from fastapi import FastAPI, Request, UploadFile, HTTPException, status from fastapi.staticfiles import StaticFiles from fastapi.responses import FileResponse import aiofiles import subprocess import os import json import uuid import logging import torch from diffusers import ( StableDiffusionPipeline, DPMSolverMultistepScheduler, EulerDiscreteScheduler, ) app = FastAPI() @app.get("/generate") def generate_image(prompt, model): torch.cuda.empty_cache() modelArray = model.split(",") modelName = modelArray[0] modelVersion = modelArray[1] pipeline = StableDiffusionPipeline.from_pretrained( str(modelName), torch_dtype=torch.float16 ) pipeline.scheduler = EulerDiscreteScheduler.from_config(pipeline.scheduler.config) pipeline = pipeline.to("cuda") image = pipeline(prompt, num_inference_steps=50, height=512, width=512).images[0] filename = str(uuid.uuid4()) + ".jpg" image.save(filename) assertion = { "assertions": [ { "label": "com.truepic.custom.ai", "data": { "model_name": modelName, "model_version": modelVersion, "prompt": prompt, }, } ] } json_object = json.dumps(assertion) subprocess.check_output( [ "./truepic", "sign", filename, "--assertions-inline", json_object, "--output", (os.getcwd() + "/static/" + filename), ] ) return {"response": filename} @app.post("/verify") def verify_image(file: UploadFile): logging.warning("in verify") logging.warning(file.filename) logging.warning('form') logging.warning(form) logging.warning('fileitem') logging.warning(fileitem) # check if the file has been uploaded if fileitem.filename: # strip the leading path from the file name fn = os.path.basename(fileitem.filename) # open read and write the file into the server open(fn, 'wb').write(fileitem.file.read()) return {"response": fileitem.filename} @app.post('/upload') async def upload(fileUpload: UploadFile): try: contents = await fileUpload.read() async with aiofiles.open(fileUpload.filename, 'wb') as f: await f.write(contents) except Exception: raise HTTPException( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail='There was an error uploading the file', ) finally: await fileUpload.close() return {'message': f'Successfuly uploaded {fileUpload.filename}'} app.mount("/", StaticFiles(directory="static", html=True), name="static") @app.get("/") def index() -> FileResponse: return FileResponse(path="/app/static/index.html", media_type="text/html")