Use the read_info_from_image function directly
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8149078094
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@ -11,10 +11,10 @@ from fastapi.security import HTTPBasic, HTTPBasicCredentials
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from secrets import compare_digest
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import modules.shared as shared
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from modules import sd_samplers, deepbooru, sd_hijack
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from modules import sd_samplers, deepbooru, sd_hijack, images
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from modules.api.models import *
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from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
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from modules.extras import run_extras, run_pnginfo
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from modules.extras import run_extras
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from modules.textual_inversion.textual_inversion import create_embedding, train_embedding
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from modules.textual_inversion.preprocess import preprocess
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from modules.hypernetworks.hypernetwork import create_hypernetwork, train_hypernetwork
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@ -233,9 +233,17 @@ class Api:
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if(not req.image.strip()):
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return PNGInfoResponse(info="")
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result = run_pnginfo(decode_base64_to_image(req.image.strip()))
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image = decode_base64_to_image(req.image.strip())
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if image is None:
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return PNGInfoResponse(info="")
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return PNGInfoResponse(info=result[1])
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geninfo, items = images.read_info_from_image(image)
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if geninfo is None:
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geninfo = ""
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items = {**{'parameters': geninfo}, **items}
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return PNGInfoResponse(info=geninfo, items=items)
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def progressapi(self, req: ProgressRequest = Depends()):
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# copy from check_progress_call of ui.py
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@ -157,7 +157,8 @@ class PNGInfoRequest(BaseModel):
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image: str = Field(title="Image", description="The base64 encoded PNG image")
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class PNGInfoResponse(BaseModel):
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info: str = Field(title="Image info", description="A string with all the info the image had")
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info: str = Field(title="Image info", description="A string with the parameters used to generate the image")
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items: dict = Field(title="Items", description="An object containing all the info the image had")
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class ProgressRequest(BaseModel):
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skip_current_image: bool = Field(default=False, title="Skip current image", description="Skip current image serialization")
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@ -258,4 +259,4 @@ class EmbeddingItem(BaseModel):
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class EmbeddingsResponse(BaseModel):
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loaded: Dict[str, EmbeddingItem] = Field(title="Loaded", description="Embeddings loaded for the current model")
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skipped: Dict[str, EmbeddingItem] = Field(title="Skipped", description="Embeddings skipped for the current model (likely due to architecture incompatibility)")
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skipped: Dict[str, EmbeddingItem] = Field(title="Skipped", description="Embeddings skipped for the current model (likely due to architecture incompatibility)")
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