LayerProof Vellum is a drag-and-drop AI image generation workflow designed for teams and individuals who need to produce consistent, on-brand visual assets at scale. It serves as a unified canvas where users can combine reference images, text prompts, and creative notes to generate finished images without switching between multiple tools. The core value of Vellum lies in its ability to streamline the creative process, allowing users to focus on the vision while the platform handles the technical heavy lifting. By keeping all assets and inspiration in one place, Vellum reduces friction and accelerates the journey from concept to final output.
Creative professionals often face the pain point of maintaining visual consistency across a high volume of image assets. Traditional workflows involve manually adjusting each image to match a specific style, which is time-consuming and prone to errors. Vellum directly addresses this by providing features like unmatched consistency, which locks in a style from the first asset to the hundredth. This solves the critical problem of brand dilution, ensuring that every generated image adheres to the same aesthetic guidelines without requiring manual intervention. For marketers and designers, this means they can deliver cohesive campaigns faster and with greater confidence.
One of Vellum's first major feature groups is its drag and drop workflow. Users can simply drag and drop images directly into the assistance prompt area, combining them with text notes to guide the AI. This intuitive interface eliminates the need for complex settings or coding, making it accessible to users without design expertise. The drag-and-drop capability also integrates seamlessly with the image-to-image and text-to-image generators, allowing for rapid experimentation. By enabling users to visually compose their inputs, Vellum speeds up the creative process and reduces the learning curve, making AI image generation practical for everyday use.
Another key feature is batch generation, which allows users to run multiple models at once and get results in parallel. This is particularly useful for producing a large number of assets quickly, such as for A/B testing or campaign variations. The batch generation workflow is displayed on the same canvas, where a single assistance prompt can generate multiple image results simultaneously. For example, the site shows three coffee image results generated from a single prompt. This parallel processing capability dramatically increases throughput, enabling teams to iterate on ideas faster and meet tight deadlines without compromising on quality or variety.
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Multi-size export is a third major feature that addresses the need for platform-specific image dimensions. Vellum enables users to export the same image in multiple aspect ratios, such as 1:1, 4:5, 16:9, and 9:16, directly from a single generation. This eliminates the tedious task of manually cropping or resizing images for different social media platforms, blog headers, or advertising formats. The feature is showcased with a coffee image that is exported in all four ratios, demonstrating how one creative concept can be adapted instantly for Instagram, Facebook, Twitter, and YouTube. This saves hours of repetitive work and ensures that every version maintains visual integrity.
Vellum also offers unmatched consistency through a dedicated feature that locks in a style across all generated variants. The site demonstrates this with a coffee branding example using a warm orange aesthetic, where eight different images are generated from a single style prompt. This consistency is achieved by allowing users to set rules, adjust styles, formats, and details to match their vision—as described in the 'more control' section. The workflow is designed so that the creative process starts from a single canvas, where users can drop images, write notes, and define parameters, and the AI produces outputs that adhere to those guidelines without deviation.
Real-world use cases for Vellum include creating seasonal campaign sets, where a brand can generate a series of images for holiday promotions with a unified look. Another scenario is producing SEO blog batch images, where multiple graphics for blog posts are created simultaneously, each with consistent branding. The site also highlights a research synthesis report workflow, which likely involves generating visual summaries from data. In each case, the outcome is a set of polished, on-brand images that can be used directly in marketing materials or publications. Users achieve a faster turnaround and higher consistency than traditional methods, freeing up time for strategic thinking and creative exploration.
Vellum is built for marketers, growth teams, consultants, researchers, journalists, and founders who need to produce high-quality visual assets at volume. It integrates with other LayerProof products like Kraft for long-form content and Matte for social media posts. The platform is free to get started, with pricing that scales with usage. Vellum's drag-and-drop interface makes design skills unnecessary; users just need to provide content and context. In summary, LayerProof Vellum empowers creators to maintain brand consistency across all image assets while dramatically reducing production time, making it an essential tool for any team that relies on efficient, scalable visual content generation.
LayerProof Vellum is built for marketers, growth teams, consultants, researchers, journalists, and founders who need to create consistent, high-quality visual assets at volume. It is ideal for those who regularly produce images for campaigns, blog posts, social media, and reports, and want to reduce time spent on manual formatting. Design skills are not required, making it accessible to content creators, brand managers, and entrepreneurs. The platform scales from individual creators to high-volume content operations, so small teams and large enterprises alike can benefit from its efficient drag-and-drop workflow and batch generation capabilities.