The “aha” moment: Watch non-technical team members, clients, or stakeholders use your complex AI workflows as easily as filling out a web form. What took you hours to perfect in ComfyUI now takes them seconds to use effectively.
Automatic Magic: Every workflow you deploy instantly generates its own playground. No additional configuration, no UI development, no user training required. Your ComfyUI logic becomes a professional web application automatically.
Sharing Your AI Innovation
Ready to see your workflow in action through fresh eyes? Opening a playground transforms the experience from “let me show you how this works” to “try it yourself and see what you can create.”Opening Your User-Friendly Interface
1
Navigate to API Server
Go to the API Server section of your project from the main navigation
2
Find Your Deployed Workflow
Locate the workflow you want to test in the Deployed Workflows list
3
Expand Workflow Details
Click to expand the workflow entry to reveal additional options and information
4
Open Playground
Click the “Open Playground” button to launch the playground interface in a new tab

Playground Interface
Interface Design: Complexity Hidden, Power Preserved
Here’s where thoughtful design shines: Your playground presents a clean, intuitive interface that hides all the ComfyUI complexity while preserving every bit of your workflow’s creative power.Design philosophy: Users see only what they need to control, in language they understand, with guardrails that prevent mistakes. Your sophisticated AI logic becomes as approachable as any consumer web application.
- Left Column - Inputs
- Right Column - Outputs
Input Controls
- Parameter fields based on your workflow configuration
- Input types match your FlowScale I/O nodes (text fields, sliders, image uploads)
- Default values pre-filled from your workflow settings
- Generate button at the bottom to execute the workflow

Input Field Types
The input fields in your playground directly correspond to the FlowScale I/O nodes you configured:| Input Node Type | Playground Control | Description |
|---|---|---|
| [FS] InputText | Text area/field | Multi-line or single-line text input |
| [FS] InputImage | File upload | Drag-and-drop or click to upload images |
| [FS] InputNumber | Number input | Numeric field with validation |
| [FS] InputSlider | Range slider | Interactive slider with min/max values |
Interface refinement: If the playground doesn’t feel quite right, you can always refine your workflow I/O configuration to better match your users’ needs. Great interfaces evolve through real user feedback.
GPU Status Monitoring
Understanding GPU States
The top-right corner of every playground displays real-time GPU status information:Idle
Gray indicator: GPU is ready and waiting for requests. Fastest response time for new generations.
Running
Green indicator: GPU is actively processing your request. Generation in progress.
Cold Starting
Orange indicator: GPU is warming up and loading models. First request after idle period.

Performance Implications
Idle State
Idle State
- Response Time: Immediate (< 1 second to start)
- Best For: Interactive testing and real-time workflows
- Cost: Active compute resources maintained
Cold Starting
Cold Starting
- Response Time: 30-120 seconds initial delay
- Occurs When: First request after period of inactivity
- Best For: Batch processing and non-time-sensitive tasks
- Cost: Lower cost as resources scale to zero when unused
Running State
Running State
- Response Time: Depends on workflow complexity
- Queue Behavior: Additional requests queue until completion
- Best For: Sequential generation tasks
- Monitoring: Progress indicators show generation status
Using the Playground
Running Your Workflow
1
Configure Inputs
Fill in the required input fields on the left side:
- Enter text prompts, descriptions, or parameters
- Upload reference images if your workflow requires them
- Adjust numeric values and sliders to your preferences
2
Initiate Generation
Click the Generate button at the bottom of the left column to start the workflow
3
Monitor Progress
Watch the GPU status indicator and any progress bars that appear during generation
4
Review Results
Generated outputs appear in the right column as they become available
Generation Process
During generation, you’ll see:- Progress indicators showing workflow execution stages
- GPU status updates reflecting current processing state
- Partial results appearing as they’re generated (for multi-step workflows)
- Completion notifications when generation finishes
Generation time varies based on workflow complexity, model size, and current GPU state. Simple text workflows may complete in seconds, while high-resolution image generation can take several minutes.
Sharing and Collaboration
Shareable Links
Every playground has a unique, shareable URL that enables team collaboration:Team Access
Share with colleagues who need to test or use your workflow without ComfyUI knowledge
Client Demos
Present to stakeholders with a clean, professional interface that hides technical complexity
Creative Review
Enable creative teams to experiment with parameters and generate variations
Quality Assurance
Facilitate testing by non-technical team members for validation and feedback
Sharing Best Practices
1
Test Before Sharing
Verify your playground works correctly with various input combinations
2
Document Expected Inputs
Provide guidance on what inputs work best for your specific workflow
3
Set Appropriate Defaults
Configure sensible default values so users can generate results immediately
Security Note: Playground links provide access to your deployed workflow. Only share with trusted team members and consider implementing access controls for sensitive workflows.
Playground Benefits
For Technical Teams
Rapid Prototyping
Rapid Prototyping
- Test parameter combinations quickly without ComfyUI complexity
- Iterate on workflow improvements with immediate feedback
- Validate configuration changes before API integration
Quality Assurance
Quality Assurance
- Systematic testing of edge cases and input variations
- Documentation of expected behaviors and outputs
- Regression testing when updating workflow versions
For Non-Technical Users
Creative Exploration
Creative Exploration
- Experiment with AI-generated content without technical barriers
- Discover optimal parameter settings through intuitive controls
- Generate variations and iterations for creative projects
Content Production
Content Production
- Streamlined workflow for regular content generation
- Consistent results through pre-configured parameters
- Immediate access to generated assets with download options
Integration with Development Workflow
From Playground to Production
1
Prototype in Playground
Use the playground to validate workflow behavior and optimal parameters
2
Document Findings
Record successful parameter combinations and expected outputs
3
Generate API Code
Use the playground results to inform your API integration approach
4
Implement in Application
Translate playground interactions into programmatic API calls using SDKs
API Equivalent
Every playground interaction has a corresponding API call. Use the playground to:- Validate request formats before writing API integration code
- Test error conditions and understand response structures
- Optimize parameters for your specific use case
- Generate example requests for API documentation