mirror of
https://github.com/believethehype/nostrdvm.git
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140 lines
5.3 KiB
Python
140 lines
5.3 KiB
Python
import json
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import os
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import urllib.request
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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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from nostr_dvm.utils.zap_utils import get_price_per_sat
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"""
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This File contains a Module to transform an image to a short video clip using Stable Video Diffusion with replicate
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Accepted Inputs: Prompt (text)
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Outputs: An url to an Image
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Params:
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"""
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class VideoGenerationReplicateSVD(DVMTaskInterface):
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KIND: Kind = EventDefinitions.KIND_NIP90_GENERATE_VIDEO
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TASK: str = "image-to-video"
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FIX_COST: float = 120
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dependencies = [("nostr-dvm", "nostr-dvm"),
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("replicate", "replicate")]
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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 != "url":
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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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url = ""
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frames = 14 # 25
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if frames == 25:
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length = "25_frames_with_svd_xt"
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else:
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length = "14_frames_with_svd"
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sizing_strategy = "maintain_aspect_ratio" # crop_to_16_9, use_image_dimensions
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frames_per_second = 6
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motion_bucket_id = 127 # Increase overall motion in the generated video
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cond_aug = 0.02 # Amount of noise to add to input image
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for tag in event.tags().to_vec():
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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 = str(tag.as_vec()[1]).split('#')[0]
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# TODO add params as defined above
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options = {
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"url": url,
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"length": length,
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"sizing_strategy": sizing_strategy,
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"frames_per_second": frames_per_second,
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"motion_bucket_id": motion_bucket_id,
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"cond_aug": cond_aug
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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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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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print(options["url"])
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response = requests.get(options["url"])
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image = Image.open(BytesIO(response.content)).convert("RGB")
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image.save("./outputs/input.jpg")
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import replicate
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output = replicate.run(
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"stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438",
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input={"input_image": open("./outputs/input.jpg", "rb"),
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"video_length": options["length"],
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"sizing_strategy": options["sizing_strategy"],
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"frames_per_second": options["frames_per_second"],
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"motion_bucket_id": options["motion_bucket_id"],
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"cond_aug": options["cond_aug"]
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}
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)
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print(output)
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urllib.request.urlretrieve(output, "./outputs/svd.mp4")
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result = await upload_media_to_hoster("./outputs/svd.mp4")
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return result
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except Exception as e:
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print("Error in Module")
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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):
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dvm_config = build_default_config(identifier)
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admin_config.LUD16 = dvm_config.LN_ADDRESS
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profit_in_sats = 10
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cost_in_cent = 4.0
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dvm_config.FIX_COST = int(((cost_in_cent / (get_price_per_sat("USD") * 100)) + profit_in_sats))
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nip89info = {
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"name": name,
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"picture": "https://image.nostr.build/c33ca6fc4cc038ca4adb46fdfdfda34951656f87ee364ef59095bae1495ce669.jpg",
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"about": "I use Replicate to run StableDiffusion XL",
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"supportsEncryption": True,
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"acceptsNutZaps": False,
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"nip90Params": {}
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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["picture"])
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nip89config.CONTENT = json.dumps(nip89info)
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return VideoGenerationReplicateSVD(name=name, dvm_config=dvm_config, nip89config=nip89config,
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admin_config=admin_config)
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if __name__ == '__main__':
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process_venv(VideoGenerationReplicateSVD)
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