Scenario is a creative AI platform built for studios and teams that want custom models trained on their own art, so every generated asset stays on style. Picasso IA is a catalog of 488 ready-made models across image, video, audio and 3D, with free credits to start, an API, an MCP server and an agent, and nothing to train first.
Picasso IA and Scenario both generate images, video and 3D from a prompt, and both let you reach models from more than one lab, so on paper they overlap more than most pairs on this site. The difference is what each one is arranged around. Scenario is built for studios, game teams and brand teams who need a consistent look: you bring your own art, train a custom model that learns that style, and then generate assets that match it, with a visual builder for chaining steps into a repeatable production pipeline. Picasso IA is arranged around choice: 488 models across twelve categories, each with its own page, used directly in the toolkit, from code through an API, from inside an MCP client, or by describing a goal to an agent in a chat.
If your project is a game with a fixed art direction, a hundred props and characters that all have to look like they came from the same hand, Scenario is built for that job and we are not. Picasso IA has no step where a model learns your style from a folder of your art, so a consistent look here comes from choosing a good model, writing a careful prompt and attaching references, which is real work and does not match a trained style model for a long production run.
If instead your work moves between formats and styles, a concept image on Monday, a short clip on Tuesday, a voiceover on Wednesday, a 3D mesh on Thursday, and you would rather pick from ready models than prepare training data first, Picasso IA is the shorter path. The sections below cover what each side gives you free, what paying changes, how each one generates, what each covers, and who should pick which. Where Scenario is genuinely stronger, which is more than one place, this page says so at length.
Eleven rows. The first seven are a yes or a no for both products, and the last four need a phrase because a tick cannot describe them honestly.
| Feature | Picasso IA | Scenario |
|---|---|---|
| Text-to-image generation | Yes | Yes |
| Text-to-video generation | Yes | Yes |
| Image upscaling | Yes | Yes |
| 3D asset generation | Yes | Yes |
| API for generating from your own code | Yes | Yes |
| Training a custom model on your own art | No | Yes |
| Visual builder for multi-step production workflows | No | Yes |
| Model catalog | 488 ready models, no training | Your trained models plus third-party ones |
| Keeping one style across assets | Reference images and model choice | A model trained on your art |
| Typical user | Mixed creative work, many formats | Game studios and brand teams |
| First step | Choose a model, write a prompt | Upload art and train a style |
Scenario leads on 2 rows, Picasso IA leads on 0, and the other 9 come down to what you need.
Zero wins on the yes and no rows for us is the honest count, and it deserves a plain reading. The two rows Scenario wins are the two that define it: a model that learns your art, and a builder that turns a good generation into a repeatable pipeline. If either is central to your project, the rest of the table will not change your mind. What we bring is not on that list because a tick cannot show it: a wider spread of formats and models behind one account, and an agent in a chat that picks models for you, which the sections below explain.
A new Picasso IA account starts with free credits that spend on the same 488 models everyone else uses, not on a cut-down demo. You can run an image model, a video model or a text-to-speech voice before deciding anything, and you can browse the collection and the effects gallery without paying, which shows what the catalog really produces. The interface runs in English, Spanish, Portuguese, French, Arabic and Hindi.
Scenario also has a free plan, so you can start without paying. Exactly how much it includes, and which of the training and production tools a free account can reach, is Scenario's own information to publish and it changes, so look at its site for what is current rather than trusting anything copied here.
The honest split: if you want to generate something in the next five minutes with zero preparation, Picasso IA is where that happens from the first click. If what you want to test is the thing Scenario is known for, whether a model trained on your own art really holds your style, you need to try that on Scenario, because nothing on our side imitates that test.
On Picasso IA, paying buys credits, and credits are the whole economy. Every generation shows its cost before you run it, heavier jobs such as video cost more than a still image, and the cost depends on the model and the settings you choose. Current numbers live on the pricing page, and we keep them there instead of in articles because plans change and a stale figure helps nobody.
On Scenario, paying moves you up to larger plans built for teams and studios. What each plan includes, and which tools it unlocks, is Scenario's to state, and we deliberately do not repeat it here, since a tier copied into an article is wrong the next time the plan changes.
A practical way to choose is to be honest about where your effort goes. If most of it goes into getting one art style to repeat across hundreds of assets for a team, paying for a platform built around trained style models is paying for the thing you actually need. If most of it goes into trying different models and formats, with the cost visible each time, credits that follow you across all of them fit better. Both can be right in different months of the same project.
This is the section that decides the comparison, so it is the longest, and it is where Scenario's real strength deserves room rather than a passing mention.
