This is an open-source LoRA model specifically designed for Qwen-Image, focusing on simulating the realistic look and feel of modern iPhone photography. The model is trained on more than 5000 real iPhone-style photos and can generate clear, natural images suitable for social media sharing.

Computer VisionDiffusers

EdgeTAM is a lightweight variant of SAM 2, designed for on-device video segmentation and tracking. It is 22 times faster than SAM 2, reaching 16 FPS on the iPhone 15 Pro Max, and supports real-time video object segmentation and cross-frame tracking.

Computer VisionTransformers

Marvis is an advanced conversational voice model designed for real-time streaming text-to-speech synthesis. It focuses on efficiency and ease of use, supporting high-quality real-time voice synthesis on consumer devices such as Apple chips, iPhones, iPads, and Macs.

Audio ProcessingTransformersEnglish

fastvlm-0.5b-captions is an efficient vision-language model fine-tuned based on the third-stage model of FastVLM-0.5B, designed specifically for structured image description on mobile devices. This model uses LoRA fine-tuning, 4-bit quantization, and MobileCLIP-S0 visual tower technology, significantly reducing memory usage and enabling real-time inference on mobile devices such as iPhones.

MultimodalTransformersEnglish

A LoRA model based on diffusion models, specifically designed to generate images with iPhone photography style, especially suitable for combining post-apocalyptic styles with cute elements.

Computer VisionDiffusers

This is a text-to-image diffusion model based on LoRA technology, specifically designed to generate photos with the shooting style of iPhone15.

Computer VisionDiffusers

This is a diffusion model based on LoRA technology, capable of generating images with the photography style of iPhone15.

Computer VisionDiffusers