add stable video diffusion, gif conversion

tasks/imagegeneration_replicate_sdxl.py

@@ -0,0 +1,170 @@
+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()