Loras AI is an online LoRA training platform for creators, brands, illustrators and teams who want to fine-tune image models without downloading software or using a local GPU. Upload a small set of images to teach an AI model a recurring character, product or visual style, then generate new scenes online with the compatible fine-tuned model. Users can upload 4β30 JPEG, PNG or WebP images, review and edit captions, set a trigger word, monitor cloud training progress and reuse completed LoRAs from one workspace. The platform supports image generation with models including Krea 2, FLUX, Qwen Image and Z-Image, plus prompt-based image and video workflows involving Wan and LTX models. Practical use cases include consistent characters for comics, product scenes for online stores, brand visuals, style exploration and concept images. Loras AI removes the need for local GPU hardware, environment setup and separate dataset tools, while showing credit costs before training or generation. Its integrated training-to-generation workflow helps users move from reference images to reusable visual outputs in one web application.
This project is scheduled for launch! You can edit the description and categories until the launch day.
It will be featured on December 26, 2026.
Comments will be available once the project is launched.
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