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clean
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@ -42,9 +42,6 @@ class Api:
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# convert base64 to PIL image
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return Image.open(io.BytesIO(imgdata))
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def __processed_info_to_json(self, processed):
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return json.dumps(processed.info)
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def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
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sampler_index = sampler_to_index(txt2imgreq.sampler_index)
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@ -116,7 +113,6 @@ class Api:
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b64images.append(base64.b64encode(buffer.getvalue()))
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if (not img2imgreq.include_init_images):
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# remove img2imgreq.init_images and img2imgreq.mask
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img2imgreq.init_images = None
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img2imgreq.mask = None
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@ -69,7 +69,7 @@ class PydanticModelGenerator:
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field=underscore(k),
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field_alias=k,
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field_type=field_type_generator(k, v),
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field_value=v.default,
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field_value=v.default
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)
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for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
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]
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