Model profile · live graphTongyi-MAI

Z-Image-Turbo

Hugging Face model with 5113 likes. Tags: diffusers, safetensors, text-to-image, en, arxiv:2511.22699, arxiv:2511.22677, arxiv:2511.13649, license:apache-2.0, diffusers:ZImagePipeline, deploy:azure

License · unknowntext-to-imagevia Hugging Face
5.1KGraph score
53Connections
49Papers
2Repos
2News

Papers49

paperFrom RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models

Large-scale text-to-image models are attractive backbones for dense prediction because RGB generation pretraining learns

paperERank in Latent Space as an Image-Complexity and Richness Measure

We propose the effective rank (ERank) of the channel covariance of an image's deep feature map as a per-sample, label-fr

paperChatImage: Navigating Long-Form LLM Answers through Interactive Images

Large Language Models (LLMs) can produce detailed answers to complex queries, but these answers are typically presented

paperReconstructing Historical Manuscripts through MSI: The Potential of Contrast in Assessing Image Quality and Legibility

Digital restoration of historical manuscript images aims to improve readability while preserving the authenticity of cul

paperVisual graphs for image classification: does the structure affect performance?

Deep learning models have emerged in machine learning and related fields, demonstrating astonishing performance in vario

paperThe Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric

Human visual similarity judgments are context-dependent. For example, two images may be similar in shape but distinct in

paperSUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment

CAD-to-image alignment aims to estimate an object's 9D pose (rotation, translation, and anisotropic scale) from a single

paperCross-Branch Conflict as a Shield: Safeguarding Facial Identities in Unified Multimodal Image Editing

Unified multimodal models (UMMs) have recently demonstrated powerful instruction-based image editing capabilities, but t

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News2

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