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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.
10 spots per session maximum — 9 already taken
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Don't let this gap widen
Without mastering the ComfyUI interface and visual AI workflows, creative teams waste an average of 15 hours weekly on clunky node setups and trial-and-error debugging.
This inefficiency drives project overruns costing businesses $8,500 per delayed campaign, according to industry benchmarks.
Over 70% of generative AI initiatives fail to achieve ROI due to suboptimal visual workflow skills, stalling innovation and exposing professionals to career obsolescence.
Every month without proficiency, companies forfeit a 25% edge in AI-driven content production.
The Training: Mastering the ComfyUI Interface and Visual AI Workflows (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.
To ensure the quality of the Training: Mastering the ComfyUI Interface and Visual AI Workflows (2024) 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: Mastering the ComfyUI Interface and Visual AI Workflows (2024) 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.
General presentation of ComfyUI and its ecosystem. Multi-platform installation (Windows/Mac/Linux), Python environment management. Overview of the UI/UX interface. Explanation of the nodal principle and quick comparison with alternatives. First simple image generation trials to discover the workflow.
Detailed analysis of main nodes (prompts, models, sampler, output settings). Creation of complex workflows: chaining modules, varying inputs, managing source images. Adding custom models (checkpoints, LoRA, embeddings). Adapting workflows to each participant's graphic or technical needs. Tips and tricks to save time and automate. Advanced interface manipulation.
Use of scripts, image scheduling, batch processing, and task automation. Installation and management of third-party extensions to expand uses (post-processing, text AI integration, upscaling, SDXL). Best practices in hardware resource management (GPU, VRAM). Export, integration into a graphic/professional project. Practical case studies, correction of creations, tips for greater autonomy.
Target audience
Beginners, graphic designers, creatives, developers, trainers, and professionals curious to get started with generative AI via a modern visual interface.
Prerequisites
Basic computer knowledge, navigation on Windows or Mac, and basic notions of AI or digital imaging recommended.
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