Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to ComfyUI and Visual AI Content Creation
- Overview of ComfyUI and the current visual AI landscape
- Comparing node-based workflows with traditional creative tools
- Supported media types: image, video, 3D, and audio
Installation, Setup, and Initial Generation
- ComfyUI Desktop for Windows and macOS
- Manual installation options and an overview of GPU support
- Executing a first image generation workflow
The Node Graph Interface and Core Concepts
- Canvas navigation, zooming, and selecting nodes
- Understanding nodes, links, properties, and dependencies
- The queue system, execution order, and partial re-execution
Core Nodes: Loaders, Samplers, Conditioning, and Outputs
- Checkpoint loaders, CLIP loaders, and VAE loaders
- Samplers, schedulers, and generation parameters
- Conditioning using positive and negative prompts
Working with Models: Checkpoints, LoRAs, VAEs, and Embeddings
- Model types and file formats: safetensors, ckpt
- Using LoRAs for style and character control
- Embeddings and textual inversion
Controlled Generation: ControlNet, IP-Adapter, and Inpainting
- ControlNet for pose, depth, and edge-guided outputs
- IP-Adapter for image-based style references
- Inpainting and outpainting methodologies
Image Refinement: Upscaling, Compositing, and Area Composition
- Upscale models: ESRGAN, SwinIR, and their variants
- High-resolution fix workflows
- Area composition for multi-region images
Video Generation Workflows
- Supported video models: Wan, Hunyuan Video, Mochi, LTX-Video
- Frame-by-frame generation and interpolation
- Image-to-video and text-to-video pipelines
Custom Nodes and the Community Ecosystem
- ComfyUI Manager and the Registry
- Identifying, installing, and assessing custom nodes
- Community workflows available via Comfy Workflows
Workflow Management, Optimization, and Sharing
- Saving and loading workflows as JSON files
- Embedding workflow data within generated PNG and WebP files
- Memory management, batching, and VRAM optimization
App Mode, API, and Production Pipelines
- Creating simplified interfaces using App Mode
- Exposing workflows as API endpoints
- Comfy Cloud and Comfy Enterprise deployment options
Troubleshooting, Performance, and Best Practices
- Common errors and debugging approaches
- Smart memory offloading and low-VRAM operation
- Model organization and search path configuration
Requirements
- General computer literacy and familiarity with file systems
- No previous AI or programming background is necessary
Target Audience
- Digital artists and visual content creators
- Designers and creative professionals
- AI practitioners looking to explore visual generation tools
- Technical artists and production pipeline specialists
Testimonials (1)
real life examples