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add stability.ai api / sd35/ultra dvm
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Believethehype
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nostr_dvm/tasks/imagegeneration_sd35_api.py
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295
nostr_dvm/tasks/imagegeneration_sd35_api.py
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import json
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import os
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import time
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from io import BytesIO
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import requests
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from PIL import Image
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from nostr_sdk import Kind
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from nostr_dvm.interfaces.dvmtaskinterface import DVMTaskInterface, process_venv
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from nostr_dvm.utils.admin_utils import AdminConfig
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from nostr_dvm.utils.definitions import EventDefinitions
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from nostr_dvm.utils.dvmconfig import DVMConfig, build_default_config
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from nostr_dvm.utils.nip88_utils import NIP88Config
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from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag
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from nostr_dvm.utils.output_utils import upload_media_to_hoster
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"""
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This File contains a module to transform Text input on stabity AI API
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Accepted Inputs: Prompt (text)
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Outputs: An url to an Image
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"""
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#STABILITY_KEY = os.getenv("STABILITY_KEY")
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class ImageGenerationSD35(DVMTaskInterface):
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KIND: Kind = EventDefinitions.KIND_NIP90_GENERATE_IMAGE
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TASK: str = "text-to-image"
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FIX_COST: float = 50
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def __init__(self, name, dvm_config: DVMConfig, nip89config: NIP89Config, nip88config: NIP88Config = None,
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admin_config: AdminConfig = None,
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options=None, task=None):
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super().__init__(name, dvm_config, nip89config, nip88config, admin_config, options, task)
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if options is not None:
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self.STABILITY_KEY = options["API_KEY"]
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async def init_dvm(self, name, dvm_config: DVMConfig, nip89config: NIP89Config, nip88config: NIP88Config = None,
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admin_config: AdminConfig = None, options=None):
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dvm_config.SCRIPT = os.path.abspath(__file__)
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async def is_input_supported(self, tags, client=None, dvm_config=None):
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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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elif tag.as_vec()[0] == 'output':
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output = tag.as_vec()[1]
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if (output == "" or
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not (output == "image/png" or "image/jpg"
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or output == "image/png;format=url" or output == "image/jpg;format=url")):
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print("Output format not supported, skipping..")
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return False
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return True
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async 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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prompt = ""
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negative_prompt = ""
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if self.options.get("default_model") and self.options.get("default_model") != "":
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model = self.options['default_model']
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else:
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model = "sd3" #ultra
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ratio_width = "4"
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ratio_height = "5"
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width = ""
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height = ""
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seed = "0"
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if self.options.get("default_lora") and self.options.get("default_lora") != "":
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lora = self.options['default_lora']
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else:
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lora = ""
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lora_weight = ""
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strength = ""
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guidance_scale = ""
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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 == "text":
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prompt = 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] == "negative_prompt":
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negative_prompt = tag.as_vec()[2]
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elif tag.as_vec()[1] == "ratio":
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if len(tag.as_vec()) > 3:
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ratio_width = (tag.as_vec()[2])
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ratio_height = (tag.as_vec()[3])
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elif len(tag.as_vec()) == 3:
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split = tag.as_vec()[2].split(":")
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ratio_width = split[0]
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ratio_height = split[1]
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# if size is set it will overwrite ratio.
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elif tag.as_vec()[1] == "size":
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if len(tag.as_vec()) > 3:
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width = (tag.as_vec()[2])
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height = (tag.as_vec()[3])
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elif len(tag.as_vec()) == 3:
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split = tag.as_vec()[2].split("x")
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if len(split) > 1:
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width = split[0]
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height = split[1]
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elif tag.as_vec()[1] == "model":
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model = tag.as_vec()[2]
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elif tag.as_vec()[1] == "seed":
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seed = tag.as_vec()[2]
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options = {
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"ratio": ratio_width + ':' + ratio_height,
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"width": width,
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"height": height,
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"seed": seed,
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"model": model,
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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 send_async_generation_request(self,
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host,
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params,
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):
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headers = {
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"Accept": "application/json",
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"Authorization": f"Bearer {self.STABILITY_KEY}",
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}
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# Encode parameters
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files = {}
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if "image" in params:
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image = params.pop("image")
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files = {"image": open(image, 'rb')}
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# Send request
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print(f"Sending REST request to {host}...")
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response = requests.post(
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host,
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headers=headers,
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files=files,
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data=params
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)
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if not response.ok:
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raise Exception(f"HTTP {response.status_code}: {response.text}")
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# Process async response
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response_dict = json.loads(response.text)
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generation_id = response_dict.get("id", None)
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assert generation_id is not None, "Expected id in response"
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# Loop until result or timeout
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timeout = int(os.getenv("WORKER_TIMEOUT", 500))
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start = time.time()
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status_code = 202
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while status_code == 202:
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response = requests.get(
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f"{host}/result/{generation_id}",
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headers={
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**headers,
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"Accept": "image/*"
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},
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)
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if not response.ok:
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raise Exception(f"HTTP {response.status_code}: {response.text}")
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status_code = response.status_code
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time.sleep(10)
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if time.time() - start > timeout:
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raise Exception(f"Timeout after {timeout} seconds")
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return response
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def send_generation_request(self,
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host,
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params,
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):
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headers = {
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"Accept": "image/*",
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"Authorization": f"Bearer {self.STABILITY_KEY}"
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}
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# Encode parameters
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files = {}
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image = params.pop("image", None)
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mask = params.pop("mask", None)
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if image is not None and image != '':
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files["image"] = open(image, 'rb')
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if mask is not None and mask != '':
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files["mask"] = open(mask, 'rb')
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if len(files) == 0:
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files["none"] = ''
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# Send request
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print(f"Sending REST request to {host}...")
