要請對方投資就是要讓投資者獲利，否則就擺明說贊助就好。
2. To the best of my knowledge, Primal has a backend service called 'caching-service.' This service collects and stores events sent by predefined relays, so that Primal clients can retrieve information from the caching service without having to connect to each relay individually. The Github project provides a list of relays for the caching-service, but which ones are connected in the Production environment is likely known only to the operations team of Primal. This is my speculation based on the Github project provided by Primal and some technical architecture descriptions.
AnyDoor，一種強大的基於擴散的圖像生成器，能夠將目標對象和諧地傳送到新的場景中。無需為每個對象調整參數，只需一次訓練，就能輕鬆應對各種對象和場景的組合。這種零擊殺設置需要對對象進行充分的描述，我們通過結合身份特徵和細節特徵來實現這一點，這些特徵被精心設計以保持紋理細節，同時允許多樣化的局部變化，支持對象與不同的環境融為一體。AnyDoor 的潛力巨大，可以用於真實世界的應用，如虛擬試穿和對象移動。
Introducing AnyDoor, a cutting-edge image generator that can seamlessly integrate objects into new scenes. This tool is trained to adapt to a variety of object-scene combinations without needing individual adjustments. It's designed to maintain texture details while allowing for local variations like lighting and orientation, ensuring a harmonious blend with any environment.
AnyDoor's applications are vast and exciting. It can be used for object moving, object swapping, multi-subject composition, and even virtual try-on, preserving the colors, patterns, and textures of different clothes without the need for complex human parsing.
#AI #Tech
必須用圖片裡的網址
沒片尾彩蛋，可以提早出去搶廁所。
回家路過的公園，蠻適合小孩玩得，近年政府政策讓社區型公園都有兒童可以遊玩的設施
GN #nostr #photostr #taiwan
這篇文章探討使用AI來生成像電視影集這類的連續性內容。
- 研究人員開發了一個多智能體模擬,為基於既有知識產權如南方四賤客的AI生成故事提供脈絡和推進。
- 如GPT-4等大型語言模型通過提示鏈接來生成對話和場景,以模擬創造性思維。
- 自定義擴散模型以南方四賤客獨特的風格創建字符和背景圖像。
- 該模擬有助於避免AI創作工具面臨的“老虎機效應”和“空白頁面問題”。
- 他們的方法結合了模擬、用戶和AI模型的優勢,為一個吸引人、與知識產權一致的敘事體驗。
- 未來的工作涉及訓練一個稱為SHOW-1的節目專用模型,以捕捉不同節目的獨特戲劇和風格元素。
- 該項目在承認知識產權權利的同時,探索AI在高品質連續內容創作方面的潛力。
This article explores using AI to generate episodic content like TV shows.
- Researchers developed a multi-agent simulation to provide context and progression for AI-generated stories based on existing IPs like South Park.
- Large language models like GPT-4 generate dialogue and scenes through prompt chaining to simulate creative thinking.
- Custom diffusion models create images of characters and backgrounds in South Park's signature style.
- The simulation helps avoid issues like the "slot machine effect" and "blank page problem" faced by AI creativity tools.
- Their approach combines strengths of the simulation, the user, and AI models for an engaging, IP-aligned storytelling experience.
- Future work involves training a show-specific model called SHOW-1 to capture unique dramatic and stylistic elements of different shows.
- The project explores AI's potential for high-quality episodic content creation while acknowledging IP rights.
#AI #GenAI
I have the same question too.
