Zhou Daquan (@zhoudaquan21) 's Twitter Profile
Zhou Daquan

@zhoudaquan21

ID: 2294278536

calendar_today16-01-2014 11:13:29

34 Tweet

42 Followers

65 Following

Aran Komatsuzaki (@arankomatsuzaki) 's Twitter Profile Photo

ByteDance presents Magic-Me Identity-Specific Video Customized Diffusion abs: arxiv.org/abs/2402.09368 repo: github.com/Zhen-Dong/Magi…

AK (@_akhaliq) 's Twitter Profile Photo

Magic-Me Identity-Specific Video Customized Diffusion paper page: huggingface.co/papers/2402.09… Creating content for a specific identity (ID) has shown significant interest in the field of generative models. In the field of text-to-image generation (T2I), subject-driven content

AK (@_akhaliq) 's Twitter Profile Photo

PLLaVA Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning Vision-language pre-training has significantly elevated performance across a wide range of image-language applications. Yet, the pre-training process for video-related tasks demands

PLLaVA

Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Vision-language pre-training has significantly elevated performance across a wide range of image-language applications. Yet, the pre-training process for video-related tasks demands
Gradio (@gradio) 's Twitter Profile Photo

🤯 𝐒𝐭𝐨𝐫𝐲𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 - Generates high-quality videos using consistent generated images or with user's input-images as a condition. More examples and links below👇

Gradio (@gradio) 's Twitter Profile Photo

Other than consistent videos StoryDiffusion can also - ✅ Create amazing consistent cartoon character images ✅ Maintain the IDs of multiple characters at the same time and generate consistent images ✅ Create impressive comics while maintaining main character's consistency

Gradio (@gradio) 's Twitter Profile Photo

😎 Stay tuned for the official Gradio demo release on Hugging Face Spaces soon! 🤠 Unlock the power of Gradio and create ML experiences that wow your users. Start building interactive demos today: github.com/gradio-app/gra…

AK (@_akhaliq) 's Twitter Profile Photo

StoryDiffusion Consistent Self-Attention for Long-Range Image and Video Generation For recent diffusion-based generative models, maintaining consistent content across a series of generated images, especially those containing subjects and complex details, presents a

Gradio (@gradio) 's Twitter Profile Photo

🤯ByteDance's official StoryDiffusion demo is already out on Hugging Face Spaces! 🙌The comics-related codes are public now. Kudos to Zhou Daquan et al. for the great work. Links and more 👇

Gradio (@gradio) 's Twitter Profile Photo

📣Comics Demo is on 🤗Spaces: huggingface.co/spaces/YupengZ… ✅GitHub code and demo: github.com/HVision-NKU/St… 🚀Video (short/long form) demo & code awaited 🔥More examples: 4-panel comic feat. Yann LeCun as a 👮‍♂️PoliceOfficer & as a Scientist inventing AI! Visit: Gradio.dev

POM (@peteromallet) 's Twitter Profile Photo

I believe that StoryDiffusion has the potential to be Animatediff's complex motion sister-model! While AD is amazing for granular control, micro-motion and all kinds of abstract motion, it fails at complex realistic motion - walking, human movements, cars, etc. StoryDiffusion

el.cine (@ehuanglu) 's Twitter Profile Photo

OpenAI has been lying to us this whole time! We’ve been dreaming about it for months, hoping it would solve problems and be the game changer. But instead, it loses in every way, most of the clips not usable and it doesn’t even follow prompts properly. On top of that, they’re

Zhou Daquan (@zhoudaquan21) 's Twitter Profile Photo

For those want better quality and motion dynamics, please try to increase the diffusion steps, or try the version in APP :)

Victor.Kai Wang (@victorkaiwang1) 's Twitter Profile Photo

Generating ~200 million parameters in just minutes! 🥳 Excited to share our work with Doven Tang , ZHAO WANGBO , and Yang You: 'Recurrent Diffusion for Large-Scale Parameter Generation' (RPG for short). Example: Obtain customized models using prompts (see below). (🧵1/8)