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response = requests.post(
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host,
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headers=headers,
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files=files,
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data=params
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)
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if not response.ok:
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raise Exception(f"HTTP {response.status_code}: {response.text}")
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return response
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async def process(self, request_form):
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try:
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options = self.set_options(request_form)
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#host = f"https://api.stability.ai/v2beta/stable-image/generate/ultra"
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#host = f"https://api.stability.ai/v2beta/stable-image/generate/sd3"
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model = "sd3.5-large"
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params = {
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"prompt": options['prompt'], # "dark high contrast render of a psychedelic tree of life illuminating dust in a mystical cave.",
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"negative_prompt": options['negative_prompt'],
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"aspect_ratio": options['ratio'],
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#"seed": int(options['seed']),
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"output_format": "jpeg",
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#"model": model,
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#"mode": "text-to-image"
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}
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host = f"https://api.stability.ai/v2beta/stable-image/generate/{options['model']}"
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host = f"https://api.stability.ai/v2beta/stable-image/generate/ultra"
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response = self.send_generation_request(host, params)
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image = Image.open(BytesIO(response.content)).convert("RGB")
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image.save("./outputs/image.jpg")
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result = await upload_media_to_hoster("./outputs/image.jpg")
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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, default_model="sd3", default_lora=""):
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dvm_config = build_default_config(identifier)
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dvm_config.USE_OWN_VENV = False
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admin_config.LUD16 = dvm_config.LN_ADDRESS
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# A module might have options it can be initialized with, here we set a default model, and the server
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# address it should use. These parameters can be freely defined in the task component
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options = {'default_model': default_model, 'default_lora': default_lora, 'server': server_address}
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nip89info = {
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"name": name,
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"image": "https://i.nostr.build/NOXcCIPmOZrDTK35.jpg",
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"about": "I draw images using Stable diffusion ultra",
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"encryptionSupported": True,
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"cashuAccepted": True,
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"nip90Params": {
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"negative_prompt": {
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"required": False,
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"values": []
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},
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"ratio": {
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"required": False,
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"values": ["1:1", "5:4", "3:2", "16:9", "21:9", "9:21", "9:16", "2:3", "4:5"]
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},
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"seed": {
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"required": False,
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"values": []
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}
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}
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}
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nip89config = NIP89Config()
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nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["image"])
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nip89config.CONTENT = json.dumps(nip89info)
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return ImageGenerationSD35(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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process_venv(ImageGenerationSD35)
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85
tests/sd35_api.py
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tests/sd35_api.py
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import json
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import os
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from pathlib import Path
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import dotenv
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from nostr_sdk import LogLevel, init_logger
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from nostr_dvm.tasks.imagegeneration_sd35_api import ImageGenerationSD35
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from nostr_dvm.utils.admin_utils import AdminConfig
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from nostr_dvm.utils.dvmconfig import build_default_config
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from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag
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from nostr_dvm.utils.zap_utils import get_price_per_sat
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rebroadcast_NIP89 = False # Announce NIP89 on startup Only do this if you know what you're doing.
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rebroadcast_NIP65_Relay_List = False
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update_profile = False
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use_logger = True
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log_level = LogLevel.ERROR
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if use_logger:
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init_logger(log_level)
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def build_sd35(name, identifier):
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dvm_config = build_default_config(identifier)
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dvm_config.NEW_USER_BALANCE = 0
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dvm_config.USE_OWN_VENV = False
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dvm_config.ENABLE_NUTZAP = True
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profit_in_sats = 10
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dvm_config.FIX_COST = int(((4.0 / (get_price_per_sat("USD") * 100)) + profit_in_sats))
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nip89info = {
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"name": name,
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"image": "https://i.nostr.build/NOXcCIPmOZrDTK35.jpg",
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"about": "I draw images using Stable diffusion ultra",
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"encryptionSupported": True,
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"cashuAccepted": True,
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"nip90Params": {
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"negative_prompt": {
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"required": False,
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"values": []
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},
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"ratio": {
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"required": False,
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"values": ["1:1", "5:4", "3:2", "16:9","21:9", "9:21", "9:16", "2:3", "4:5"]
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}
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}
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}
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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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aconfig = AdminConfig()
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aconfig.REBROADCAST_NIP89 = False # We add an optional AdminConfig for this one, and tell the dvm to rebroadcast its NIP89
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aconfig.LUD16 = dvm_config.LN_ADDRESS
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aconfig.PRIVKEY = dvm_config.PRIVATE_KEY
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aconfig.MELT_ON_STARTUP = False # set this to true to melt cashu tokens to our ln address on startup
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options= {"API_KEY": os.getenv("STABILITY_KEY")}
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return ImageGenerationSD35(name=name, dvm_config=dvm_config, nip89config=nip89config, admin_config=aconfig, options=options)
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def playground():
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if os.getenv("STABILITY_KEY") is not None and os.getenv("STABILITY_KEY") != "":
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sd35 = build_sd35("Stable Diffusion 3.5", "sd35")
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sd35.run(True)
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if __name__ == '__main__':
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env_path = Path('.env')
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if not env_path.is_file():
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with open('.env', 'w') as f:
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print("Writing new .env file")
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f.write('')
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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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playground()
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