ComfyUI Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used ComfyUI
Thies Schneider
Last position:
Spatial UX Lead at govar
- Concept, interaction and UX for XR experiences for the automotive industry
- Optimizing XR experiences
- Building experiences with AI
Daniel Leonforte
Last position:
Creative Producer/Owner at Eigenart Filmproduktion
- Responsible for concept, camera, editing, animation, and grading for corporate and B2B productions
- Managing projects from budgeting to shoot and post-production through to delivery
- Since 2023, consistently using an AI-based production pipeline: Runway, Kling, Veo, Sora, and Seedance for stills and moving image
- ComfyUI for character consistency, ElevenLabs for voice, HeyGen for avatars
- Building reproducible workflows for scalable social formats
- Building local LLM infrastructure on my own GPU hardware: Ollama, multi-agent systems, RAG, speech-to-text, and text-to-speech
- Process automation for lead generation, email and API workflows, reporting, and document creation
Alexander Döhrmann
Last position:
Systems Engineer at infoteam AG
- Further development and maintenance of data management software in the nuclear sector
- Processing and resolution of problem reports
- Bug fixing and defect remediation
- Performance optimization of legacy code
- Analysis and remediation of security vulnerabilities
- Specification and conceptual design of new features
- Modernization of legacy codebase to C++17
- Technologies & tools: C++, ClearCase, SQL, HTML, CSS, JavaScript, Git, Linux, Solaris, Shell-Script, VisualStudio
- Frontend – Smart Sensor Dashboard: development of a browser-based dashboard for real-time visualization of smart sensor data
- Technologies & tools: TypeScript, Angular, HTML, CSS, JavaScript, MQTT, VisualStudio
- Implementation of embedded safety software for a magnetic levitation elevator system
- Requirements engineering
- Documentation and implementation of safety software for the magnetic levitation elevator control system and the central management system
- Creation and execution of unit tests for all implemented modules
- Technologies & tools: C/C++, Jira, Bitbucket, Confluence, VectorCAST, MISRA-C, Lint, Doxygen, Git
Christoph Reiche
Last position:
IT Consultant at Augusta Solutions
- Successfully certified as Professional Scrum Master (PSM I)
- Further training in AI trends, prompt engineering, and tools (ComfyUI, SD3.5, Flux, Loras)
- Market analysis for the strategic realignment of the service portfolio
Minh Doan
Last position:
Project Manager / Business Analyst / Application Manager at Finance and Insurance
Introducing 5 different process applications for various teams
Release planning: scope and time management
Resource/capacity planning
Conducting sprint planning / retrospectives
Increment planning (multiple sprints)
Preparing steering committee meetings / reporting to the executive board
Coordinating / aligning with external suppliers / deliveries
Multi-project resource planning
Aligning with the business unit and development team
Identifying best practices with IBM BAW
Cost control and planning for the project team and external service providers
Collecting KPIs using LogScale
Analyzing application errors with LogScale / queries
Defining user stories / aligning requirements with the business unit and development team
Testing and defect tracking
UI/UX design of the application
Preparing and facilitating brown-paper workshop
Test concept, test data, test organization, test execution
Recording team velocity / metrics
Executing tests
Scripts for automated testing
Organizing tests with the business unit and IT
Recording and prioritizing defects
Setting up and operating the application
Setting up application monitoring with LogScale dashboards
Checking health endpoints with PowerShell
Post mortem analysis
Setting up incident management
Setting up problem management
Analyzing errors using LogScale queries and dashboard
Pre-processing data for AI
Conducting evaluation with AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG
Installing runtime environments for LLMs (large language model)
Evaluating various LLMs
Installing RAG (retrieval augmented generation) and integrating with LLM
Extracting unstructured data with LLM and RAG
Project based on IBM BAW (Business Automation Workflow), WebSphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, PowerShell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber
Christian Taeschner
Last position:
Quality Expert, Consultant & Enthusiast at Quality Consulting Taeschner
- Consulting and development of customized test strategies, quality concepts, and quality governance frameworks
- Advising on the use of artificial intelligence with a focus on AI-driven test strategies (test design, tools, automation)
- Testing AI systems and AI-powered solutions (e.g., guardrails, nondeterministic behavior, ethical and adversarial scenarios)
- Consulting and development of AI governance and compliance guidelines
- Analysis, design, and optimization of test processes
- Planning and conducting quality audits
- Preparation and facilitation of quality workshops
- Test management for digital ecosystems
- Quality management: business and process analysis
- Change, transition, and project management
- Identification and provision of suitable specialist resources
- Training seminars and courses for quality and test managers, product owners, and project managers on effective QA strategies and methods
- Professional mentoring and consulting for leaders in quality-focused management roles
- Teaching test fundamentals, design, and methods to IT professionals or career changers
Muntaha Shams
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Shruti Khule
Last position:
Scientific Assistant at Deutsche Sporthochschule Köln
- Developed a React-based research platform with interactive 3D/AR product visualization workflows.
- Implemented interaction tracking and usage analytics to measure user behavior and feature engagement within a research platform.
- Deployed the research platform and integrated a R Shiny analytical dashboard, enabling researchers to interactively explore meta-analysis results within a unified platform.
