import time import uvicorn from gradio.processing_utils import encode_pil_to_base64, decode_base64_to_file, decode_base64_to_image from fastapi import APIRouter, Depends, HTTPException import modules.shared as shared from modules import devices from modules.api.models import * from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images from modules.sd_samplers import all_samplers from modules.extras import run_extras, run_pnginfo def upscaler_to_index(name: str): try: return [x.name.lower() for x in shared.sd_upscalers].index(name.lower()) except: raise HTTPException(status_code=400, detail=f"Invalid upscaler, needs to be on of these: {' , '.join([x.name for x in sd_upscalers])}") sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None) def setUpscalers(req: dict): reqDict = vars(req) reqDict['extras_upscaler_1'] = upscaler_to_index(req.upscaler_1) reqDict['extras_upscaler_2'] = upscaler_to_index(req.upscaler_2) reqDict.pop('upscaler_1') reqDict.pop('upscaler_2') return reqDict class Api: def __init__(self, app, queue_lock): self.router = APIRouter() self.app = app self.queue_lock = queue_lock self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"], response_model=TextToImageResponse) self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"], response_model=ImageToImageResponse) self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse) self.app.add_api_route("/sdapi/v1/extra-batch-images", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse) self.app.add_api_route("/sdapi/v1/png-info", self.pnginfoapi, methods=["POST"], response_model=PNGInfoResponse) self.app.add_api_route("/sdapi/v1/progress", self.progressapi, methods=["GET"], response_model=ProgressResponse) self.app.add_api_route("/sdapi/v1/interrogate", self.interrogateapi, methods=["POST"]) def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI): sampler_index = sampler_to_index(txt2imgreq.sampler_index) if sampler_index is None: raise HTTPException(status_code=404, detail="Sampler not found") populate = txt2imgreq.copy(update={ # Override __init__ params "sd_model": shared.sd_model, "sampler_index": sampler_index[0], "do_not_save_samples": True, "do_not_save_grid": True } ) p = StableDiffusionProcessingTxt2Img(**vars(populate)) # Override object param shared.state.begin() with self.queue_lock: processed = process_images(p) shared.state.end() b64images = list(map(encode_pil_to_base64, processed.images)) return TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.js()) def img2imgapi(self, img2imgreq: StableDiffusionImg2ImgProcessingAPI): sampler_index = sampler_to_index(img2imgreq.sampler_index) if sampler_index is None: raise HTTPException(status_code=404, detail="Sampler not found") init_images = img2imgreq.init_images if init_images is None: raise HTTPException(status_code=404, detail="Init image not found") mask = img2imgreq.mask if mask: mask = decode_base64_to_image(mask) populate = img2imgreq.copy(update={ # Override __init__ params "sd_model": shared.sd_model, "sampler_index": sampler_index[0], "do_not_save_samples": True, "do_not_save_grid": True, "mask": mask } ) p = StableDiffusionProcessingImg2Img(**vars(populate)) imgs = [] for img in init_images: img = decode_base64_to_image(img) imgs = [img] * p.batch_size p.init_images = imgs shared.state.begin() with self.queue_lock: processed = process_images(p) shared.state.end() b64images = list(map(encode_pil_to_base64, processed.images)) if (not img2imgreq.include_init_images): img2imgreq.init_images = None img2imgreq.mask = None return ImageToImageResponse(images=b64images, parameters=vars(img2imgreq), info=processed.js()) def extras_single_image_api(self, req: ExtrasSingleImageRequest): reqDict = setUpscalers(req) reqDict['image'] = decode_base64_to_image(reqDict['image']) with self.queue_lock: result = run_extras(extras_mode=0, image_folder="", input_dir="", output_dir="", **reqDict) return ExtrasSingleImageResponse(image=encode_pil_to_base64(result[0][0]), html_info=result[1]) def extras_batch_images_api(self, req: ExtrasBatchImagesRequest): reqDict = setUpscalers(req) def prepareFiles(file): file = decode_base64_to_file(file.data, file_path=file.name) file.orig_name = file.name return file reqDict['image_folder'] = list(map(prepareFiles, reqDict['imageList'])) reqDict.pop('imageList') with self.queue_lock: result = run_extras(extras_mode=1, image="", input_dir="", output_dir="", **reqDict) return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info=result[1]) def pnginfoapi(self, req: PNGInfoRequest): if(not req.image.strip()): return PNGInfoResponse(info="") result = run_pnginfo(decode_base64_to_image(req.image.strip())) return PNGInfoResponse(info=result[1]) def progressapi(self, req: ProgressRequest = Depends()): # copy from check_progress_call of ui.py if shared.state.job_count == 0: return ProgressResponse(progress=0, eta_relative=0, state=shared.state.dict()) # avoid dividing zero progress = 0.01 if shared.state.job_count > 0: progress += shared.state.job_no / shared.state.job_count if shared.state.sampling_steps > 0: progress += 1 / shared.state.job_count * shared.state.sampling_step / shared.state.sampling_steps time_since_start = time.time() - shared.state.time_start eta = (time_since_start/progress) eta_relative = eta-time_since_start progress = min(progress, 1) current_image = None if shared.state.current_image and not req.skip_current_image: current_image = encode_pil_to_base64(shared.state.current_image) return ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.dict(), current_image=current_image) def interrogateapi(self, interrogatereq: InterrogateRequest): image_b64 = interrogatereq.image if image_b64 is None: raise HTTPException(status_code=404, detail="Image not found") img = self.__base64_to_image(image_b64) # Override object param with self.queue_lock: processed = shared.interrogator.interrogate(img) return InterrogateResponse(caption=processed) def launch(self, server_name, port): self.app.include_router(self.router) uvicorn.run(self.app, host=server_name, port=port)