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We are implementing Google's Gemini 1.5 Pro for character description and image generation (with Imagen)! Soon on you'll be able to create character images from text prompts and then bring them to life with Viggle. Stay tuned!

43,989 görüntüleme • 1 yıl önce •via X (Twitter)

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madpencil_ profil fotoğrafı
madpencil_1 yıl önce

Awesome upgrade 👌

ViggleAI profil fotoğrafı
ViggleAI1 yıl önce

Will let you know when it’s available!

Brent Lynch profil fotoğrafı
Brent Lynch1 yıl önce

You sprung for fancy pants Gemini 1.5 PRO so we can can create people with it! Good going! Having to make kitchen sinks and other non human characters dance would have been fun too but appreciate the extra mile! :) @RyanMorrisonJer @TheoMediaAI

Heather Cooper profil fotoğrafı
Heather Cooper1 yıl önce

This is great! I need this👏

ViggleAI profil fotoğrafı
ViggleAI1 yıl önce

Yeeeess coming soon!!

Tom Blake profil fotoğrafı
Tom Blake1 yıl önce

This is pretty cool! 🔥

Andy Holland profil fotoğrafı
Andy Holland1 yıl önce

Super cool! Can't wait to use this and start creating my own characters. The possibilities are endless!!

Sri profil fotoğrafı
Sri1 yıl önce

Great innovation 🔥

Jay Jay 3D 🤖 profil fotoğrafı
Jay Jay 3D 🤖1 yıl önce

Looking forward to this Viggle :D

ViggleAI profil fotoğrafı
ViggleAI1 yıl önce

Let’s goooo🔥

Benzer Videolar

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 • 10 ay önce