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 ComfyUI Advanced - Master Complex AI Workflows training are: Mastery of Stable Diffusion, basic Python knowledge, experience with nodal workflows.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training ComfyUI Advanced - Master Complex AI Workflows training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training ComfyUI Advanced - Master Complex AI Wo... | 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 ComfyUI Advanced - Master Complex AI Workflows 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 ComfyUI Advanced - Master Complex AI Workflows 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 ComfyUI Advanced - Master Complex AI Workflows 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

Design ultra-efficient ComfyUI workflows with multiple models

Optimize performance using custom nodes and advanced GPUs

Automate pipelines via scripts and integrated APIs

Integrate ComfyUI with Photoshop, Unity, and cloud servers

Deploy scalable AI applications in production

Analyze and debug complex errors in real time

Create reusable libraries of custom nodes

Training program

Module 1Advanced Fundamentals: Custom Nodes and Modularity (ComfyUI, JSON Workflows)

Dive into creating custom nodes, assemble modular workflows to generate hybrid images, test on real datasets with Stable Diffusion XL, produce your first optimized deliverables, gain fluency through timed practical exercises that transform your ideas into powerful pipelines from day one.

Module 2Performance Optimization: GPU, Caching, Batching (Torch, ComfyUI Manager)

Master advanced GPU acceleration, implement intelligent caching and massive batching, profile your workflows to reduce rendering times by 5x, apply to real cases like 8K upscaling, export ready-to-use configs, experience the thrill of ultra-fast renders that boost your creative productivity.

Module 3Automation: Python Scripts, ComfyUI API (Queue, Webhooks)

Develop Python scripts for full automations, integrate Queue API and webhooks for external triggers, simulate production flows with 100+ images/hour, debug live on real errors, deliver automated batch prototypes, discover the pleasure of an AI that works for you 24/7 without manual intervention.

Module 4Advanced Integrations: Pro Tools and Cloud (Photoshop, AWS, RunPod)

Connect ComfyUI to Photoshop via plugins, deploy on AWS and RunPod for infinite scalability, merge with Unity for 3D assets, test cross-platform workflows on real client projects, generate directly integrable image packs, experience the magic of an interconnected AI ecosystem that revolutionizes your creation pipeline.

Module 5Professional Projects and Deployment: Scaling, Monitoring (Docker, Sentry)

Build a complete scalable final project, containerize with Docker for easy deployment, implement Sentry monitoring for 99.9% reliability, present your live AI app to the group, receive expert feedback and certification, leave with a professional portfolio ready to impress employers and clients.