mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Merge branch 'master' of https://github.com/bamarillo/stable-diffusion-webui
This commit is contained in:
@@ -1,5 +1,5 @@
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from modules.api.processing import StableDiffusionProcessingAPI
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from modules.processing import StableDiffusionProcessingTxt2Img, process_images
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from modules.api.processing import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
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from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
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from modules.sd_samplers import all_samplers
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import modules.shared as shared
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import uvicorn
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@@ -37,6 +37,11 @@ def base64_to_images(base64Imgs: list[str]):
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imgs.append(img)
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return imgs
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class ImageToImageResponse(BaseModel):
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images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
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parameters: Json
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info: Json
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class Api:
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def __init__(self, app, queue_lock):
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@@ -44,10 +49,19 @@ class Api:
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self.app = app
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self.queue_lock = queue_lock
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self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"], response_model=TextToImageResponse)
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self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"])
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self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
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self.app.add_api_route("/sdapi/v1/extra-batch-image", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
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def text2imgapi(self, txt2imgreq: StableDiffusionProcessingAPI ):
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def __base64_to_image(self, base64_string):
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# if has a comma, deal with prefix
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if "," in base64_string:
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base64_string = base64_string.split(",")[1]
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imgdata = base64.b64decode(base64_string)
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# convert base64 to PIL image
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return Image.open(io.BytesIO(imgdata))
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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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if sampler_index is None:
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@@ -69,8 +83,51 @@ class Api:
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return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=json.dumps(processed.info))
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def img2imgapi(self):
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raise NotImplementedError
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def img2imgapi(self, img2imgreq: StableDiffusionImg2ImgProcessingAPI):
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sampler_index = sampler_to_index(img2imgreq.sampler_index)
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if sampler_index is None:
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raise HTTPException(status_code=404, detail="Sampler not found")
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init_images = img2imgreq.init_images
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if init_images is None:
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raise HTTPException(status_code=404, detail="Init image not found")
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mask = img2imgreq.mask
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if mask:
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mask = self.__base64_to_image(mask)
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populate = img2imgreq.copy(update={ # Override __init__ params
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"sd_model": shared.sd_model,
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"sampler_index": sampler_index[0],
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"do_not_save_samples": True,
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"do_not_save_grid": True,
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"mask": mask
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}
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)
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p = StableDiffusionProcessingImg2Img(**vars(populate))
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imgs = []
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for img in init_images:
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img = self.__base64_to_image(img)
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imgs = [img] * p.batch_size
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p.init_images = imgs
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# Override object param
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with self.queue_lock:
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processed = process_images(p)
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b64images = []
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for i in processed.images:
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buffer = io.BytesIO()
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i.save(buffer, format="png")
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b64images.append(base64.b64encode(buffer.getvalue()))
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return ImageToImageResponse(images=b64images, parameters=json.dumps(vars(img2imgreq)), info=json.dumps(processed.info))
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def extras_single_image_api(self, req: ExtrasSingleImageRequest):
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upscaler1Index = upscaler_to_index(req.upscaler_1)
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