One canvas for image assets
Place multiple images and prompts on a single visual workspace, then combine them into a new result. The page shows examples of mixing subject, background, and environment cues in one run.
LayerProof Vellum
LayerProof Vellum is a visual canvas for creating, combining, and exporting image assets from prompts and reference images. It is aimed at users who need a repeatable workflow for image generation, iteration, and multi-size output.
Overview
LayerProof Vellum is a visual workspace for creating and controlling image assets on one canvas. The page positions it as a place to mix reference images, prompts, and generation steps instead of treating each asset as a separate one-off task.
Its examples focus on image composition and iteration: combining multiple inputs, transforming existing images, generating from text, and exporting the results in different sizes. The product appears aimed at people who need a repeatable workflow for producing consistent image assets rather than a single static edit.
Core capabilities
Drag-and-drop prompt workflow
Drop images directly into the prompt area to seed a generation workflow instead of starting from text alone. This supports faster iteration when source images already exist.
Image-to-image generation
Transform existing images into new directions with image-to-image generation. The site shows examples that combine several notes or reference images into one coherent prompt.
Text-to-image generation
Generate visuals from text prompts when no source image is required. The page explicitly lists text-to-image generation as part of the workflow.
Parallel model runs
Run multiple models at once and review results in parallel. The Vellum page presents this as part of its power-focused workflow.
Multi-size export
Export assets at multiple sizes while keeping a consistent visual direction across formats. The page shows example outputs for 1:1, 4:5, 16:9, and 9:16.
Where it fits
Composite image creation
Create a new image by combining subject, background, and environment cues in one prompt-driven run. This suits teams that want to assemble a composed scene from multiple references.
Style and direction changes
Turn existing art or photography into a new style or direction without rebuilding the concept from scratch. The page highlights image-to-image generation for transformation work.
Batch asset production
Generate a set of related visuals from one prompt and keep them aligned across outputs. Batch generation and consistency messaging make this useful for repeated asset production.
Multi-format publishing
Produce platform-specific versions of the same asset in several aspect ratios. The page shows exports in 1:1, 4:5, 16:9, and 9:16.
Reference-led iteration
Work from reference material when the starting point is already visual rather than purely textual. Drag-and-drop prompting makes the canvas useful for iterating on existing images.
Pros and Cons
Pros
- Supports both image-based and text-based generation workflows on the same canvas.
- Makes it possible to combine multiple references in a single prompt-driven run.
- Includes batch generation for producing several assets from one setup.
- Shows multi-size export examples for common social and presentation aspect ratios.
- Positions consistency as a core workflow goal across repeated assets.
Cons
- The public page does not provide a detailed pricing breakdown or plan comparison for Vellum specifically.
- Integration details, team features, and supported file formats are not clearly documented on the Vellum page.
FAQ
What is LayerProof Vellum used for?
LayerProof Vellum is a visual canvas for building and combining image assets. It supports image-to-image generation, text-to-image generation, drag-and-drop prompting, batch generation, and multi-size export on the same workspace.
How does the workflow work?
The source shows Vellum working as a one-canvas workflow where you can drop in images, write an assistance prompt, and run image generation or mixing operations. It is positioned around creating and controlling image assets rather than editing a single final image in isolation.
What outputs does it support?
The public page shows drag-and-drop image input, assistance prompts, batch generation, and multi-size export. It does not provide a full onboarding guide or a complete list of supported output formats beyond example aspect ratios.
Is Vellum free to use?
LayerProof is described as free during its Private Beta phase on the site, but the Vellum page itself does not show a separate pricing table or paid plan details.
Quick Facts
- Category
- AI image generation
- Product
- LayerProof Vellum
- Source domain
- layerproof.app
- Primary workflow
- One-canvas image mixing and generation
- Notable outputs
- 1:1, 4:5, 16:9, and 9:16 examples shown
- Pricing signal
- Private Beta is described as free on the site
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