Import your ComfyUI workflows into FlowScale AI for team collaboration and production deployment. This guide covers importing existing workflows and creating new ones in the cloud environment.
New to FlowScale AI? You’ll need to create a project first. Think of projects as collaborative workspaces where your team’s workflows live and evolve together.

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Import Existing Workflows

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Step-by-Step Import Process

1

Click Import Workflow

In your FlowScale AI project dashboard, click the “Import Workflow” button
Clean FlowScale project dashboard interface showing the main workspace with a prominently highlighted Import Workflow button in the top-right area. Shows project name, navigation sidebar, and empty workflow list state with clear call-to-action styling
2

Upload Workflow JSON

Select and upload your ComfyUI workflow JSON file (exported from ComfyUI using the “Save” option)
Modal dialog overlay showing the workflow import interface with drag-and-drop file upload area, supported file format information (.json), and clear upload instructions. Includes progress indicator and file validation messaging
3

Review Custom Nodes

FlowScale AI automatically detects required custom nodes and displays them for review
Interface showing automated detection of custom nodes with a list view displaying node names, sources (GitHub URLs), and status indicators (detected/verified/missing). Includes resolution options and dependency management tools
4

Resolve Conflicts

If conflicting nodes are detected, select the correct versions that your workflow actually uses
Detailed conflict resolution interface showing side-by-side comparison of conflicting node versions with recommendation badges, compatibility notes, and user selection options. Includes version numbers and source information
5

Complete Setup

Click Confirm to add all necessary configuration for your workflow, and your imported project is ready to use!
Step-by-step visual flow showing the entire import process from file upload through conflict resolution to successful integration, with progress indicators and completion confirmation

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Supported Import Format

FlowScale AI imports Workflow JSON files from ComfyUI’s “Save” function.
File Format Matters: Only use JSON files exported directly from ComfyUI’s Save function. Other export formats or manually edited files may cause import issues or lost functionality.

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Accessing ComfyUI Workspace

Pods are cloud-hosted ComfyUI instances that provide on-demand access to GPU resources.

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Launch Process

1

Start ComfyUI

Click “Start ComfyUI” button in your project
Project interface showing the prominent Start ComfyUI button with pod status indicators and workspace access controls. Shows resource availability and startup options
2

Select Pod

Choose the pod configuration for your ComfyUI instance from the modal
Modal dialog displaying available GPU pod options with detailed specifications (T4, A10G, L4, L40S, A100 40GB, A100 80GB, H100, H200, B200), pricing information, resource availability status, and performance recommendations for different workflow types
3

Monitor Installation

While ComfyUI starts, custom nodes are installed automatically. View progress in System Logs
Console/terminal interface showing real-time startup logs with custom node installation progress, dependency resolution status, and system initialization messages. Includes timestamps and log level indicators
4

Workspace Ready

Once started, you’ll see the ComfyUI workspace in CPU mode
Full ComfyUI interface in CPU mode showing the node-based visual programming environment with sample workflow loaded, CPU mode indicator in top bar, and workspace tools/panels visible

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CPU vs GPU Mode

For workflow editing:
  • Connecting nodes and adjusting parameters
  • Low cost for workflow development
  • Use for planning and structure building
Cost Optimization: Always use CPU mode for editing workflows and only switch to GPU mode when you need to execute them. This prevents unnecessary credit burn.
Close-up of the ComfyUI actions bar highlighting the CPU/GPU mode toggle switch with clear visual states, resource usage indicators, and cost implications display

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Model Management

FlowScale AI provides centralized model management with public and private model libraries for team sharing.

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Model Setup Process

1

Start ComfyUI Workspace

Launch your ComfyUI instance in your project
2

Test Workflow

Run your workflow once to identify missing models (you’ll see error messages)
Error modal showing missing model notification with specific model names, suggested resolution actions, and links to model management tools. Clear error messaging with actionable next steps
3

Check Workflow Node Dropdowns for Public Models

Look for required models in the dropdown menus of the workflow nodes themselves. If models are available in the public library, they will appear in the relevant node dropdowns within your workflow
Models may appear under similar filenames—check carefully for variations or similar names.
ComfyUI workflow node with expanded dropdown menu showing available models, model categories, and selection interface. Highlights newly added models and compatibility indicators
4

Access Private Models

If models aren’t found publicly, navigate to Private Models section
Dedicated models management page showing folder structure, uploaded models list, storage usage, and organization tools. Clean file browser-style interface with model metadata
5

Create Model Folders

Create appropriate folder structure as required by ComfyUI or custom nodes
Modal dialog for creating new model folders with folder type selection (checkpoints, loras, vae, embeddings), naming conventions, and organizational structure options
6

Upload Models

Click “Upload Model” and either search for models or provide download links
Tabbed interface showing multiple upload methods such as file upload, URL download, and model search. Includes progress tracking, validation, and metadata extraction features
7

Refresh ComfyUI

After model download completes, refresh ComfyUI from the actions bar
Actions bar with highlighted refresh button for reloading models and nodes, showing refresh state indicators and workspace synchronization status
8

Verify Model Availability

Check the workflow node dropdowns again to confirm the newly added models are now available for selection

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Model Sources

Public Library

Pre-loaded models from Hugging Face, Civitai, and popular community sources

Private Upload

Custom models, fine-tuned checkpoints, and specialized LoRAs

URL Download

Direct download from external sources using model URLs

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Folder Structure Guidelines

When creating folders for models, follow ComfyUI conventions:
  • Checkpoints: models/checkpoints/
  • LoRAs: models/loras/
  • VAE: models/vae/
  • Custom nodes: Check the node’s GitHub repository for specific folder requirements
For custom node models, always refer to the node’s GitHub repository README for correct folder naming conventions.

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Creating New Workflows

Create workflows directly in FlowScale AI for immediate team collaboration and deployment readiness.

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Quick Start Method

1

Create New Workflow

Click “Create New Workflow” button in your project
Project dashboard with highlighted Create New Workflow button as alternative to importing, showing workflow templates and creation options
2

Start with Basic Template

A basic text-to-image workflow loads automatically in the ComfyUI workspace
A basic text-to-image workflow loads automatically in the ComfyUI workspace
3

Customize Workflow

Modify the workflow by adding, removing, or connecting nodes as needed
Modify the workflow by adding, removing, or connecting nodes as needed
4

Save Workflow

Click “Save” in the actions bar and provide a descriptive commit message
Click Save in the actions bar and provide a descriptive commit message

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Next Steps

Deploy to Production

Transform workflows into production APIs and interactive interfaces