What is the price of the Training ComfyUI - Master Advanced AI Workflows training?

The price of the Training ComfyUI - Master Advanced AI Workflows training is 5250 € HT. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

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.

What is the duration of the Training ComfyUI - Master Advanced AI Workflows training?

The Training ComfyUI - Master Advanced AI Workflows training takes place over 5 journées. The program is structured in progressive modules for optimal skill development.

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 - Master Advanced AI Workflows training are: Stable Diffusion basics, basic ComfyUI usage, Python and machine learning fundamentals.. A preliminary interview validates your eligibility.

What are the objectives of the Training ComfyUI - Master Advanced AI Workflows training?

The objectives of the Training ComfyUI - Master Advanced AI Workflows training are: Build complex workflows with advanced nodes. Integrate custom models and ComfyUI extensions. Optimize performance for ultra-fast renders. Automate large-scale batch image production. Develop real deployable production projects. Master advanced debugging and troubleshooting. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

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

Training ComfyUI - Master Advanced AI 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 Training ComfyUI - Master Advanced 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 - Master Advanced 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 - Master Advanced 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 access terms and deadlines

Training program

Module 1Advanced ComfyUI Fundamentals: Nodes and Connections (Basic Tools, Simple Workflows)

Dive into ComfyUI's essential nodes, connect them to create your first high-performance AI workflows, experiment with Stable Diffusion model loaders, practice exercises on upscaling and conditioning, produce your first optimized images, receive live feedback to accelerate your mastery.

Module 2Complex Workflows: Conditioning and Samplers (AI Methods, Image Deliverables)

Design multi-step pipelines in ComfyUI, test advanced samplers like Euler A and DPM++, integrate LoRAs for custom styles, tackle concrete cases on portrait and landscape generation, export HD renders, turn ideas into pro visuals through captivating interactive exercises.

Module 3Custom Nodes and Models: ComfyUI Extensions (Dev Tools, Integrations)

Install and code custom nodes in ComfyUI, import fine-tuned models like SDXL, explore ControlNet for precise poses, apply to real projects like video upscaling, generate thematic image batches, boost creativity with pro methods that elevate your AI productions.

Module 4Optimization and Batch: ComfyUI Performance (Scripts, Automations)

Accelerate ComfyUI renders via GPU tweaks and batch processing, script workflows for 100+ images/hour, test optimized VAEs and tile-based generation, resolve bottlenecks on concrete cases, produce pro galleries in the blink of an eye, adopt techniques that multiply your productivity x10.

Module 5Final Projects and Deployment: ComfyUI in Production (API, Complete Deliverables)

Develop a personalized capstone project in ComfyUI, integrate APIs for web apps, debug workflows live, deploy on cloud like RunPod, present pro portfolio, conclude with certification, leave with skills ready for real missions and immediate impact in generative AI.