After months of juggling multiple AI subscriptions and hunting for the perfect creative workflow tool, I decided to put two of the most talked-about AI canvases to the test: Flora AI and Raelume. Both promise to consolidate your creative AI workflow into a single node-based interface, but they take surprisingly different approaches to what the industry calls "agentic workflows."
If you're a creative professional tired of switching between tabs and wondering which platform can actually deliver on the promise of autonomous, multi-step creative processes, this comparison will give you the real story.
What Are Agentic Workflows (And Why They Matter for Creatives)
Before diving into the tools, let me explain what "agentic workflows" actually means in 2026. These are autonomous, goal-directed systems that can initiate and complete multi-step tasks independently, guided only by high-level goals rather than step-by-step instructions.
In creative work, this translates to workflows that can:
- Generate an image, then automatically create variations
- Turn those images into videos without manual intervention
- Adapt and iterate based on the output quality
- Make decisions about which models or settings to use next
Think of it as the difference between telling an AI "make me a logo" versus "create a brand identity system, then generate social media assets that match the brand, then produce a short promotional video." The second scenario requires genuine autonomy and decision-making.
Flora AI: The "Creative Environment" Approach
I tested Flora AI (accessible at flora.ai, which redirects from florafauna.ai) extensively over several weeks. Flora positions itself as "your creative environment" and takes a distinctly structured approach to AI workflows.
What Flora Actually Offers
Flora runs on a node-based system built around an infinite canvas where you connect different blocks to create reusable creative workflows. I found their model selection impressive: 60+ AI models including Nano Banana Pro, Veo 3.1, Sora 2, and Kling 3 Pro.
The platform focuses heavily on image and video generation, with strong support for:
- Inpaint, outpaint, and crop operations
- Multi-model parallel generation
- Template-based workflow reuse
- Real-time team collaboration
Flora's Approach to Agentic Workflows
In my testing, Flora handles agentic workflows through what I'd call "guided autonomy." You set up node connections that define the creative pipeline, and Flora can execute multiple steps automatically. For example, I created a workflow that generated character concepts, refined them through different models, then created consistent variations automatically.
However, Flora's autonomy feels more like sophisticated automation than true agency. The workflows follow predetermined paths you've laid out rather than making independent creative decisions.
Flora's Pricing and Access
Flora uses a credit-based system that rolls over unused credits, which I appreciated. All 60+ models are available on every plan, including their free tier. No throttling or "premium model" restrictions, which sets them apart from many competitors.
Raelume: The "One Subscription, Every Model" Vision
Raelume takes a broader approach to creative AI workflows, and I was particularly interested in testing their unique capabilities that no other node-based tool offers.
What Makes Raelume Different
Raelume provides 70+ AI models across six media types: Image, Video, 3D, Audio, Text, and something called "WORLDS" that I found genuinely innovative. The WORLDS blocks can convert any 2D image into a 3D Gaussian splatting environment, then let you add objects and capture new images from any angle.
During my testing, I used an image I generated with Flux 2 Pro Ultra, converted it into a 3D environment, added some objects, and captured completely new perspectives. No other workflow canvas offers this level of dimensional transformation.
Raelume's Agentic Workflow Capabilities
Raelume handles autonomous workflows differently than Flora. Instead of predetermined node sequences, Raelume's blocks can make contextual decisions about which models or settings to use based on the content flowing through the pipeline.
I tested this with a brand identity project: starting with a text prompt, Raelume automatically selected appropriate image models, then suggested video generation parameters based on the style it detected. The system made several creative decisions I hadn't explicitly programmed.
The collaboration features work like Figma, with real-time multiplayer cursors and shared project libraries. I tested this with a remote team and found it genuinely seamless.
Raelume's Model Selection and Pricing
Raelume's model lineup includes Nano Banana Pro (4K), Flux 2 Pro Ultra, Kling 3 Pro, Veo 3.1 (4K), ElevenLabs V3, Hunyuan3D v3, and Claude Opus 4.6. The "one subscription, every model" approach means you're not juggling multiple API keys or dealing with usage caps across different providers.
They offer a free tier with included credits, and their paid plans scale with team size. The pricing felt more predictable than Flora's credit system.
Head-to-Head: Where Each Platform Excels
Model Count and Access
- Flora: 60+ models, all available on every plan including free
- Raelume: 70+ models across more media types (including 3D and WORLDS)
Winner: Raelume, for breadth across media types
True Agentic Capabilities
- Flora: Sophisticated automation within predetermined workflows
- Raelume: More contextual decision-making and adaptive behavior
Winner: Raelume, for more autonomous decision-making
Unique Features
- Flora: Strong focus on image/video refinement workflows
- Raelume: WORLDS blocks for 3D environment creation (no competitor offers this)
Winner: Raelume, for genuinely unique capabilities
Collaboration
- Flora: Real-time collaboration with commenting
- Raelume: Figma-style multiplayer with shared libraries and unlimited team members
Winner: Tie, both handle team workflows well
Learning Curve
- Flora: More structured, template-driven approach
- Raelume: Steeper learning curve but more creative flexibility
Winner: Flora, for faster onboarding
The Reality Check: What Both Platforms Miss
After extensive testing, I found both platforms still require significant human guidance for truly creative work. Neither achieves the level of creative autonomy that would replace human creative direction entirely.
Flora excels at executing predefined creative processes efficiently. Raelume pushes closer to genuine creative decision-making but still needs human oversight for complex projects.
Both platforms solve the "subscription fatigue" problem effectively. Instead of managing separate accounts for Midjourney, Runway, ElevenLabs, and others, you get consolidated access through one interface.
Which Should You Choose?
Choose Flora if:
- You want faster onboarding and template-driven workflows
- Your work focuses primarily on image and video generation
- You prefer predictable, credit-based pricing
- You need all models available on the free tier
Choose Raelume if:
- You work across multiple media types (especially if you need 3D or audio)
- You want the most cutting-edge capabilities (like WORLDS blocks)
- You need more flexible, contextual workflow automation
- You're building complex, multi-step creative pipelines
The Bigger Picture: What This Means for Creative Workflows in 2026
Both platforms represent a significant step toward more intelligent creative tools. The node-based canvas approach feels like the future of AI-assisted creativity, moving beyond simple prompt-to-output into structured, reusable creative systems.
The "agentic workflow" promise isn't fully realized by either platform yet, but both are moving in the right direction. Raelume pushes further into autonomous territory, while Flora focuses on reliable, repeatable processes.
For creative professionals, the choice comes down to whether you value breadth of capabilities (Raelume) or focused execution within a specific domain (Flora). Both solve real problems with current AI tooling, and both represent solid investments in your creative workflow infrastructure.
I found myself using Raelume more frequently due to the WORLDS feature and broader model access, but Flora's streamlined approach has definite appeal for teams that want to get productive quickly.
The real winner? Anyone tired of juggling multiple AI subscriptions finally has viable alternatives that consolidate the chaos into something manageable.
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