Z-Image is a powerful and efficient image generation model with 6 billion parameters. It can effectively solve the problems in the fields of image generation in terms of efficiency, quality, and functional diversity, providing users with high-quality image generation and editing services.

Computer VisionDiffusersEnglish

Ganga-2-1b is an instruction fine-tuned model trained on a Hindi dataset and is part of Project Unity, aiming to handle the diversity and richness of Indian languages.

Natural Language ProcessingTransformersMultiple Languages

beLIEve is a text-to-image model that combines 'I Can't Believe It's Not Photography' v1 and 'Real Stock Photos' v3, designed to enhance detail representation and facial diversity.

Computer VisionDiffusersEnglish

BigVGAN is a large-scale trained universal neural vocoder capable of high-quality mel-spectrogram to waveform conversion. The v2 version accelerates inference through custom CUDA kernels and expands training data diversity.

ConsistentID is a multimodal fine-grained identity-preserving portrait generation model capable of producing portraits with extremely high identity fidelity while maintaining diversity and text controllability.

MultimodalDiffusersOther

Taiyi-Diffusion-XL is a bilingual diffusion model that focuses on enhancing the Chinese text-to-image generation ability while retaining English comprehension ability. Based on the Stable-Diffusion-XL architecture and trained with a high-quality bilingual dataset, it performs excellently in terms of image quality, diversity, and text alignment, providing new options for AIGC and digital art creation.

MultimodalDiffusersOther

A GPT2-based prompt expansion model designed to enhance the quality and diversity of text generation prompts

Natural Language ProcessingTransformers

BracingEvoMix is a text - to - image generation model series based on OpenBraβ and OpenBra. It focuses on reducing the probability of high - risk model mixing and performs excellently in Asian face diversity and photo - realism.

Computer VisionDiffusersJapanese

An anime/manga-style image generation model based on Stable Diffusion v1, trained on approximately 19.2 million images, aiming for a balance between art style diversity and anatomical quality.

Computer VisionDiffusers

KRISSBERT is a knowledge-enhanced self-supervised learning model for biomedical entity linking. It trains contextual encoders using unannotated text and domain knowledge to effectively address the diversity and ambiguity of entity names.

Natural Language ProcessingTransformersEnglish