Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Mastering ComfyUI: Creating Visual AI Workflows for Image Generation training are: Basic computer knowledge, familiarity with artificial intelligence recommended.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Mastering ComfyUI: Creating Visual AI Workflows for Image Generation training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Mastering ComfyUI: Creating Visual AI W... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Mastering ComfyUI: Creating Visual AI Workflows for Image Generation training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Mastering ComfyUI: Creating Visual AI Workflows for Image Generation training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Mastering ComfyUI: Creating Visual AI Workflows for Image Generation training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Understand the fundamental concepts of image generation using artificial intelligence.

Install, configure, and get hands-on with ComfyUI in local or cloud environments.

Master basic and advanced ComfyUI nodes to structure your own workflows.

Optimize image generation: prompts, models, settings.

Export, save, and automate your image creation processes with ComfyUI.

Training program

Module 1Introduction to Image Generation and ComfyUI Installation

Presentation of AI image generation and the open-source ecosystem. Operating principle of ComfyUI, presentation of the node-based graphical interface, installation guide on various platforms (Windows, Mac, Linux, cloud), model management (Stable Diffusion, custom checkpoints), troubleshooting installation issues. First steps: interface discovery, model import, quick tests.

Module 2Fundamentals of Workflows in ComfyUI

Structuring a workflow: adding and configuring input nodes (textual prompts, source images), exploring main node types (Noise, Conditioning, Sampler, Output/Image), hands-on with prompting and metadata. Manipulating various models and extensions. Saving, reusing, sharing workflows. Practical exercises: guided creation of first personalized workflows.

Module 3Advanced Techniques, Optimization, and Automation

Advanced nodes: batch management, logical nodes, conditionals, flow control. Optimizing renders: settings, post-processing, integration of external extensions (ControlNet, Upscale, etc.), integration of simple Python scripts to automate tasks. Advanced export, gallery creation, best practices for saving and sharing. Sector-specific case studies (e.g., advertising graphics, game asset creation). Practical projects and in-depth feedback.

Evaluation method

Online MCQ at the end of the training on ComfyUI concepts and features.
Practical workshops with presentation and individualized evaluation of created workflows.
Delivery of a personalized AI workflow project at the end of the training.

Learning method

Alternation of theoretical inputs and interactive video demonstrations.
Step-by-step practical exercises, screen sharing, and collective troubleshooting.
Detailed course materials (PDF + supplementary resources) accessible for 6 months.