Custom Workflow

DFCine is designed as a system architecture that can integrate virtually any AI workflow. Whether the workflow runs locally in ComfyUI or calls an external closed-source model or third-party API service, it can be connected to the DFCine canvas through the workflow interface and used as a node in the production pipeline.

With custom workflows, teams can package their own model capabilities, internal tools, or private generation pipelines as canvas nodes. Users can then handle asset input, parameter configuration, task execution, and result return inside the same DFCine project.

Availability

Custom workflows are an advanced feature and are currently available only to advanced users, including:

• Lifetime Special Edition users
• Team Developer Edition users
• Teams with custom development cooperation with DIGITFOLD

This feature requires the DFCine workflow configuration specification, API interfaces, node input/output rules, and project file structure. Most users do not need to configure custom workflows themselves; they can use official workflow packages or individual workflows published on the official website.

Supported Integration Types

Custom workflows can be used to integrate different AI capabilities, such as:

• Local ComfyUI workflows
• Privately deployed models
• External closed-source model services
• Third-party API generation services
• Internal team automation pipelines

The specific integration method depends on the model type, invocation method, input/output data format, and team requirements.

Requesting Access

If you need custom workflow capabilities, please contact the relevant DIGITFOLD representative. The DIGITFOLD team will provide the appropriate interface documentation, configuration support, or custom development service based on your edition, workflow type, and business requirements.