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https://github.com/believethehype/nostrdvm.git
synced 2025-03-26 17:41:43 +01:00
added upscaler
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@ -37,8 +37,12 @@ class AdvancedSearch(DVMTaskInterface):
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super().__init__(name, dvm_config, nip89config, admin_config, options)
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def is_input_supported(self, tags):
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# no input required
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return True
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for tag in tags:
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if tag.as_vec()[0] == 'i':
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input_value = tag.as_vec()[1]
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input_type = tag.as_vec()[2]
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if input_type != "text":
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return False
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def create_request_from_nostr_event(self, event, client=None, dvm_config=None):
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self.dvm_config = dvm_config
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158
tasks/imageupscale.py
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158
tasks/imageupscale.py
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@ -0,0 +1,158 @@
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import json
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import os
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from multiprocessing.pool import ThreadPool
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from pathlib import Path
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import dotenv
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from backends.nova_server import check_nova_server_status, send_request_to_nova_server
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from interfaces.dvmtaskinterface import DVMTaskInterface
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from utils.admin_utils import AdminConfig
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from utils.backend_utils import keep_alive
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from utils.dvmconfig import DVMConfig
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from utils.nip89_utils import NIP89Config, check_and_set_d_tag
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from utils.definitions import EventDefinitions
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from utils.nostr_utils import check_and_set_private_key
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"""
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This File contains a Module to upscale an image from an url by factor 2-4
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Accepted Inputs: link to image (url)
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Outputs: An url to an Image
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Params: -upscale 2,3,4
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"""
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class ImageUpscale(DVMTaskInterface):
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KIND: int = EventDefinitions.KIND_NIP90_GENERATE_IMAGE
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TASK: str = "image-to-image"
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FIX_COST: float = 20
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def __init__(self, name, dvm_config: DVMConfig, nip89config: NIP89Config,
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admin_config: AdminConfig = None, options=None):
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super().__init__(name, dvm_config, nip89config, admin_config, options)
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def is_input_supported(self, tags):
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hasurl = False
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for tag in tags:
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if tag.as_vec()[0] == 'i':
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input_value = tag.as_vec()[1]
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input_type = tag.as_vec()[2]
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if input_type == "url":
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hasurl = True
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if not hasurl:
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return False
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return True
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def create_request_from_nostr_event(self, event, client=None, dvm_config=None):
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request_form = {"jobID": event.id().to_hex() + "_" + self.NAME.replace(" ", "")}
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request_form["trainerFilePath"] = r'modules\image_upscale\image_upscale_realesrgan.trainer'
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url = ""
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out_scale = 4
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for tag in event.tags():
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if tag.as_vec()[0] == 'i':
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input_type = tag.as_vec()[2]
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if input_type == "url":
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url = tag.as_vec()[1]
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elif tag.as_vec()[0] == 'param':
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print("Param: " + tag.as_vec()[1] + ": " + tag.as_vec()[2])
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if tag.as_vec()[1] == "upscale":
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out_scale = tag.as_vec()[2]
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io_input_image = {
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"id": "input_image",
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"type": "input",
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"src": "url:Image",
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"uri": url
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}
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io_output = {
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"id": "output_image",
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"type": "output",
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"src": "request:image"
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}
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request_form['data'] = json.dumps([io_input_image, io_output])
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options = {
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"outscale": out_scale,
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}
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request_form['options'] = json.dumps(options)
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return request_form
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def process(self, request_form):
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try:
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# Call the process route of NOVA-Server with our request form.
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response = send_request_to_nova_server(request_form, self.options['nova_server'])
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if bool(json.loads(response)['success']):
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print("Job " + request_form['jobID'] + " sent to NOVA-server")
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pool = ThreadPool(processes=1)
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thread = pool.apply_async(check_nova_server_status, (request_form['jobID'], self.options['nova_server']))
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print("Wait for results of NOVA-Server...")
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result = thread.get()
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return result
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except Exception as e:
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raise Exception(e)
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# We build an example here that we can call by either calling this file directly from the main directory,
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# or by adding it to our playground. You can call the example and adjust it to your needs or redefine it in the
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# playground or elsewhere
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def build_example(name, identifier, admin_config, server_address):
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dvm_config = DVMConfig()
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dvm_config.PRIVATE_KEY = check_and_set_private_key(identifier)
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dvm_config.LNBITS_INVOICE_KEY = os.getenv("LNBITS_INVOICE_KEY")
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dvm_config.LNBITS_URL = os.getenv("LNBITS_HOST")
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nip90params = {
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"upscale": {
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"required": False,
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"values": ["2", "3", "4"]
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}
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}
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nip89info = {
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"name": name,
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"image": "https://image.nostr.build/229c14e440895da30de77b3ca145d66d4b04efb4027ba3c44ca147eecde891f1.jpg",
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"about": "I upscale an image using realESRGan up to factor 4 (default is factor 4)",
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"encryptionSupported": True,
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"cashuAccepted": True,
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"nip90Params": nip90params
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}
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# A module might have options it can be initialized with, here we set a default model, lora and the nova-server
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options = {'nova_server': server_address}
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nip89config = NIP89Config()
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nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY,
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nip89info["image"])
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nip89config.CONTENT = json.dumps(nip89info)
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# We add an optional AdminConfig for this one, and tell the dvm to rebroadcast its NIP89
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return ImageUpscale(name=name, dvm_config=dvm_config, nip89config=nip89config,
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admin_config=admin_config, options=options)
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if __name__ == '__main__':
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env_path = Path('.env')
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if env_path.is_file():
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print(f'loading environment from {env_path.resolve()}')
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dotenv.load_dotenv(env_path, verbose=True, override=True)
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else:
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raise FileNotFoundError(f'.env file not found at {env_path} ')
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admin_config = AdminConfig()
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admin_config.REBROADCAST_NIP89 = False
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admin_config.UPDATE_PROFILE = False
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admin_config.LUD16 = ""
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dvm = build_example("Image Upscaler", "imageupscale", admin_config, os.getenv("NOVA_SERVER"))
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dvm.run()
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keep_alive()
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