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 ComfyUI : Maîtriser l’Interface et les Workflows Visuels IA (2024) training are: Connaissances de base en informatique, navigation sur Windows ou Mac, notions élémentaires sur l’IA ou l’image numérique recommandées.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the ComfyUI : Maîtriser l’Interface et les Workflows Visuels IA (2024) training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

ComfyUI : Maîtriser l’Interface et les Workflows... | 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 ComfyUI : Maîtriser l’Interface et les Workflows Visuels IA (2024) 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 ComfyUI : Maîtriser l’Interface et les Workflows Visuels IA (2024) 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 ComfyUI : Maîtriser l’Interface et les Workflows Visuels IA (2024) 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

Installer et configurer ComfyUI sur son ordinateur

Comprendre les principes de base de l’interface nodale

Créer et gérer des workflows visuels pour la génération d’images IA

Charger et manipuler des modèles (Stable Diffusion, LoRA, etc.)

Maîtriser les bases de l’automatisation et de la personnalisation des flux

Exporter et exploiter des images générées dans ComfyUI

Training program

Module 1Découverte, installation et exploration de ComfyUI

Présentation générale de ComfyUI et son écosystème. Installation multiplateforme (Windows/Mac/Linux), gestion de l’environnement Python. Tour d’horizon de l’interface UI/UX. Explication du principe nodal et comparaison rapide avec les alternatives. Premiers essais de génération d’image simple pour découvrir le flux de travail.

Module 2Décomposition des workflows IA et personnalisation

Analyse détaillée des noeuds principaux (prompts, modèles, sampler, réglages d’output). Création de flux complexes : enchaînement de modules, variation des inputs, gestion des images sources. Ajout de modèles personnalisés (checkpoints, LoRA, embeddings). Adaptation des workflows aux besoins graphiques ou techniques de chaque participant. Trucs et astuces pour gagner du temps et automatiser. Manipulation avancée de l’interface.

Module 3Automatisation, extensions et exploitation professionnelle

Utilisation des scripts, scheduling d’images, batch processing et automatisation de tâches. Installation et gestion d’extensions tierces pour élargir les usages (post-traitement, intégration IA texte, upscaling, SDXL). Bonnes pratiques en gestion de ressources matérielles (GPU, VRAM). Export, intégration dans un projet graphique/professionnel. Étude de cas pratiques, correction de réalisations, astuces pour aller plus loin dans l’autonomie.