add: /sdapi/v1/scripts in API
API for get scripts list
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@ -150,6 +150,7 @@ class Api:
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self.add_api_route("/sdapi/v1/train/embedding", self.train_embedding, methods=["POST"], response_model=TrainResponse)
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self.add_api_route("/sdapi/v1/train/hypernetwork", self.train_hypernetwork, methods=["POST"], response_model=TrainResponse)
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self.add_api_route("/sdapi/v1/memory", self.get_memory, methods=["GET"], response_model=MemoryResponse)
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self.add_api_route("/sdapi/v1/scripts", self.get_scripts_list, methods=["GET"], response_model=ScriptsList)
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def add_api_route(self, path: str, endpoint, **kwargs):
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if shared.cmd_opts.api_auth:
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@ -175,6 +176,18 @@ class Api:
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script = script_runner.selectable_scripts[script_idx]
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return script, script_idx
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def get_scripts_list(self):
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t2ilist = []
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i2ilist = []
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for a in scripts.scripts_txt2img.titles:
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t2ilist.append(str(a.lower()))
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for b in scripts.scripts_img2img.titles:
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i2ilist.append(str(b.lower()))
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return ScriptsList(txt2img = t2ilist, img2img = i2ilist)
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def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
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script, script_idx = self.get_script(txt2imgreq.script_name, scripts.scripts_txt2img)
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@ -267,3 +267,7 @@ class EmbeddingsResponse(BaseModel):
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class MemoryResponse(BaseModel):
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ram: dict = Field(title="RAM", description="System memory stats")
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cuda: dict = Field(title="CUDA", description="nVidia CUDA memory stats")
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class ScriptsList(BaseModel):
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txt2img: list = Field(default=None,title="Txt2img", description="Titles of scripts (txt2img)")
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img2img: list = Field(default=None,title="Img2img", description="Titles of scripts (img2img)")
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