Scenario generates through models that learn from you. You upload art you own, such as character sheets, environment paintings, icons or a full set of finished assets, and the platform trains a custom model on that material. From then on a prompt does not start from a generic look: it starts from yours. For a game, this is the difference between a hundred props that sit in one world and a hundred props that each look like a different artist drew them. It is also why a studio can hand the same trained model to several people and expect matching results, and why your art stays the source of the style instead of a prompt trick. Scenario also reaches third-party models, so you can reach models from other labs for jobs your own style does not cover, and a visual builder lets you chain generation, upscaling and edits into a pipeline you run again and again. That combination is built for production, not for experimenting.
Picasso IA does not train a model on your art, and it does not build its own foundation model. We select and maintain the 488 models in the catalog, and every one has its own page where you use it directly: FLUX 2 Pro for photographic detail, Seedream 5 Pro for illustration, nano banana for edits that leave the rest of the picture alone, Recraft V4 for clean vector and design work, Ideogram v3 for images that need readable lettering, Kling v3 and Veo 3.1 for video. When a stronger model ships it appears next to the older one, and picking a model is the whole skill. The toolkit runs all of them: choose a model, write a prompt or attach files, generate.
Where does that leave style consistency? You can get a long way with a model you trust, a fixed prompt template, and a reference image attached to each generation, and for a short project, a prototype or a game jam, that is often enough. Our guide to AI game assets covers how far that approach goes. What it cannot do is learn your style and then hold it for you across a long production run. That job belongs to a trained model, and if your project is that kind of project, Scenario is the better tool.
Picasso IA also gives you three other ways in besides the toolkit. You can call the same models from your own code through one API for all models: create a key in your account, send a request naming a model and its inputs, get the file back. You can generate inside a conversation from an MCP-capable client such as Claude Desktop, Claude Code or Cursor through the MCP server. And you can use Supercomputer, an agent in a chat where you describe the result in plain words, it plans the job, picks models from the catalog, renders the steps and shows you the result, and you steer in the same conversation. That last one is a different product from the toolkit: the toolkit is where you pick the model yourself, the agent is where you do not have to. See the creative agent.
For still images, both products have plenty. Scenario's stills are the centre of its design, because the trained style model exists to make images, sprites, icons and concept art that match yours. Picasso IA covers text to image from many labs, with different strengths for photographic, illustrated, vector and text-heavy work, and no single look is baked in. If you need your look, Scenario. If you need to move between looks, Picasso IA.
For video, both generate it, and the difference is the same as for stills: Scenario brings video into the same workspace as your assets, while Picasso IA offers a spread of engines, including Kling v3 and Veo 3.1, with image to video so a finished still becomes the first frame of a shot. A game trailer or a short animated loop made from approved art is a reasonable use of either.
For audio, Picasso IA's catalog includes text to speech, music generation, speech to text and lipsync models, which is useful when a game needs placeholder voices, a theme sketch or captions. Our page on game character voices shows the workflow. Scenario lists audio among the formats it covers, though its centre of gravity is visual assets, so if sound matters to your pipeline, check what it offers against what you need.
For 3D, both generate assets. On Picasso IA, image to 3D runs through models such as Hunyuan3D 3.1 and Rodin, which turn a picture into a mesh you can export, a good fit for turning approved concept art into a first-pass prop. Scenario also makes 3D assets, in the same workspace as its other formats. If 3D is your main job, our Meshy comparison covers a tool built around it.
On pixel art and sprites, be realistic about both. A general model can produce a pixel-style image, but clean, grid-aligned, animated sprite sheets that drop straight into an engine are a specialist job, and a trained style model is a stronger route to them than a prompt. Our notes on pixel art and sprites say what to expect.
Picasso IA treats editing as a set of dedicated models that accept any image, whether you made it here or not. Upload a phone photo or a flat sprite and remove its background with a background-removal model such as Bria's, raise the resolution with an upscaler such as the Topaz image upscaler, or ask nano banana for a specific change like recoloring a coat without touching the face. Each model page shows the cost before you run it, so trying an upscaler on one real file is a cheap test.
Scenario's editing is shaped by the pipeline. Upscaling, background changes and refining an asset are steps you attach to a workflow, so the same cleanup happens to every asset in a batch and the result stays inside a project your team can open. That is a real advantage when the thing you are producing is two hundred icons, because the edit is part of the process instead of a separate trip to another tool.
The practical split: a single image that needs one fix, or a pile of unrelated files, goes faster through Picasso IA's tools, which you can also script through the API. A repeatable set of assets that must all go through the same cleanup is what Scenario's builder is for. Neither replaces a layered editor for hand retouching, and for sprite sheets and tilesets you will still finish in an image or pixel editor on your machine.
Speed on Picasso IA depends on the model. Light image models answer in seconds, heavier frontier models take longer, and video takes minutes, because video is expensive to compute anywhere. The cost in credits follows the same pattern and is shown before you commit. For heavy batches, the API and the toolkit run the same models, so a loop in your own code and a click in the browser behave alike.
