Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Learning objectives
- Master advanced ComfyUI nodes for professional certifying workflows
- Develop automated and scalable AI pipelines for enterprise use
- Implement custom nodes to personalize complex generations
- Optimize GPU and VRAM performance for intensive productions
- Design ComfyUI interfaces integrated with APIs and external tools
- Deploy ComfyUI workflows in server mode for collaborative teams
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1ComfyUI Architecture: Modeling Expert Workflows (core nodes, loaders, samplers)
Dive into ComfyUI's advanced nodal architecture, configure model loaders like SDXL and Flux for high-fidelity generations, explore KSampler and Euler A samplers with precise noise scheduling, build your first expert workflow on an enterprise image upscaling case, test real-time iterations with preview nodes, produce an optimized deliverable ready for production, and receive personalized trainer feedback.
Module 2ComfyUI Custom Nodes: Extending Functionality (ComfyUI-Manager, IPAdapter, Reactor)
Install and manage custom nodes via ComfyUI-Manager to boost AI capabilities, integrate IPAdapter and Reactor for ultra-precise face and style transfers, build hybrid workflows combining ControlNet with OpenPose poses, apply to real enterprise datasets like product catalogs, debug complex graphs with node inspector, generate professional image galleries, and export reusable JSON for teams.
Module 3Complex ComfyUI Workflows: ControlNet, LoRAs, and Advanced Masking
Design multi-layer workflows with ControlNet for depth maps and Canny edges, inject fine-tuned LoRAs for specific corporate styles, master masking with Segment Anything and inpainting for pixel-perfect retouches, process massive batches of 100+ images in one pass, simulate real cases like marketing visual generation, optimize negative prompts for zero artifacts, and deliver an ongoing project with automated quality metrics.
Module 4ComfyUI Optimization: GPU Tuning, VRAM Efficiency (Torch, xformers, quantization)
Push hardware limits with GPU tuning via Torch and xformers to accelerate inference x3, implement 8-bit and half-precision quantization to save 50% VRAM on cloud servers, benchmark workflows on A100/H100 vs consumer GPUs, integrate Ultimate SD Upscale for 8K resolutions without crashes, analyze bottlenecks with built-in profiling tools, and produce quantified performance reports and batch scripts for enterprise CI/CD pipelines.
Module 5ComfyUI Deployment: API Server, Enterprise Integrations (Docker, FastAPI)
Transform workflows into scalable APIs with ComfyUI server and FastAPI endpoints, containerize via Docker for Kubernetes deployments, integrate with existing pipelines like Adobe Suite or headless CMS, secure with JWT auth and rate limiting, test under load at 100 req/s, generate Prometheus monitoring dashboards, deploy your complete solution in a simulated production environment, and receive skill certification with a deliverable portfolio.
Evaluation method
- Expert MCQ on ComfyUI nodes and optimizations
- Evaluation through complex workflow projects
- Ongoing project presentation with performance metrics
Learning method
- Live sessions led by production-experienced AI expert trainer
- Hands-on exercises based on real enterprise cases
- Evolving ongoing project spanning 5 days
- Shared ComfyUI custom nodes and JSON resources
Methods, materials and delivery
The Training ComfyUI - Automating Generative AI Workflows program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training ComfyUI - Automating Generative AI Workflows program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training ComfyUI - Automating Generative AI Workflows program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training ComfyUI - Automating Generative AI Workflows training cost?+
The individual price is $7,350 (USD). A detailed quote is sent within one business day.
How long is the Training ComfyUI - Automating Generative AI Workflows training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Stable Diffusion, intermediate Python, basic nodal workflows
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
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