Master ComfyUI with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make ComfyUI powerful for content generation workflows.
A canvas interface where each step of a generative pipeline â model loading, prompt encoding, sampling, decoding, post-processing â is a discrete node with typed inputs and outputs that can be wired together into reusable graphs.
Unified support for images, video, 3D, and audio generation within the same interface, allowing artists to combine modalities (for example, image-to-video or text-to-3D) inside a single workflow.
Native support for Stable Diffusion family models, SDXL, SD3, Flux, and various video and 3D diffusion models, plus auxiliary components such as ControlNet, IP-Adapter, LoRA, and custom VAEs.
Generated images embed the full workflow graph in their metadata, so dragging a PNG into ComfyUI restores every node, parameter, and model reference â making sharing and reproducing results trivial.
The ComfyUI Registry and broader community provide thousands of custom nodes that add capabilities such as animation, upscaling, face and pose control, and integrations with external services.
Runs entirely on local hardware for privacy and cost control, while also exposing a REST and WebSocket API so workflows can be triggered programmatically as part of larger production pipelines.
Yes. ComfyUI is open-source software released under a permissive license and can be downloaded, installed, and used locally at no cost. There are no subscription fees, no per-generation charges, and no watermarks on outputs. Users only pay for their own hardware or any third-party cloud GPUs they choose to run it on.
ComfyUI supports image generation, video generation, 3D asset creation, and audio synthesis through a single node-based interface. The exact capabilities depend on which open-weight models and custom nodes you install, but the platform is designed to handle diffusion-based workflows across all of these modalities.
Midjourney is a hosted, prompt-first service with minimal parameter control, while Automatic1111 offers a form-based UI for Stable Diffusion. ComfyUI differs by exposing every step of the pipeline as a visual node graph, which gives users significantly more control, reproducibility, and the ability to orchestrate multi-model and multi-modality workflows.
ComfyUI runs on NVIDIA, AMD, Apple Silicon, and Intel GPUs, as well as CPU in limited configurations. For modern image models like SDXL or Flux, 8â12 GB of VRAM is a practical minimum, and video or high-resolution workflows benefit from 16â24 GB or more.
Yes. ComfyUI embeds the full workflow graph into the metadata of generated PNG files, so dragging a shared image back onto the canvas reconstructs the exact pipeline, including model choices, prompts, and parameters. Workflows can also be exported as JSON files.
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Tutorial updated March 2026