Virse vs Lovart: an agent led by your Brand Kit, or a canvas linked by your references?
Both are AI design agents on a canvas. They differ in how a brand and references reach each result.
Lovart may suit you better if you want an agent to turn a brief and a Brand Kit into finished, editable assets. Virse may be a better fit if you want to see and control which references, aesthetics and tools feed each generation. Based on public documentation, September 2026.
The Virse canvas, set beside Lovart's agent workflow
Generated campaign images arranged for review on the Virse canvas.
From a brief to the first round
Both products start from a request and put the results on an infinite canvas. This group compares what happens between the brief and the first set of results, including how each one gathers references.
Dimension
Virse
Lovart
Source
Where the work happens
An infinite canvas where references, briefs and notes, documents and alternative results sit side by side. Image, video, text, search, Virse Creator and smart-tool nodes are added on the canvas.
An infinite Canvas with frames, shapes, freehand drawing and editable text layers. Images and videos can be uploaded or dragged onto it for selection and editing.
Virse Creator is an AI design agent on the canvas. Give it a task and references (images, Word, PDF); it plans steps, searches for references, calls models and tools, and produces images, video and Word/PDF documents. It continues from the conversation's earlier requirements and results rather than starting over.
You give the Agent a prompt, a reference file, a Brand Kit or all three. It routes the request across 30+ image and video models, handles generation and AI editing, and delivers finished assets on the Canvas.
40+ models (21 image, 16 video, 4 text), including GPT Image 2.5, Nano Banana Pro, Seedream 5.0 Pro, Veo 3.1 and Kling 3.0. You choose the model per generation along with aspect ratio, resolution and quality, and estimated compute is shown before generating.
With Auto on, the Agent picks models for the task; with Auto off, you set preferred image, video or 3D models. An @ mention locks a model, and the Image and Video Generators run a chosen model directly, bypassing the Agent.
Drag a connection from one node to another and it becomes a reference for the next generation, such as a product shot into an image node or an opening image into a video's first frame. The reference area shows which references a generation uses, and references can be added or removed there.
Type @ to mention models, Brand Kits or canvas elements as context for the current task. Each input can hold up to 10 elements in total, including files, images and mentions.
Search and browse reference images, then save them to asset management or bring them onto the canvas. A search node runs a search on the canvas, optionally with reference images and an aesthetic.
Web Search brings real-time web data into the Agent's context. Turn it on, ask for a search in the prompt, or paste a public URL for Lovart to analyse.
A first round is rarely the last one. This group compares how each product carries a look and a process into the next round, what you can do to a result, how documents enter the work, and where reusable assets live.
Dimension
Virse
Lovart
Source
Carrying a brand or a look
Build a reusable aesthetic from 1–20 reference images (colour, composition, lighting, material, mood). Aesthetics can be used in generation, search and Virse Creator, saved to folders and shared. Official aesthetics are also available in the community library.
A Brand Kit stores a logo, colours, fonts and design guidance. Add them manually or upload a brand book PDF for Lovart to extract, then apply the kit to a whole project or @-mention it for one generation. Each brand can have its own kit.
Smart tools package the inputs, process and output requirements of a repeated task. Reuse one with new material, run a batch of similar assets the same way, share it with the team, or let Virse Creator call it. Official tools can be added from the community.
Lovart Skills are one-click workflows for branding, marketing, social media, e-commerce and video; the Agent asks for missing details and moves through the steps. Custom Skills save a successful conversation as a reusable Skill.
Re-render replaces the current result; render new keeps it and adds another for side-by-side comparison; clone creates an empty node with the same prompt, settings and references. Local (object) editing is experimental; remove background, expand and upscale are available.
Mark (Touch Edit) targets up to 10 marked elements per prompt. Edit Elements separates an image into layers you can move and resize, and Edit Text changes the words inside an image while keeping the original font and style.
Word (.docx) or PDF files up to 100 MB can be uploaded to the canvas or asset management; Word can be read, edited and saved online, and PDFs can be paged, zoomed and downloaded. Virse Creator takes Word and PDF files as references and can produce Word/PDF documents.
Upload Files imports images, videos and PDFs into the Agent conversation as references for the task, up to 10 items per input. To place images and videos directly on the Canvas, Add to Canvas is used instead.
Asset management holds images, videos, documents, canvases and aesthetics in folders. Star, move, copy, batch-manage, restore from trash, and share with permissions.
The Assets Library stores character, audio and video assets, preloaded or uploaded, for reuse across projects. Selecting one attaches it to the prompt as an @ mention.
Where Virse differs from Lovart's Brand Kit and Skills
Connections
See which references each generation uses
Drag a connection from a product shot into an image node, or from an opening image into a video's first frame, and it becomes a reference for the next generation. The reference area shows which references a generation uses, and you can add or remove them there. Re-render replaces a result; render new keeps it and places another beside it for comparison.
Aesthetics
A look built from your own references
Build a reusable aesthetic from 1–20 reference images that capture colour, composition, lighting, material and mood. Use it in generation, in search and with Virse Creator, save it to a folder and share it. Official aesthetics are also available in the community library.
Smart tools
Repeated work, packaged once
Package the inputs, process and output requirements of a task you keep repeating as a smart tool. Run it again on new material, process a batch of similar assets the same way, share it with the team, or let Virse Creator call it. Official tools can be added from the community.
