GenAI with ComfyUI

Sean Bradley uses ComfyUI nodes to explain how models, prompts and generation steps connect. Stable Diffusion examples lead into other image and video workflows, with local and cloud execution considerations. It suits learners who want to inspect the path through a visual workflow and understand which node or model choice is responsible when a result or resource requirement changes.

What you will learn

• Connect model, prompt and sampling nodes in ComfyUI.
• Explore LoRAs and image or video workflows.
• Review local hardware and cloud execution examples.

Who this suits

No coding is required. Mixed levels is an editorial estimate. Hardware guidance varies across the page; review the specific workflow’s GPU, VRAM, RAM and storage needs before choosing local or cloud execution.

Before you enroll

Check the demonstrated interface and model version before following older lessons, because controls and access plans change. A course purchase does not include a separate image-tool subscription, generation credits or cloud GPU time. Use reference images you have permission to upload, inspect generated details carefully and review the relevant model license before publishing. Keep a record of prompts, settings and edits so another person can understand your process.

Udemy offers paid purchase or subscription access depending on the current course and region. Paid teaching courses provide completion certificates under Udemy’s policy. Check current access terms and any separate software or material costs before enrolling.

Put it into practice

Build a minimal image workflow and label the responsibility of each node. Change one model or sampling setting, compare the output and record the effect on generation time and available memory.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

Where a formal level is unavailable, the level filter is an editorial estimate based on the published audience and requirements. Duration filters reflect the listed video time; exercises and independent practice can take longer.

View the curriculum and current access options at Udemy.

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Supporting provider sources

• support.udemy.com: supporting course information