import json import os from io import BytesIO from pathlib import Path import dotenv import requests from PIL import Image from interfaces.dvmtaskinterface import DVMTaskInterface from utils.admin_utils import AdminConfig from utils.backend_utils import keep_alive from utils.definitions import EventDefinitions from utils.dvmconfig import DVMConfig from utils.nip89_utils import NIP89Config, check_and_set_d_tag from utils.nostr_utils import check_and_set_private_key from utils.output_utils import upload_media_to_hoster from utils.zap_utils import get_price_per_sat """ This File contains a Module to transform Text input on NOVA-Server and receive results back. Accepted Inputs: Prompt (text) Outputs: An url to an Image Params: """ class ImageGenerationReplicateSDXL(DVMTaskInterface): KIND: int = EventDefinitions.KIND_NIP90_GENERATE_IMAGE TASK: str = "text-to-image" FIX_COST: float = 120 def __init__(self, name, dvm_config: DVMConfig, nip89config: NIP89Config, admin_config: AdminConfig = None, options=None): super().__init__(name, dvm_config, nip89config, admin_config, options) def is_input_supported(self, tags): for tag in tags: if tag.as_vec()[0] == 'i': input_value = tag.as_vec()[1] input_type = tag.as_vec()[2] if input_type != "text": return False elif tag.as_vec()[0] == 'output': output = tag.as_vec()[1] if (output == "" or not (output == "image/png" or "image/jpg" or output == "image/png;format=url" or output == "image/jpg;format=url")): print("Output format not supported, skipping..") return False return True def create_request_from_nostr_event(self, event, client=None, dvm_config=None): request_form = {"jobID": event.id().to_hex() + "_" + self.NAME.replace(" ", "")} prompt = "" width = "1024" height = "1024" for tag in event.tags(): if tag.as_vec()[0] == 'i': input_type = tag.as_vec()[2] if input_type == "text": prompt = tag.as_vec()[1] elif tag.as_vec()[0] == 'param': print("Param: " + tag.as_vec()[1] + ": " + tag.as_vec()[2]) if tag.as_vec()[1] == "size": if len(tag.as_vec()) > 3: width = (tag.as_vec()[2]) height = (tag.as_vec()[3]) elif len(tag.as_vec()) == 3: split = tag.as_vec()[2].split("x") if len(split) > 1: width = split[0] height = split[1] elif tag.as_vec()[1] == "model": model = tag.as_vec()[2] elif tag.as_vec()[1] == "quality": quality = tag.as_vec()[2] options = { "prompt": prompt, "size": width + "x" + height, "number": 1 } request_form['options'] = json.dumps(options) return request_form def process(self, request_form): try: options = DVMTaskInterface.set_options(request_form) import replicate width = int(options["size"].split("x")[0]) height = int(options["size"].split("x")[1]) output = replicate.run( "stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b", input={"prompt": options["prompt"], "width": width, "height": height, "disable_safety_checker": True} ) print(output[0]) response = requests.get(output[0]) image = Image.open(BytesIO(response.content)).convert("RGB") image.save("./outputs/image.jpg") result = upload_media_to_hoster("./outputs/image.jpg") return result except Exception as e: print("Error in Module") raise Exception(e) # We build an example here that we can call by either calling this file directly from the main directory, # or by adding it to our playground. You can call the example and adjust it to your needs or redefine it in the # playground or elsewhere def build_example(name, identifier, admin_config): dvm_config = DVMConfig() dvm_config.PRIVATE_KEY = check_and_set_private_key(identifier) dvm_config.LNBITS_INVOICE_KEY = os.getenv("LNBITS_INVOICE_KEY") dvm_config.LNBITS_URL = os.getenv("LNBITS_HOST") profit_in_sats = 10 dvm_config.FIX_COST = int(((4.0 / (get_price_per_sat("USD") * 100)) + profit_in_sats)) nip90params = { "size": { "required": False, "values": ["1024:1024", "1024x1792", "1792x1024"] } } nip89info = { "name": name, "image": "https://image.nostr.build/c33ca6fc4cc038ca4adb46fdfdfda34951656f87ee364ef59095bae1495ce669.jpg", "about": "I use Replicate to run StableDiffusion XL", "encryptionSupported": True, "cashuAccepted": True, "nip90Params": nip90params } nip89config = NIP89Config() nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["image"]) nip89config.CONTENT = json.dumps(nip89info) # We add an optional AdminConfig for this one, and tell the dvm to rebroadcast its NIP89 return ImageGenerationReplicateSDXL(name=name, dvm_config=dvm_config, nip89config=nip89config, admin_config=admin_config) if __name__ == '__main__': env_path = Path('.env') if env_path.is_file(): print(f'loading environment from {env_path.resolve()}') dotenv.load_dotenv(env_path, verbose=True, override=True) else: raise FileNotFoundError(f'.env file not found at {env_path} ') admin_config = AdminConfig() admin_config.REBROADCAST_NIP89 = False admin_config.UPDATE_PROFILE = False admin_config.LUD16 = "" dvm = build_example("Stable Diffusion XL", "replicate_sdxl", admin_config) dvm.run() keep_alive()