Lovart or Virse: which fits your next brief?
Both are AI design agents with an infinite canvas. The split below follows what each product documents publicly, including the cases where Lovart may suit you better.
A good fit for
✓You want to see which references feed each generation and add or remove them in one place
✓A look should come from a set of 1–20 reference images and be reused in generation, search and the agent
✓Repeated tasks should become smart tools the team can share, run in batches or hand to Virse Creator
✓You want Word briefs you can read, edit and save online on the same canvas as the images
✓You want canvas-level link permissions and per-member compute caps documented up front
Not the best fit for
×You want to hand an agent a prompt, a reference file and a Brand Kit and get finished assets back
×Your brand lives in a logo, colours, fonts and a brand book you want parsed into a Brand Kit
×You need to change the words inside a generated image or split it into editable layers
×Deliverables have to leave as PSD, SVG, HTML or PPTX with editable text
×You want one-click Skills for branding, social media, e-commerce and video tasks
Moving a Lovart project to Virse
Plan the move as a rebuild of the direction rather than a file transfer. Bring the finished files and brand material across as uploads, then set the direction up again on the Virse canvas.
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Step 1. Export your Lovart files and brand material
Download the finished assets and the brand material you are authorised to move. Lovart exports images as PNG or JPEG, video as MP4, slides as PDF or PPTX and multiple objects as PSD, so check which formats your team needs before you start.
02
Step 2. Build an aesthetic from your approved references
Sign in to Virse and upload the approved references to asset management. Pick 1–20 of them that show the colour, composition, lighting, material and mood you want, and build a reusable aesthetic from them. Save it to a folder so the rest of the team can use it.
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Step 3. Put a current Lovart brief on the Virse canvas
Take a real brief, not a test prompt. Drop the references and any Word or PDF brief onto the canvas, connect the references to an image node, and generate. Then give the same task to Virse Creator with the aesthetic applied, and use render new to compare results side by side.
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Step 4. Compare the pilot with your Lovart results
Compare the pilot against the criteria you set before you started: whether the direction held across rounds, whether reviewers could see which references each result used, and whether a repeated step is worth packaging as a smart tool. Move the rest of the team only after that.
Example creative boards
Brief led board: a reference palette with three photographic directions.
Campaign board: one hero composition, a detail study and a scene variation.
Direction board: one product form explored across materials and lighting.
Common questions
What is the main difference between Virse and Lovart?+−
Both are AI design agents that work on an infinite canvas. Lovart's documentation describes an agent that takes a prompt, a reference file or a Brand Kit, picks models across 30+ image and video models and returns finished, editable assets. Virse puts its agent, Virse Creator, alongside image, video, text, search and smart-tool nodes, and connections show which references each generation uses. Lovart may suit you better if the job is brief in, assets out; Virse may be a better fit if you want to see and control which references, aesthetics and tools feed each generation.
Does Virse have an AI design agent like Lovart?+−
Yes. Virse Creator is an AI design agent on the canvas. Give it a task and references such as images, Word files or PDFs; it plans steps, searches for references, calls models and tools, and produces images, video and Word/PDF documents. It continues from the conversation's earlier requirements and results rather than starting over. Lovart's Agent also offers one-click Skills for common tasks.
How do Lovart's Brand Kit and Virse aesthetics differ?+−
They store different things. A Lovart Brand Kit holds a logo, colours, fonts and design guidance, can be parsed from a brand book PDF, and is applied to a project or to a single generation. A Virse aesthetic is built from 1–20 reference images and captures colour, composition, lighting, material and mood; it can be used in generation, search and Virse Creator, and saved to folders and shared.
Can I reuse a workflow in both products?+−
Yes, in different ways. Lovart's Custom Skills save a successful conversation as a reusable Skill that you rerun on new inputs. Virse smart tools package the inputs, process and output requirements of a repeated task, so you can reuse one with new material, run a batch of similar assets the same way, share it with the team, or let Virse Creator call it.
How do Virse and Lovart compare on price?+−
Virse meters usage in compute. New accounts start with 200 free compute, and the Free plan tops up 50 compute a day while the balance is below 200. Free users can use every image model at 1K output; video models need a paid plan. Basic is $10/month, Pro and Max include unlimited generation on selected models and tiers, and on paid plans compute credits never expire. Checked on the Virse pricing page on 2026-09-24. Lovart has a free plan, and its subscription FAQ lists Starter, Basic, Pro and Ultimate at 2,000, 3,500, 11,000 and 27,000 credits a month; subscription credits reset on the next billing date and do not roll over, and top-up credits are valid for 366 days from purchase. A Lovart credit and a Virse compute unit are priced differently, so compare plans within each product rather than across them. Plans, included compute and feature limits may change. Check the current Virse pricing page for the latest details, and Lovart's pricing page for its current terms.
How current is this comparison?+−
The sources were reviewed on 2026-09-24. This is a comparison of public documentation, not hands-on product testing, and each table row links the Lovart page it relies on. Features, offers and prices change, so confirm the current terms before subscribing. If you find a row that no longer matches what either product does, tell us at yifan@virse.art so we can review it.
Put your next Lovart brief on a Virse canvas
Sign up, build an aesthetic from a few approved references, and put a real brief on the canvas with Virse Creator. The second round is where you will see whether Virse fits the way your team works.