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 Stable Diffusion 2026 - Generate Professional AI Images training are: Knowledge of Python, basics in machine learning, and regular use of Stable Diffusion. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Stable Diffusion 2026 - Generate Professional AI Images training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Stable Diffusion 2026 - Generate… | 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 Stable Diffusion 2026 - Generate Professional AI Images 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 Stable Diffusion 2026 - Generate Professional AI Images 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 Stable Diffusion 2026 - Generate Professional AI Images 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

Master the advancements of Stable Diffusion 2026 for professional image generation

Develop advanced prompts and fine-tunings tailored to business needs

Implement ControlNet and LoRA for precise control of AI outputs

Design automated workflows integrating Stable Diffusion into production

Optimize Stable Diffusion performance for ultra-realistic renders

Deploy certified applications based on Stable Diffusion in the enterprise

Acquire generative AI skills to boost professional creativity

Training program

Module 1Stable Diffusion 2026 Fundamentals: Installation and Advanced Prompts (Automatic1111, ComfyUI, fine-tuning)

Dive into the optimized installation of Stable Diffusion 2026 with the latest updates, set up your professional environment using Automatic1111 and ComfyUI, master prompt engineering for precise and creative results, complete practical exercises on real marketing cases, generate your first high-quality visuals with immediate trainer feedback, produce an initial portfolio of 20 optimized images ready for business use.

Module 2Advanced Stable Diffusion 2026 Techniques: ControlNet, LoRA, and Extensions (pose control, style, upscaling)

Explore ControlNet for absolute control over poses and compositions, integrate custom LoRAs trained on your business datasets, test extensions for 8K upscaling and multi-image consistency, apply these tools to concrete projects such as creating advertising visuals, chain collaborative exercises with code review, generate coherent image series for digital campaigns, document your workflows for immediate team reuse.

Module 3Professional Stable Diffusion 2026 Applications: Automation and Deployment (API, Docker, enterprise integration)

Build automated pipelines with Stable Diffusion using Python scripts and API, deploy in Docker containers for enterprise scalability, integrate with tools like Photoshop or Figma for hybrid workflows, develop a complete ongoing project based on a real client brief, optimize for production with a 70% reduction in generation times, present your deployed application with performance metrics, receive a certified action plan for enterprise implementation.