Speed on Scenario depends on the model, the size of the job and, for custom styles, on the training you did first. Training on your own art is an extra step you plan around before the first on-style asset, and how long it takes and how many generations run in parallel are Scenario's numbers to publish, so we do not quote any. Check its site for current behavior, especially if a deadline depends on it.
Licensing deserves care on both. On Picasso IA, the terms for what you generate come from each model and from the platform rules, so read the page of the model you depend on before shipping a game with its output. On Scenario, read its terms for the assets you generate and for the art you upload to train on, because the training data and the outputs are two different questions. Whichever you use, a licence does not remove the risk that a generated asset resembles an existing character, brand or a distinctive artist's style, and a game store may ask how art was made, so keep your own record of it.
Eight honest reasons, four per side, condensing everything above. If your real question is about a community of shared models and LoRA files rather than a studio platform, our Civitai comparison fits better, and if you are weighing a general image generator with its own style tools, see the Leonardo AI comparison.
Choose Picasso IA instead when you want to compare models before committing to a look, move between image, video, audio and 3D under one account, call everything from an API or an MCP client, hand a whole job to an agent, or start with free credits and no data to prepare.
Most people who try both end up using each for the job it suits, so treat this as adding a tool rather than leaving one. Keep your trained models and projects on Scenario exactly as they are while you test, because nothing here requires giving them up.
For exploring models and moving across image, video, audio and 3D without preparing anything, yes. For keeping one trained art style across a large set of game assets, no. Picasso IA gives you 488 ready models and a quick way to see which one fits an idea, but it has no workflow that learns your style from your own art. If a consistent look across a long production is the whole requirement, Scenario was built for that and we were not.
No. Picasso IA is built around choosing among ready models, not around training your own, so it has no workflow that learns a style from a folder of your art and ties every later generation to it. What you can do is attach reference images, keep a fixed prompt template and pick a model that suits the look. For a short project that works well, and for a long run of matching assets a trained model is the stronger route.
Up to a point. A good model, a reusable prompt and a reference image on each generation get you a recognisable look for a prototype, a jam or a small set of props, and our guide to AI game assets walks through it. The limit shows up at volume: across hundreds of assets, small differences add up, and a model trained on your art holds the style more reliably than prompting does.
Yes, image to 3D models in the catalog, including Hunyuan3D 3.1 and Rodin, turn a picture into a mesh you can export, which suits a first-pass prop or a base to refine in your usual 3D tool. Expect to clean the result up before it goes into an engine. Scenario also generates 3D assets, so this is a place where both can serve you rather than a gap on either side.
Yes, and many teams will. A sensible split is Picasso IA for the open phase of a project, trying several models on the same idea, producing concept images, clips, voices and meshes, and Scenario for the settled phase, training a model on the approved art and running the production pipeline. Nothing about one account affects the other, and you do not have to export anything to try the second.
Yes to both. You create a key in your account, send a request that names a model and its inputs, and get the generated file back, with the same models and the same credits as the toolkit (see the image generation API). The MCP server lets clients such as Claude Desktop, Claude Code and Cursor generate images, video and voice from the catalog inside a conversation.
We avoid printing numbers for either product, because prices and allowances change and a stale figure misleads more than none. Picasso IA works on credits: every generation shows its cost before you run it, and the cost depends on the model and the settings. Current numbers are on the pricing page. Scenario's plans, and what each includes, including the training side, are on its own site and change independently of anything we control.
Check before you ship. On Picasso IA, read the licence of each model you use and the platform rules, because terms can differ between models and we do not promise a blanket answer. On Scenario, read its terms for the outputs and for the art you train on. Either way, look at an asset for resemblance to existing characters, brands or a living artist's style before it goes into a release, and ask support if something is unclear.
No. There is no partnership, no affiliate arrangement and no payment in either direction between Picasso IA and Scenario, or any other product named on these pages. Scenario appears here because people choosing between a broad catalog and a platform trained on their own art search for exactly this comparison, and the most useful thing we can offer is an honest answer instead of a sales page in disguise.
Yes, genuinely. It solves a hard problem for game studios and brand teams: getting an AI to follow one art direction instead of a thousand, by training on the art you already own, and then wrapping that in a builder that makes the process repeatable for a whole team. It also reaches third-party models, so it is not a closed box. If that describes your project, it is better suited to it than a catalog, and choosing it is the right call.
Both tools reward a clear idea of the job, and the cheapest way to see which one fits is to run one real asset through each. Open the toolkit with a prompt you already trust, spend the free credits, and see which models earn a place in your pipeline.
Choose your language
