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Workflows

Workflows are the foundation of WRLDWIDE AI. They let you chain AI operations, process content at scale, and automate repetitive tasks — all through a visual interface. The platform supports two workflow modes: Dark Factory for pre-built content pipelines, and the Node System for custom workflows.

Workflow Types

Dark Factory Workflows

Pre-built pipelines optimized for e-commerce content production. Upload a product image and generate a complete content suite automatically.
  • Product photography and videos
  • UGC-style ads
  • Social media kits
  • Brand assets
Best for: E-commerce brands launching products, creating ad creatives, and scaling content production. Access: Dark Factory

Node System Workflows

Build custom workflows from scratch using 36 node types. Chain AI operations, add conditional logic, and create reusable templates.
  • Custom image and video pipelines
  • Batch processing
  • Conditional branching
  • Scheduled automation
Best for: Power users building custom pipelines, agencies with specific workflows, and automation scenarios. Access: Node System

Workflow Lifecycle

  1. Create — Build or select a workflow
  2. Configure — Set parameters, inputs, and options
  3. Validate — Check for errors and missing required fields
  4. Execute — Run the workflow and monitor progress
  5. Review — View, download, and share results
  6. Iterate — Save as template or re-run with modifications

Building Workflows

Starting Points

From Scratch

Start with an empty canvas. Add nodes, connect them, and configure each step manually.

From Template

Browse 60+ marketplace templates. Clone and customize for your needs.

From Recipe

Use Dark Factory recipes. Pre-configured service combinations for common use cases.

Workflow Components

ComponentPurposeExample
InputsStarting dataProduct image, text prompt, video file
ProcessorsTransform dataGenerate image, remove background, upscale
LogicControl flowIf/else conditions, filters, merges
OutputsFinal resultsDownloadable assets, shared posts, scheduled jobs

Running Workflows

Execution Modes

Single Run
  • Process one input through the workflow
  • Best for testing and one-off content
  • Results appear immediately
Batch Run
  • Process multiple inputs simultaneously
  • Uses List Node or Dark Factory batch mode
  • More efficient credit usage
  • Progress tracked per item

Credit Deduction

Credits are deducted as each node executes:
  • Image generation: 1–4 credits per image
  • Video generation: 8–24 credits per video
  • Processing: 1–5 credits per operation
  • Logic nodes: Free
Credit calculation: The workflow shows estimated credits before you run.

Execution Status

StatusMeaning
QueuedWaiting for resources
RunningCurrently processing
CompleteFinished successfully
FailedError occurred
CancelledUser stopped execution

Automation

Cron Scheduling

Schedule workflows to run automatically:
[Cron Schedule Node] → [Your Workflow] → [Output/Share]
Common patterns:
  • Daily content generation (0 9 * * *)
  • Weekly reports (0 9 * * 1)
  • Hourly monitoring (0 * * * *)
Access: Add a Cron Schedule Node to any workflow, or use the Schedule tab in Dark Factory.

Triggers

Future capability (on roadmap): React to events
  • New product added to Shopify
  • Trending content detected
  • Competitor ad spotted

Workflow Patterns

Pattern: Generate + Enhance

[Prompt] → [Generate Image] → [Upscale] → [Export]
Use case: Create high-quality product images at 4K resolution.

Pattern: Batch Process

[List (10 files)] → [Process] → [Export All]
Use case: Process an entire product catalog automatically.

Pattern: Conditional Route

[Input] → [If/Else: Is video?]
        → YES → [Video Processing]
        → NO → [Image Processing]
        → [Merge] → [Export]
Use case: Handle mixed media inputs with different processing paths.

Pattern: Scheduled Content

[Cron: Daily 9am] → [Generate Post] → [Social Share]
Use case: Auto-generate and post daily social content.

Managing Workflows

Workspaces

Save workflows as named workspaces:
  • Auto-saved drafts
  • Named templates
  • Shared team workflows
  • Marketplace submissions

Templates

Save successful workflows as templates:
  • Name and description
  • Default parameters
  • Thumbnail preview
  • Privacy (private, team, public)

Versioning

Track changes to workflows:
  • Save versions at milestones
  • Compare versions
  • Revert to previous version
  • See edit history

Best Practices

Performance

Process multiple items in parallel rather than running the workflow multiple times. List nodes are more efficient and cost-effective.
Run workflows on 1–3 items before processing 100. Verify outputs match expectations before committing credits to large batches.
Don’t overpay for quality you don’t need. Flux 2 Pro is excellent but costs more credits. Recraft V3 is cheaper and great for many use cases.
If a workflow fails mid-way, cached results let you resume from the last successful node instead of starting over.

Organization

Use descriptive names like “Product Photo to 4K Video” instead of “Workflow_v2_final.”
Document what the workflow does, expected inputs, and typical outputs. Your future self will thank you.
Tag workflows by type, client, or project for easier discovery.

Troubleshooting

Common Issues

  • Check all required fields (marked with *) are filled
  • Verify inputs are properly connected
  • Ensure sufficient credits are available
  • Check for circular dependencies in logic nodes
  • Review prompt quality — specific prompts yield better results
  • Check model settings — quality tier affects output
  • Verify input data quality — AI outputs depend on input quality
  • Test individual nodes to isolate the issue
  • Video generation takes 2–5 minutes per clip
  • Batch processes scale linearly with item count
  • Some models are slower than others (noted in model selectors)
  • Check if running in parallel or sequence
  • Check the execution log for error messages
  • Some processing failures still consume credits (AI provider costs)
  • Contact support with your run ID for credit review

Next Steps