Flux + ComfyUI Complete Workflow Tutorial - 14 Commercial Cases - One-Person Startup



📚Video Course
🕒Last updated: 09/10/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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Flux + ComfyUI Complete Workflow Tutorial

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📅 Release Date:
\ September 10, 2026
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📚 Course Type:
\ AI Painting Practical
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👥 Target Audience:
\ AI painting enthusiasts, e-commerce designers, side business entrepreneurs
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This course is a commercial-grade hands-on tutorial focused on the full Flux model series + ComfyUI node workflows. It abandons fragmented single-point teaching and uses 14 sets of real, reusable implementation cases as the core, gradually guiding students to build a standardized AI image production system. Many AI creators only know how to apply ready-made workflows, do not understand node logic, cannot build their own, and cannot fix errors when they occur, resulting in low image quality that cannot meet commercial needs. This course specifically addresses these core pain points.

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The course starts from zero basics, breaking down Flux core text-to-image and image-to-image underlying workflows step by step, and explaining ComfyUI node connection logic and parameter control principles in detail, so students can completely escape the dilemma of only applying but not building. On this basis, it fully covers high-frequency essential skills in commercial design: SUPIR ultra-clear lossless upscaling, intelligent outpainting, precise local repainting, AI image cleaning to optimize quality, and BiRefNet Ultra V2 high-precision intelligent cutout, comprehensively solving common problems such as blurry images, incomplete composition, messy details, and cluttered subjects.

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In the creative visual advanced section, the course unlocks a variety of popular commercial techniques: automatic coloring of professional line art, one-click conversion of real-person photos to 3D cartoons, and batch generation of blind box IP character three-view images, suitable for scenarios such as illustration creation, IP design, and self-media visual output. At the same time, it deeply explains the advanced workflows of all Flux Kontext Max, Pro, and Dev versions, enabling advanced operations such as fine local repainting, Pixar 3D animation style conversion, high-definition restoration of old photos, and rapid generation of character three-view images from a single view.

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Through systematic learning, students will fully master the complete workflow from basic image generation, image quality optimization and retouching, creative style transformation, to commercial character design. All workflows can be directly saved and reused for batch image generation, perfectly suited for personal creation, e-commerce visuals, commercial commissions, IP building, and various other use cases. After mastering all 14 reusable workflows, you can achieve efficient batch image output, easily build your own commercial AI image production system, and achieve a leap in capability from passively using tools to actively designing solutions.

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[Basic Generation Workflows]
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  • 1.Flux Text-to-Image Workflow Setup
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  • 2.Flux Image-to-Image Workflow Setup
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[Image Retouching Workflows]
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  • 3.SUPIR High-Definition Upscaling Workflow Setup
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  • 4.Flux Intelligent Outpainting Workflow Setup
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  • 5.Flux Local Inpainting Workflow Setup
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  • 6.Flux AI Image Cleaning Workflow Setup
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  • 7.BiRefNet Ultra V2 High-Precision Cutout Workflow Setup
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[Creative Style Transformation]
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  • 8.Flux Line Art Coloring Workflow Setup
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  • 9.Flux Photo-to-3D Cartoon Style Workflow Setup
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[Commercial Character Design]
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  • 10.Flux Blind Box Character Three-View Generation Super Workflow Setup
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[Advanced Applications]
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  • 11.Flux Kontext Max and Pro Workflow Setup and Local Inpainting
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  • 12.Flux Kontext Dev Workflow and 3D Pixar Animation Style Conversion
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  • 13.Flux Kontext Dev High-Quality Old Photo Restoration Workflow
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  • 14.Flux Kontext Dev Front View to Three-View Quick Generation Workflow
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.

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