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Course Outline

Introduction to ComfyUI and Visual AI Content Creation

  • An overview of what ComfyUI is and the current visual AI landscape
  • A comparison between node-based workflows and traditional creative tools
  • Supported media types: image, video, 3D, and audio

Installation, Setup, and First Generation

  • Using ComfyUI Desktop on Windows and macOS
  • Overview of manual installation options and GPU support
  • Executing a first image generation workflow

The Node Graph Interface and Core Concepts

  • Navigating the canvas, including zooming and node selection
  • Understanding nodes, links, properties, and dependencies
  • Managing the queue system, execution order, and partial re-execution

Core Nodes: Loaders, Samplers, Conditioning, and Outputs

  • Utilizing Checkpoint loaders, CLIP loaders, and VAE loaders
  • Configuring samplers, schedulers, and generation parameters
  • Implementing conditioning with positive and negative prompts

Working with Models: Checkpoints, LoRAs, VAEs, and Embeddings

  • Understanding model types and file formats, including safetensors and ckpt
  • Using LoRAs for precise style and character control
  • Leveraging embeddings and textual inversion techniques

Controlled Generation: ControlNet, IP-Adapter, and Inpainting

  • Utilizing ControlNet for pose, depth, and edge-guided output
  • Employing IP-Adapter for image-based style referencing
  • Mastering inpainting and outpainting techniques

Image Refinement: Upscaling, Compositing, and Area Composition

  • Applying upscale models such as ESRGAN, SwinIR, and their variants
  • Implementing high-resolution fix workflows
  • Performing area composition for multi-region image synthesis

Video Generation Workflows

  • Supported video models including Wan, Hunyuan Video, Mochi, and LTX-Video
  • Executing frame-by-frame generation and interpolation
  • Constructing image-to-video and text-to-video pipelines

Custom Nodes and the Community Ecosystem

  • Navigating the ComfyUI Manager and the Registry
  • Finding, installing, and evaluating custom nodes
  • Accessing community workflows via Comfy Workflows

Workflow Management, Optimization, and Sharing

  • Saving and loading workflows as JSON files
  • Embedding workflow data directly into generated PNG and WebP files
  • Managing memory, batching processes, and optimizing VRAM usage

App Mode, API, and Production Pipelines

  • Creating simplified interfaces using App Mode
  • Exposing workflows as accessible API endpoints
  • Deploying via Comfy Cloud and Comfy Enterprise

Troubleshooting, Performance, and Best Practices

  • Identifying common errors and applying debugging strategies
  • Implementing smart memory offloading for low-VRAM operations
  • Organizing models and configuring search path settings

Requirements

  • Basic computer literacy and familiarity with file systems
  • No prior AI or programming experience required

Audience

  • Digital artists and visual content creators
  • Designers and creative professionals
  • AI practitioners exploring visual generation tools
  • Technical artists and production pipeline specialists
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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