Загрузка видео...

Не удалось загрузить видео

На главную

GPT-Image-2.5 is an impressive step forward. In our evaluations, Flare delivers high-quality images at two to four times the speed of GPT-Image-2. With improved transparent-background generation, it is an excellent fit for creative work on Manus, from brand assets to presentations and websites. Check it out in Manus!

68,770 просмотров • 3 дней назад •via X (Twitter)

Комментарии: 16

Фото профиля Jason Corkill
Jason Corkill3 дней назад

Its not just fast, its also beautiful and accurate!

Фото профиля Justin
Justin3 дней назад

Are you utilizing the Astra model and/or Fable 5.1 when utilizing (Manus 1.6 Max)

Фото профиля Sam
Sam3 дней назад

Meta deal gets blocked by CCP and now Meta releases @muse with most of @ManusAI’s features

Фото профиля Avi Yadav
Avi Yadav3 дней назад

😶 Zuck just acquired Manus AI and created his own version of Manus

Фото профиля nenji55
nenji553 дней назад

まだ使えないようです。早く使ってみたいー

Фото профиля Ferdinand
Ferdinand3 дней назад

Manus never disappoints

Фото профиля iksammy1
iksammy13 дней назад

Great images

Фото профиля Sebastian Buzdugan
Sebastian Buzdugan3 дней назад

saw fast generations pass review then fail from alpha halos on dark backgrounds

Фото профиля Christopher Rizzo
Christopher Rizzo3 дней назад

@OpenAIDevs And its cheaper in my experience!

Фото профиля Sebastian Buzdugan
Sebastian Buzdugan3 дней назад

transparent backgrounds still need alpha edge checks, halos break brand assets after compositing

Фото профиля AI Mastery Guide
AI Mastery Guide3 дней назад

4x faster than GPT-Image-2, nice

Фото профиля م . محمد السلوم 😁
م . محمد السلوم 😁2 дней назад

"Love the new features and tools, Manus is truly impressive! However, as a loyal user, I really need help with a critical issue. Between Sept 7–8, my account suffered a massive, unjustified drop of around 10,000 credits. ​My work has been completely disrupted for days,

Фото профиля Julián H. Ibáñez
Julián H. Ibáñez2 дней назад

Que nadie pague por esto. Las infografías que yo hacía por 300 créditos cada una, me las hace ahora por 1500 créditos, encima con errores, edito para que lo subsane y se gasta otros 1500. Osea 3000 en 10 minutos, de los 4000 de la versión pago. ES UN FRAUDE

Фото профиля ze-z 🪐
ze-z 🪐2 дней назад

still not available it seems :(

Фото профиля WEEX唯客中文
WEEX唯客中文3 дней назад

太好用了

Фото профиля Vidya
Vidya3 дней назад

@OpenAIDevs Already? You guys are fast!

Похожие видео

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

Tencent Hy

89,257 просмотров • 1 год назад