FLUX 3
FLUX 3 is a multimodal foundation model that jointly learns from images, video, and audio within one unified architecture, building a representation of how objects hold together, how things move, and how events sound. Built on the Self-Flow approach, it aligns multimodal generation and understanding in the same backbone so each modality constrains the others, sound matches impact, motion follows physical properties, and future events follow from the past. FLUX 3 can mix modalities and jointly generate images, video, and native audio from text prompts or references such as images, video, and audio. Its video capabilities include text-to-video, image-to-video animation, video-to-video transformation, generative video-and-audio continuation, keyframe-controlled transitions, multilingual dialogue, animated typography, diverse styles and aspect ratios, and agentic chaining into longer multi-shot sequences.
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Ideogram 4.5
Ideogram 4.5 is an AI image editing model designed for precise, iterative modifications while preserving the details of the original image. The model focuses on reducing pixel shifts, unintended color changes, texture artifacts, and other forms of image drift that can accumulate during multi-turn editing. Users can make targeted changes to color and lighting, text, product photography, interiors, architecture, old photographs, sketches, styles, framing, and depth. Ideogram 4.5 supports workflows where an image is repeatedly edited while surrounding elements need to remain consistent across each iteration. Its zoom editing capability allows users to modify regions of high-resolution images without downsizing the complete source image. By preserving the edges around edited crops, Ideogram 4.5 allows modified regions to be stitched back into the original image for applications such as product close-ups and large-format print.
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Ideogram 4.0
Ideogram 4.0 is an open image model at the forefront of design, built for open weights, multilingual text, precise layout control, editable elements, and realistic 2K images. It is a state-of-the-art open-weight image model for developers and enterprises that want to build, fine-tune, and run visual intelligence on their own hardware. Ideogram 4.0 was trained with a describe-to-structure-to-recreate loop, first reading scenes, backgrounds, text, and objects as structured data, then learning to rebuild images from that representation. This approach is designed to help the model understand composition before recreating it, giving teams more control over layout, objects, typography, and visual structure. It is built for real design work, especially brand, advertising, fashion, marketing, food, apparel, social, photography, and illustration use cases. Ideogram has led on text rendering since launch, and 4.0 adds bounding-box layout control so headlines stay readable.
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HiDream O1 Image 1.5
HiDream O1 Image 1.5 is a next-generation text-to-image model tuned for sharp detail, stronger prompt adherence, and more reliable text rendering. It lets users create stunning AI images from text directly in the browser, with no local GPU, no installation, and one focused online studio for generating, reviewing, and downloading results. It converts natural-language prompts into high-resolution images with crisp edges, balanced lighting, coherent composition, and stable visual structure across supported aspect ratios. Built for prompt fidelity, HiDream O1 Image 1.5 follows long, structured prompts closely, keeping subjects, attributes, styles, and scene layouts brief, even across multi-part descriptions and negative prompts. Users can generate square, portrait, and landscape images in 1:1, 3:4, 4:3, 9:16, and 16:9 ratios, making outputs ready for social, web, poster, banner, product, and print draft workflows.
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