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Remade AI has released 8 open-source LoRAs for Wan2.1, significantly enhancing AI video creation capabilities and sparking excitement within the community.

March 9, 2025, California, USA — Open-source models are making text-to-video technology increasingly exciting. AI developer Ostris (@ostrisai) recently shared on X platform the results of his Wan2.1 LoRA model trained with his own photos. Using only about 20 photos and a consumer-grade RTX 4090 graphics card, he achieved astonishing video generation results. This achievement not only showcases the potential of open-source technology but also sparked a discussion on video LoRA training within the X community.

PhotoDoodle, a novel AI image editing system developed by ByteDance in collaboration with research teams from universities in China and Singapore, is redefining our understanding of image creation. This innovative technology, based on the Flux.1 model, can learn artistic styles from a small number of samples and accurately execute specific editing instructions, opening up new possibilities for creative expression. Built upon Flux.1, PhotoDoodle's core is the OmniEditor system, initially developed by the research team. It cleverly utilizes LoRA (Low-Rank Adaptation) to...

Recent research from Alibaba's Tongyi Laboratory indicates that existing text-to-image Diffusion Transformer models already possess the ability to generate multiple images with specific relational contexts. With just a little 'guidance', they can achieve a synthesis of understanding and produce high-quality multi-image collections. Traditional Diffusion models are more like 'rote learning' students, requiring massive datasets to generate high-quality images. However, with the support of IC-LoRA, they become 'high-achieving students', capable of learning through analogy.

Recently, ByteDance quietly launched an AI model sharing community called 'Lumi'. The platform integrates various functions including model sharing, workflow building, and LoRA training, although it is currently still in the internal testing phase. Product entrance: https://top.aibase.com/tool/lumi. The core highlight of Lumi is its model sharing and management features, allowing users to easily upload their developed AI models.

Real to cartoon is a timeless trend on social platforms, continuously evolving with new methods. For example, I just discovered this interesting Flux LoRA, which is expected to become popular on Xiaohongshu soon. This LoRA generates 4 real photos and additionally overlays a corresponding cartoon character on top. The effect is somewhat similar to the recent trending Cotton Candy Dolls on Douyin, where real photos and cartoon characters are layered together in one image, with a white outline around the cartoon character to enhance contrast.

Recently, a research team from Shanghai Jiao Tong University and Harvard University introduced a novel model fine-tuning method — LoRA-Dash. This new approach claims to be more efficient than existing LoRA methods, particularly in the fine-tuning of specific tasks, achieving the same results with an 8 to 16 times reduction in the number of parameters. This is undoubtedly a major breakthrough for fine-tuning tasks that require substantial computational resources. In the context of the rapid development of large-scale language models, the demand for fine-tuning specific tasks is steadily increasing. However, fine-tuning often

Fluxgym is a new training tool aimed at AI enthusiasts, designed to lower the barriers to model training. It has extremely low hardware requirements, needing only 12GB of VRAM to conduct AI model training, significantly expanding the participant base. By combining a simple front-end with a powerful back-end, Fluxgym provides an easy-to-use interface, allowing users to initiate the training process in just three simple steps. Its core advantages lie in support for low-spec devices, a simplified user interface, and a smooth training process, enabling AI newcomers to get started quickly.

FLUX.1-dev-LoRA is an innovative image generation model that specializes in merging elements of reality with illustrations to create unique visual effects. Trained based on FLUX.1-dev, it can depict foreground characters in an illustrated style while maintaining realism in the background, making it suitable for generating creative images on social platforms. Users can generate images that meet their needs by providing scene descriptions and character action prompts. Official prompt examples demonstrate how to describe for specific art style fusion. Online experience and model download links are provided.

ByteDance's open-source FLUX Dev's Hyper SD Lora has revolutionized AI drawing speed with its efficient image generation capabilities, shortening the traditional, lengthy process to just 8 or 16 steps. This move not only provides a fast track for creative realization but also establishes a demonstration space on Hugging Face, allowing users to directly experience the drawing effects of the 8-step Lora. Although there is some degradation in image quality, it has minimal impact for most users. Comparison examples show that the degradation is not significant when not enlarged.

The LoRA model Half_illustration based on Flux.1 is an innovative image processing tool that can transform ordinary photos into artistic works that blend photography and illustration elements. Users can simply describe a scene or add specific instructions (such as 'in the style of TOK'), and the model can generate visually striking pieces that are both real and dreamlike. This tool supports a wide range of creative scenarios, including fashion photography in specific styles, artistic creations, advertising design, and more.

"The 'Online FLUX' by fal.ai offers a revolutionary experience for drawing enthusiasts, introducing ControlNet and LoRA features that are ready to use out of the box without complex configurations. ControlNet simplifies modifying characters' expressions or controlling scene objects; the LoRA model supports online training, allowing users to customize and share models, promoting creative diffusion. This platform integrates with third-party functionalities, making drawing more flexible and personalized, supporting various styles from cyberpunk to Chinese aesthetics. The usability of the Online FLUX is profound."

Tencent's MetaGen Image Generation Large Model (Hunyuan DiT) has recently been upgraded to a 6GB VRAM version, making it easy for personal computer users to run. This version is compatible with plugins such as LoRA and ControlNet and has added support for the Kohya graphical user interface, lowering the threshold for developers to train personalized LoRA models. The Hunyuan DiT model has been upgraded to version 1.2, with improvements in image texture and composition.At the same time, Tencent ha

On June 25, Weimob Group announced the launch of an AI application product called 'WAI Pro,' designed specifically for enterprise-level clients. This product primarily targets brand merchants, 4A advertising companies, marketing operation teams, and content creation teams, offering three main categories of AI technical services: marketing insights, content creation, and business consulting.

Tencent's Hunyuan DiT model has announced the full open-sourcing of its training code, including LoRA and ControlNet plugins. LoRA is a technique for fine-tuning large language models that allows training models with specific characteristics using a small amount of data, without modifying the original model or increasing its size.

The Tied-Lora technology developed by NVIDIA aims to enhance the parameter efficiency of LoRA methods. By utilizing weight binding and selective training, it achieves an optimal balance between performance and trainable parameters. Experiments on different tasks and language models demonstrate that Tied-Lora can achieve comparable performance using only 13% of the parameters of the standard LoRA method. This technology significantly improves the parameter efficiency of the LoRA methods and achieves outstanding performance across various tasks.