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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 görüntüleme • 3 gün önce •via X (Twitter)

16 Yorum

Jason Corkill profil fotoğrafı
Jason Corkill3 gün önce

Its not just fast, its also beautiful and accurate!

Justin profil fotoğrafı
Justin3 gün önce

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

Sam profil fotoğrafı
Sam3 gün önce

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

Avi Yadav profil fotoğrafı
Avi Yadav3 gün önce

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

nenji55 profil fotoğrafı
nenji553 gün önce

まだ使えないようです。早く使ってみたいー

Ferdinand profil fotoğrafı
Ferdinand3 gün önce

Manus never disappoints

iksammy1 profil fotoğrafı
iksammy13 gün önce

Great images

Sebastian Buzdugan profil fotoğrafı
Sebastian Buzdugan3 gün önce

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

Christopher Rizzo profil fotoğrafı
Christopher Rizzo3 gün önce

@OpenAIDevs And its cheaper in my experience!

Sebastian Buzdugan profil fotoğrafı
Sebastian Buzdugan3 gün önce

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

AI Mastery Guide profil fotoğrafı
AI Mastery Guide3 gün önce

4x faster than GPT-Image-2, nice

م . محمد السلوم 😁 profil fotoğrafı
م . محمد السلوم 😁2 gün önce

"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,

Julián H. Ibáñez profil fotoğrafı
Julián H. Ibáñez2 gün önce

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

ze-z 🪐 profil fotoğrafı
ze-z 🪐2 gün önce

still not available it seems :(

WEEX唯客中文 profil fotoğrafı
WEEX唯客中文3 gün önce

太好用了

Vidya profil fotoğrafı
Vidya3 gün önce

@OpenAIDevs Already? You guys are fast!

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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:

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89,257 görüntüleme • 1 yıl önce