@gmail.com> | 2023-03-25 09:12:55 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-03-25 09:12:55 +0000 |
| commit | 63a2f8d8225228a52b3ca7f19d2ba1fd07a6234b (patch) | |
| tree | 9a7c38070d83b409895704125525dfc70cc21215 /modules/api/models.py | |
| parent | ca2b8faa83076a21dd14c974f03f88eb6da57485 (diff) | |
| parent | 70615448b2ef3285dba9bb1992974cb1eaf10995 (diff) | |
| download | stable-diffusion-webui-gfx803-63a2f8d8225228a52b3ca7f19d2ba1fd07a6234b.tar.gz stable-diffusion-webui-gfx803-63a2f8d8225228a52b3ca7f19d2ba1fd07a6234b.tar.bz2 stable-diffusion-webui-gfx803-63a2f8d8225228a52b3ca7f19d2ba1fd07a6234b.zip | |
Merge branch 'master' into master
Diffstat (limited to 'modules/api/models.py')
| -rw-r--r-- | modules/api/models.py | 30 |
1 files changed, 26 insertions, 4 deletions
diff --git a/modules/api/models.py b/modules/api/models.py index cba43d3b..4a70f440 100644 --- a/modules/api/models.py +++ b/modules/api/models.py @@ -14,8 +14,8 @@ API_NOT_ALLOWED = [ "outpath_samples", "outpath_grids", "sampler_index", - "do_not_save_samples", - "do_not_save_grid", + # "do_not_save_samples", + # "do_not_save_grid", "extra_generation_params", "overlay_images", "do_not_reload_embeddings", @@ -100,13 +100,31 @@ class PydanticModelGenerator: StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator( "StableDiffusionProcessingTxt2Img", StableDiffusionProcessingTxt2Img, - [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "script_name", "type": str, "default": None}, {"key": "script_args", "type": list, "default": []}] + [ + {"key": "sampler_index", "type": str, "default": "Euler"}, + {"key": "script_name", "type": str, "default": None}, + {"key": "script_args", "type": list, "default": []}, + {"key": "send_images", "type": bool, "default": True}, + {"key": "save_images", "type": bool, "default": False}, + {"key": "alwayson_scripts", "type": dict, "default": {}}, + ] ).generate_model() 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": "include_init_images", "type": bool, "default": False, "exclude" : True}, {"key": "script_name", "type": str, "default": None}, {"key": "script_args", "type": list, "default": []}] + [ + {"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}, + {"key": "script_name", "type": str, "default": None}, + {"key": "script_args", "type": list, "default": []}, + {"key": "send_images", "type": bool, "default": True}, + {"key": "save_images", "type": bool, "default": False}, + {"key": "alwayson_scripts", "type": dict, "default": {}}, + ] ).generate_model() class TextToImageResponse(BaseModel): @@ -267,3 +285,7 @@ class EmbeddingsResponse(BaseModel): class MemoryResponse(BaseModel): ram: dict = Field(title="RAM", description="System memory stats") cuda: dict = Field(title="CUDA", description="nVidia CUDA memory stats") + +class ScriptsList(BaseModel): + txt2img: list = Field(default=None,title="Txt2img", description="Titles of scripts (txt2img)") + img2img: list = Field(default=None,title="Img2img", description="Titles of scripts (img2img)")
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