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Hy Image3.5 preview is live. 🚀 Professional-grade image generation, +30% win rate in human eval vs Hy Image3.0 Both Text to image & Image to image available. Up to 2K. Better Consistency. API: Priced for everyone. $0.024 per image on Tencent Cloud API. We only charge for what we...

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Tencent Hy

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36,840 просмотров • 6 часов назад •via X (Twitter)

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Комментарии: 14

Фото профиля SSH
SSH5 часов назад

open weight!!!!!!!!!!!!!!!!!

Фото профиля 👁️M1nd 3xp4nd3r👁️
👁️M1nd 3xp4nd3r👁️5 часов назад

You all should open source ❤️

Фото профиля Fajar M Reza
Fajar M Reza5 часов назад

Multimodal image generation becomes more useful when price and consistency improve together.

Фото профиля Greg Hunkins
Greg Hunkins4 часов назад

Great release, congrats, excited to test!

Фото профиля _alphashark_
_alphashark_5 часов назад

lock the seed and run the same image to image prompt at each strength setting. track face and logo drift with lpips, since better consistency can still hide local identity changes.

Фото профиля Leo Lu
Leo Lu5 часов назад

Free reference images make image-to-image iteration cheaper than the $0.024 output price suggests.

Фото профиля China OSS AI-lilxl
China OSS AI-lilxl5 часов назад

Tencent Hunyuan launched Hy Image3.5 preview (text-to-image & image-to-image, +30% win rate vs 3.0 in human eval). image-to-image is the piece the ComfyUI community will test hardest here. Hunyuan 3.0 was one of the few Chinese diffusion models that got deep local tooling support. curious if 3.5 keeps the same open-weights roadmap once the cloud preview wraps up.

Фото профиля AZIZ | AI 🇸🇦
AZIZ | AI 🇸🇦6 часов назад

Seens stunning 🤩

Фото профиля Omar
Omar4 часов назад

@grok is this going open weight? What do we know about the model size too

Фото профиля SilentYears
SilentYears6 часов назад

HY-MT系列模型还会有更新吗

Фото профиля liftoff
liftoff4 часов назад

卧槽？官方的？怎么一点流量没有的

Фото профиля .
.5 часов назад

it is not opensource? put it in your ass

Фото профиля OnSoloAI
OnSoloAI5 часов назад

Hunyuan Image 3.5 is on OnSolo. Exclusive. 5 refs. 2K. 1 credit. Members free.

Фото профиля SK
SK6 часов назад

Seems everything tenant releases is always stuck in preview

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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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Love this example! Congrats to Google DeepMind! I successfully replicated the Boggle game on SWE Arena. TLDR: Gemini 2.0 Pro won! In the case of Claude 3.5 Sonnet vs Gemini 2.0 Pro, both are given the image and prompt to generate the algo to get the results. The image and prompt are exactly the same. Try it out on SWE Arena: BTW can we get a bigger streaming rate limit for our API, so that ppl can better compare the latest Gemini models with other frontier models? Jeff Dean Logan Kilpatrick 👀

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48,220 просмотров • 1 год назад

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BUILD 🔥: Microsoft is preparing new image and voice models for the announcement on June 2. > MAI Voice 2, a multilingual model supporting 15 news languages and a wider range of emotional spectrum (check voice samples in the article) > MAI Transcribe 1.5, a new model for speech-to-text use cases. > MAI Image 2.5, already announced last week, is now available on LM Arena in preview. Compared to MAI Image 2, it supports file uploads and can be used for image editing.

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