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Merge pull request #2697 from Trojaner/api/ipadapters
Update FaceID api params
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+11
-2
@@ -264,7 +264,16 @@ class Api:
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def prepare_img_gen_request(self, request, img_gen_type: str):
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if hasattr(request, "face_id") and request.face_id and not request.script_name and (not request.alwayson_scripts or "FaceID" not in request.alwayson_scripts.keys()):
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request.script_name = "FaceID"
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request.script_args = [request.face_id.scale, request.face_id.image]
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request.script_args = [
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request.face_id.model,
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request.face_id.scale,
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request.face_id.image,
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request.face_id.override_sampler,
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request.face_id.rank,
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request.face_id.tokens,
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request.face_id.structure,
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request.face_id.cache_model
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]
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del request.face_id
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if hasattr(request, "ip_adapter") and request.ip_adapter and request.script_name != "IP Adapter" and (not request.alwayson_scripts or "IP Adapter" not in request.alwayson_scripts.keys()):
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@@ -284,7 +293,7 @@ class Api:
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for script_name in request.alwayson_scripts.keys():
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script_obj = request.alwayson_scripts[script_name]
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if "args" in script_obj and script_obj["args"]:
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if script_obj and "args" in script_obj and script_obj["args"]:
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self.sanitize_args(script_obj["args"])
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if hasattr(request, "script_args") and request.script_args:
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@@ -99,8 +99,14 @@ class IPAdapterItem(BaseModel):
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class FaceIDItem(BaseModel):
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model: str = Field(title="Model", default="FaceID Base",description="The FaceID model to use.")
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image: str = Field(title="Image", default="", description="Source face image, must be a base64 string containing the image's data.")
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scale: float = Field(title="Scale", default=0.5, gt=0, le=1, description="Scale of the source face, must be between 0 and 1.")
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scale: float = Field(title="Scale", default=1, gt=0, le=1, description="Scale of the source face, must be between 0 and 1.")
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structure: float = Field(title="Structure", default=1, gt=0, le=1, description="Structure to use, must be between 0 and 1.")
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rank: float = Field(title="Rank", default=128, ge=4, le=256, description="Rank to use, must be between 4 and 256.")
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override_sampler: bool = Field(title="Override Sampler", default=True, description="Should the sampler be overriden?")
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tokens: int = Field("Tokens", default=4, ge=1, le=16, description="Amount of tokens to use, must be between 1 and 16.")
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cache_model: bool = Field(title="Cache", default=True, description="Should the model be cached?")
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StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
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