Community First
Check Discord for answers.
The Discord community is the best place to look for common fixes, workflow help, setup notes, and advice from other Cynara users.
Support
Real help from a one-person project.
Cynara AI Studio is built and supported by one person, not a staffed support department. I will do my best to reply to issues, improve the editor, and keep the project moving forward.
Need help?
Email me directly or check the Discord community first. Other users may already have answers for setup, workflows, models, downloads, and system-specific issues.
cynaraaistudio@gmail.com
Trial Period
Use the 7-day free trial to test your setup.
AI tools can depend on hardware, drivers, models, and workflow requirements. The free trial is there so you can make sure the AI bridge works on your system before subscribing.
Practical guidance, not a pass/fail test: This list is not exhaustive or a hardware certification. A system below a listed tier may still work for lighter or already-proven workflows, and hardware not named here may work well too. Results vary with the model, resolution, duration, custom nodes, drivers, available VRAM and RAM, and other software running on your computer. Higher-tier hardware does not guarantee every workflow will work. Use the 7-day free trial with your own media and workflows to confirm that Cynara fits your setup.
AI and ComfyUI compatibility
NVIDIA GPUs and a current NVIDIA Studio driver are recommended for Cynara's bundled AI and ComfyUI experience. If you already have ComfyUI workflows, models, and custom nodes that work well on your PC, you can bring and add them to Cynara instead of starting over. Results still depend on compatible dependencies, Python, CUDA, and PyTorch versions, your hardware, and each workflow's requirements, so external workflows are not guaranteed to work in every setup.
Plan Your Setup
System Requirements
Choose the hardware tier closest to the AI workloads you plan to run.
8 GB VRAM Tier
Entry AI setup
- GPU examples
- NVIDIA GeForce RTX 4060 Ti 8 GB or RTX 3070
- Processor
- Modern Intel Core i5 or AMD Ryzen 5 minimum; an 8-core Intel Core i7 or AMD Ryzen 7 is recommended
- System memory
- 32 GB RAM
- Free storage
- 100–200 GB on an NVMe SSD
- Suggested PSU
- 650 W
12 GB VRAM Tier
Expanded AI capacity
- GPU examples
- NVIDIA GeForce RTX 3060 12 GB, RTX 4070, or RTX 3080 12 GB
- Processor
- Modern 8-core Intel Core i7 or AMD Ryzen 7
- System memory
- 64 GB RAM
- Free storage
- 150–250 GB on an NVMe SSD
- Suggested PSU
- 750 W
16 GB VRAM Tier
Advanced AI workflows
- GPU examples
- NVIDIA GeForce RTX 4080, RTX 4080 Super, or RTX 3090
- Processor
- 8-core Intel Core i7 or AMD Ryzen 7 minimum; a 12-core Intel Core i9 or AMD Ryzen 9 is recommended
- System memory
- 64–96 GB RAM
- Free storage
- 200–300 GB on an NVMe SSD
- Suggested PSU
- 850 W
24 GB VRAM Tier
High-capacity AI setup
- GPU examples
- NVIDIA GeForce RTX 3090 or RTX 4090
- Processor
- 12-core Intel Core i9 or AMD Ryzen 9 minimum; a high-end 16-core Intel Core i9 or AMD Ryzen 9 is recommended
- System memory
- 64–128 GB RAM
- Free storage
- 300–500 GB on an NVMe SSD
- Suggested PSU
- 850–1000 W
Shared baseline
- Windows 10 or Windows 11, 64-bit
- Current NVIDIA Studio driver
- NVMe SSD recommended for the application, models, caches, and generated media
- Adequate case airflow and sustained-load cooling