Peter Neumann
Last position:
Pilot testing AI tools & sabbatical for house renovation
- Pilot testing local AI environments to explore local AI use cases and cloud-based AI solutions
- Evaluation of AI tools and techniques
- Use of local AI tools with own data sovereignty
- Prompt engineering
- Creation of example environments for speech-to-text, text-to-speech, text-to-image, text-to-video, and image-to-video
Tools: Grok, Perplexity, ChatGPT, Elevenlabs, Github, Ollama, HuggingFace, Open WebUI, Faster Whisper, LibreTranslate, WSL, Docker Desktop, Shotcut, Audacity, Sound eXchange, Ffmpeg, Coqui TTS, Pinokio, Stable Diffusion Web UI, ComfyUI, OWL, Void Editor
Fenja Vespermann
Last position:
Growth Strategist at mimikry.ai
- Scaled from 0 → €35K MRR in 7 months (bootstrapped)
- Closed enterprise clients like Meta, Muuto, Adidas, Lego, Beiersdorf, Otto Group, and S.Oliver Group
- Worked hands-on with founders to validate product-market fit, define positioning, and deploy scalable AI operations
Alexander Shevchenko
Last position:
Freelance C++, Unreal Engine, TypeScript Developer at SaGuNi Tech L.L.C-FZ
- Developing a mobile Web3 game, CI/CD integration, software architecture, cloud infrastructure, backend integration, user authentication, AWS GameLift integration
- Tools: Unreal Engine (Android, iOS), C++, TypeScript, NodeJS, Perforce, Git, TeamCity, PowerShell, Google Cloud, Firebase, Cloud Functions, Google Billing Library, AWS Lambdas, DynamoDB, AWS Cognito, AWS GameLift, OAuth2
Discover over 15,000 top freelancers
Statistics of experts using ComfyUI
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Automotive, Media and Entertainment
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
89%
Master's degree or higher
67%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using ComfyUI
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What ComfyUI does
ComfyUI is a node-based interface for building image and media generation workflows. It is used to chain models, prompts, samplers, and post-processing steps into repeatable pipelines. Teams choose it when they need control, transparency, and easy workflow changes.
Typical use cases
- Stable Diffusion and SDXL workflow design
- LoRA, ControlNet, and reference image pipelines
- Image upscaling, inpainting, and batch generation
- Custom workflow templates for creative teams
Ecosystem and tools
Strong specialists know the core node graph, common custom nodes, checkpoint handling, and workflow export. They also work with model variants, prompt structure, VAE choices, and extensions that connect ComfyUI to broader diffusion stacks. Good work keeps workflows readable and reusable.
When companies bring in experts
Teams often need outside help when a workflow becomes hard to maintain, custom nodes break after updates, or output quality is inconsistent. This is common in studios, product teams, and research groups that need stable image generation for campaigns, assets, or internal tooling. In Germany, remote collaboration is common, but on-site work can help when teams want fast alignment with design or content leads.
What strong professionals deliver
A strong ComfyUI specialist can trace a graph quickly, isolate failures, and improve both speed and output quality. They document dependencies, clean up node chains, and build workflows that other experts can understand and extend. They focus on reliable results, not just impressive demos.
Skills to look for
- Clear understanding of diffusion workflow logic
- Experience with model selection and prompt structure
- Ability to debug custom nodes and broken dependencies
- Good documentation and handover habits
- Practical knowledge of production image pipelines
Frequently asked questions
Before you brief your next project: the most common questions about ComfyUI.
ComfyUI is used to build node-based image generation workflows for Stable Diffusion, SDXL, inpainting, upscaling, and similar tasks. Companies use it when they need repeatable pipelines instead of one-off prompt work. It is also a good fit for teams that want to test variations quickly without losing control of the workflow.
ComfyUI is more visual and modular, with workflows built as connected nodes. Automatic1111 feels simpler at first, but it gives less structure for complex pipelines and custom logic. If a project needs reusable, testable workflows, ComfyUI is often the stronger choice.
A strong ComfyUI expert usually understands diffusion models, prompt design, ControlNet, LoRA, model checkpoints, and image post-processing. Basic Python knowledge is also useful, especially when custom nodes or troubleshooting are part of the job. For teams in Germany, clear written communication in English is often enough, but bilingual coordination can help on larger projects.
A ComfyUI project can start with a specialist who knows core workflows, but production work needs someone who can debug nodes, manage dependencies, and keep outputs consistent. Simple prototype work is lighter, while client-facing pipelines need more discipline. The key is not just making images, but making the workflow maintainable.
Yes, most ComfyUI work can be done remotely because the main tasks are workflow design, testing, and iteration. Remote collaboration works well when the team shares examples, output goals, and model requirements clearly. On-site sessions can still help when stakeholders need fast visual review or live workflow planning.
Look for a ComfyUI portfolio that shows actual workflows, not only finished images. Ask how the expert handles custom nodes, model updates, version changes, and handover documentation. Good candidates explain their choices clearly and can show how they keep workflows stable over time.
ComfyUI is best known for Stable Diffusion and SDXL workflows, but it is broader than a single model. Many specialists use it for layered pipelines that include conditioning, masking, upscaling, and repeatable asset generation. That flexibility is why teams choose it for both creative and technical work.
A production-ready ComfyUI workflow is readable, modular, and tested with real inputs. It should handle missing nodes, model swaps, and version changes without breaking the whole chain. Strong experts also document settings and dependencies so another specialist can take over smoothly.
The average hourly rate of freelancers in Germany who have used ComfyUI in their recent projects is 89 €, which corresponds to a daily rate of about 709 € based on an 8-hour working day.
Of the freelancers in Germany who have used ComfyUI in their recent projects, 89% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Germany who have used ComfyUI in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Germany who have used ComfyUI in their recent projects are German (100%), English (100%), and Spanish (18%).
The most common industries among freelancers in Germany who have used ComfyUI in their recent projects are Information Technology (100%), Automotive (64%), and Media and Entertainment (55%).
The most common business areas among freelancers in Germany who have used ComfyUI in their recent projects are Information Technology (100%), Product Development (91%), and Research and Development (64%).
Main locations of FRATCH Experts, who have recently used ComfyUI
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
