ComfyUI · Online Resources · Online tutorial · OVERVIEW
ComfyUI: curated online resources
A curated selection of online resources for ComfyUI: official repositories, workflow libraries, and video channels. Each entry is annotated — scope, technical level, and the most relevant use case are indicated — rather than offered as a bare list of links. The page is divided into two sections: web documentation and video tutorials.
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01
Web documentation (annotated)
The official ComfyUI documentation is deliberately minimal. A more practical reference is the community repository at github.com/comfyanonymous/ComfyUI, where the README and Issues section together cover most setup and installation questions. For workflow examples, comfyanonymous.github.io/ComfyUI_examples collects tested pipelines for the most common use cases — text-to-image, image-to-image, inpainting, ControlNet, upscaling. External resources worth bookmarking: ComfyUI Manager, a sub-environment for discovering and installing new and/or custom nodes (not easy to use if you're not an expert: it helps to get an LLM's assistance, asking via chat how to solve a specific problem in order to fix or enrich a graph). The Civitai library for downloading models through checkpoints and, in certain cases, LoRA customisations trained on specific datasets. We also recommend the subreddit r/comfyui for troubleshooting (that is, advice on solving problems that other users have already encountered). A pre-LLM style resource, but still consistently useful for broadening one's knowledge of the environment.
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02
Video tutorials
The vast majority of YouTube tutorials presenting ComfyUI applications aim primarily to grow their own audience, favouring spectacle over explanation. Genuinely educational channels — oriented towards presenting pipelines with functions typical of the worlds of advertising, art direction and VFX — remain rare. The reason for this asymmetry is straightforward. The generative AI market today is not dedicated to creating storyboards or visual effects, but to light entertainment in one's free time or to completing school assignments (at home and in class).
The YouTube landscape broadly reflects this imbalance. There is practically no middle ground between the purely decorative channel — enjoyable to watch but offering no real learning value — and the specialist channel, such as those listed below. Since AI is a phenomenon of dizzying expansion, doing new things with it requires commitment, experimentation, repeated attempts and staying up to date. On this site I have tried to reach a level that is sufficiently accessible while still maintaining an explanatory approach to how things are actually built within visual stories (see the posts ComfyUI Visual Stories — Part 1 and ComfyUI Visual Stories — Part 2). I would finally like to present a selection of top channels, to give a sense of the standard set by those who genuinely know how to work well in this field.