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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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The Training: Master Stable Diffusion: Create and Customize Images with Generative AI 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.
To ensure the quality of the Training: Master Stable Diffusion: Create and Customize Images with Generative AI training, Learni provides the following 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.
The assessment of skills acquired during the Training: Master Stable Diffusion: Create and Customize Images with Generative AI training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Presentation of generative AI and diffusion networks, history and key principles. Introduction to Stable Diffusion: architecture, opportunities and limitations. Installation on different environments (local, cloud, Google Colab). Overview of interfaces: AUTOMATIC1111 WebUI and the open-source ecosystem. Security, legal aspects, ethics, and usage rights management.
Methodology for constructing effective prompts (text, styles, seeds). Management of parameters for quality and reproducibility of outputs. Hands-on practice: thematic generations, refinements, and variations. Handling and integration of community models, embeddings, LoRA, and DreamBooth. Introduction to ControlNet for guiding composition and pose.
Workshop on creating real projects: illustrations, storyboards, moodboards, marketing visuals. Optimizations: batch processing, automated scripts, retouching by upscaling and artifact correction. Integration into the graphic workflow (Photoshop, GIMP, Canva). Common issues and solutions: coherence, anatomy, styles. Tips for staying updated and progressing in the Stable Diffusion/generative AI community.
Target audience
Visual creation professionals, designers, artists, digital enthusiasts, and individuals wishing to optimize their creative workflows using generative AI
Prerequisites
Basic computer knowledge, familiarity with digital image manipulation recommended
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