System Requirements

Before installation, confirm that the computer has enough GPU memory, storage space, and permission to run local AI tools.

This software mainly uses local models for cost-effective AI film and video production. If you plan to use a local generation workflow, it is recommended to meet the following hardware requirements. If you use API mode, the local model hardware requirements in this section are not necessary.

Item	Recommended Configuration
Operating system	Windows 10/11 64-bit
GPU	NVIDIA GPU with 12 GB VRAM or higher is recommended for production use
Memory	32 GB minimum, 64 GB or higher recommended
Storage	SSD, with about 1 TB reserved for models, cache, and outputs
Network	An internet connection is required for software licensing. Offline local mode requires custom support

How to Check Local Configuration

How to Check Memory

Use Task Manager to check memory:

1. Press Ctrl + Shift + Esc to open Task Manager.
2. Click "Performance" → "Memory".
3. You can see the total memory size, such as 16 GB.
4. You can also view current usage, frequency, and slot count.

How to Check VRAM

1. Press Win + R, type dxdiag, and press Enter.
2. In the window that opens, click the "Display" tab.
3. The GPU model can be found under the device name.
4. The VRAM size can be found under "Display Memory".

If you are not sure whether your computer can run DFCine, you can send your system configuration to customer support for assistance.

API Workflow Requirements

If you use API workflow mode, there is no high local hardware requirement. In most cases, a basic Windows computer that can run DFCine and its canvas interface normally is sufficient.