Henry· AI author, human-reviewedAdobe Firefly Custom Models: Train AI on Your Own Art Style
Adobe opens Custom Models in public beta, letting creators train Firefly on 10-30 images to replicate their unique visual style. Here is what it means for AI video production workflows.
Adobe just handed creators the keys to something big. Custom Models, now in public beta, lets you train Firefly on your own artwork to generate images in your personal style. This is not a filter. This is not a preset. This is an AI that actually learns how you create.
What Custom Models Actually Do
Think about the frustration every brand designer and illustrator faces with AI tools. You generate something beautiful, but it looks like everyone else's output. Same smooth gradients, same glossy finish, same "AI look." Custom Models fix this by flipping the script: instead of adapting your style to the AI, the AI adapts to you.
Upload 10 to 30 of your best images (minimum 1000px, up to 16:9 aspect ratio), wait somewhere between 30 minutes and 2 hours, and you get a personalized model that reproduces your visual identity. Character designs, illustration styles, photographic looks, whatever defines your creative fingerprint.
How Training Works
The process is surprisingly simple. You select your training images, choose a model type (character, illustration, or photography), and let Firefly do the rest. Adobe recommends variety in your training set: different angles, lighting conditions, and compositions that represent the full range of your style.
Adobe recommends JPG or PNG files at minimum 1000px resolution. Include variety in your training set: different angles, lighting, and compositions that represent your complete style range.
Once trained, your model appears alongside Adobe's default options in the Firefly interface. Generate images using standard text prompts, and the output carries your distinctive visual language. Stroke weight, color palettes, lighting choices, compositional preferences, the model captures the patterns that make your work recognizable.
Stroke weight and line quality, color palette tendencies, lighting style, compositional patterns, texture preferences, and overall aesthetic coherence across generations.
Creative intent, conceptual thinking, narrative context, client communication, and the decision-making process that separates a good image from a great one.
The IP Protection Question
Here is where Adobe differentiates from the open-source crowd. Your training images stay yours. Adobe explicitly states that uploaded training data is not used to improve its own foundation models. No ownership claims on your generated output. The Content Authenticity Initiative credentials screen uploads to prevent misuse. You certify rights to every image in your training set.
Adobe does not use your Custom Model training data to train its own foundation models. Your style, your images, your IP.
For studios, agencies, and freelancers who build careers around a recognizable visual identity, these protections matter more than any feature. Without them, training an AI on your portfolio would be handing away your competitive advantage.
30+ Models and Counting
Custom Models do not exist in isolation. They join a growing library of over 30 models inside Firefly's interface. Google Nano Banana 2, Veo 3.1, Runway Gen-4.5, Kling 2.5 Turbo, and Adobe's own Firefly Image Model 5 all sit in the same workspace. Adobe is becoming a model aggregator, not just a model maker.
Model Marketplace
Pick from 30+ models including your own custom ones. Switch between Runway, Google, Kling, and Adobe outputs in the same workspace without leaving the browser.
This aggregation strategy is clever. Instead of betting everything on their own model quality, Adobe provides the best interface and lets creators choose the best engine for each task. Your custom model for character consistency, Veo for video generation, Runway for editing, all under one roof.
Why This Matters for Video Production
The blog post you are reading sits on Bonega.ai, an AI video platform. So why cover image model training? Because visual consistency is the missing piece in AI video workflows.
Consider a typical video production pipeline:
Concept Art
Generate character designs and environments in your style using Custom Models
Storyboard
Create consistent frame-by-frame storyboards with the same trained model
Video Generation
Feed consistent reference images into video models like Veo or Runway
Character consistency has been one of the biggest challenges in AI video. You generate a character in one frame, and they look completely different in the next. Custom Models give you a reference point: generate all your key frames from the same trained model, then use those as anchors for video generation.
Combined with Quick Cut for auto-editing raw footage and Prompt to Edit for natural language video adjustments, Custom Models complete Adobe's AI creative pipeline. Generate in your style, edit with language, assemble automatically.
The Bigger Picture
Custom Models arrive in a month where funding and launches are accelerating. PixVerse closed a $300 million round to reach unicorn status. Video Rebirth pulled in $80 million to build industrial-grade AI video generation. Runway demoed real-time generation at GTC with time-to-first-frame under 100 milliseconds on the Vera Rubin platform.
March 2026 has seen over $380M in AI video funding alongside major product launches from Adobe, Runway, and PixVerse.
The competitive dynamic has shifted. Raw generation quality is converging. The models all produce impressive results. What separates platforms now is creative control, workflow integration, and personalization. Adobe's Custom Models are a direct answer to that shift: give creators ownership over the output style, not just the output itself.
Who Should Try This
- ✓Brand designers who need consistent visual identity across campaigns
- ✓Illustrators building a recognizable portfolio style
- ✓Video producers who need consistent character designs
- ✓Agencies managing multiple brand guidelines
- ✓Hobbyists who enjoy the randomness of AI generation
Custom Models is in public beta now. Training costs 500 Firefly credits per model, and results appear in your Firefly workspace within two hours. If you have a visual style worth protecting and replicating, this is worth testing today.
For a deeper look at how the industry reached this point, check out our AI Video 2025 retrospective. The era of generic AI output is ending. Your style, your model, your work.
Sources
Creative technologist from Lausanne exploring where AI meets art. Experiments with generative models between electronic music sessions.
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