ComfyUI Flux WAN Automation

Investor Summary

Generative image workflows are often fragile, manual, and difficult to scale. This project provides a programmatic automation layer over ComfyUI, delivering reproducible workflows, batch generation, and LoRA management that turns a UI-driven system into a scalable production pipeline.

The $50B+ generative AI market demands enterprise-grade tooling that bridges the gap between creative experimentation and production deployment. Most generative AI tools require manual interaction for each output, making them unsuitable for campaigns requiring hundreds or thousands of consistent assets. By abstracting ComfyUI's node-graph complexity behind a configuration-driven API, we enable creative teams to scale from single images to massive batch runs while maintaining brand consistency, quality standards, and full reproducibility across every generated asset.

Our platform supports the full spectrum of modern generative models including Stable Diffusion XL, Flux Dev, Flux Schnell, and WAN video generation models. Each workflow is serialized as a JSON artifact, enabling version control, A/B testing of prompt strategies, and deterministic reproduction of any previously generated output.

Product Capabilities

✓ ComfyUI API manager for status checks and prompt queueing
✓ Flux workflow builder with configurable model, sampler, and LoRA settings
✓ Config-driven model management for Flux, VAE, and CLIP assets
✓ Batch generators for branded content and campaign output
✓ WAN video generation pipeline with frame interpolation
✓ Operational scripts for service control and LoRA downloads
✓ Saved workflow JSON artifacts for full reproducibility

Deep Dive: Stable Diffusion & Flux Models

Our pipeline supports the latest generation of open-source diffusion models, each optimized for different production requirements.

Flux model comparison showing output quality across different checkpoint configurations

Model Architecture Support

The platform provides unified workflow generation across multiple model architectures. Flux Dev delivers the highest quality output for hero imagery and detailed compositions, leveraging its transformer-based architecture for superior text rendering and spatial coherence. Flux Schnell offers 4-step generation for rapid iteration cycles, enabling creative teams to explore prompt variations at ten times the speed of standard inference without sacrificing compositional accuracy.

Stable Diffusion XL remains available for workflows requiring broad ecosystem compatibility, including the extensive library of community-trained LoRA adapters and ControlNet models. Our abstraction layer handles the differences in tokenizer configuration, VAE selection, and sampling schedules transparently, so operators switch between model families by changing a single configuration parameter.

Each model's output is tagged with complete generation metadata including the checkpoint hash, sampler settings, seed value, prompt text, and LoRA weights applied. This metadata chain ensures that any generated asset can be exactly reproduced months or years later, a critical requirement for brand compliance and regulatory documentation in regulated industries.

Platform Architecture

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Programmatic Workflows

ComfyUI API control with reproducible workflow generation. Queue prompts, monitor status, and manage execution programmatically without manual node-graph interaction.

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Batch Production

Config-driven batch output with saved workflow artifacts. Generate thousands of assets with consistent quality, automatic naming, and organized output directories.

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Model Management

Built-in support for LoRA adapters, multiple model variants, VAE encoders, and CLIP text encoders. Hot-swap models without workflow rewrites.

Implementation Details

From batch image campaigns to AI-generated video, every workflow is driven by configuration files rather than manual UI interaction.

Batch Automation Engine

The batch engine reads a YAML configuration file containing prompt templates, model selections, sampler parameters, and output specifications. It iterates through prompt variations, substituting variables for each generation pass. A campaign requiring 500 product images across 10 style variations and 5 aspect ratios is defined in a single configuration file and executed without supervision. Progress tracking, error recovery, and output organization are handled automatically.

Video Generation Pipeline

The WAN video pipeline extends our image automation into motion content. Starting from a text prompt or reference image, the system generates frame sequences using video-optimized diffusion models, applies temporal smoothing for motion coherence, and assembles the output into standard video formats. Frame interpolation models increase the effective frame rate, producing smooth motion from sparse keyframes. This enables marketing teams to produce short-form video content for social media and advertising without traditional video production workflows or stock footage licensing.

Batch generation output gallery showing branded content produced across multiple style variations

Technology Stack

Python 3.10+ ComfyUI API Flux Dev/Schnell Stable Diffusion XL WAN Video LoRA Adapters aiohttp Pillow PyYAML CUDA/RTX

Differentiation and Moat

API Abstraction

Programmatic workflow generation with full ComfyUI API control eliminates manual UI interaction and enables CI/CD integration.

Reproducibility

Saved workflow JSON artifacts with complete metadata ensure every generation can be exactly replicated at any future date.

Model Flexibility

Unified interface across Flux, SDXL, and video models with LoRA hot-swapping and per-workflow configuration.

Results & Impact

Measurable improvements in creative production throughput, cost efficiency, and brand consistency.

Creative production analytics showing throughput improvements and cost reduction metrics

Production Speed

Batch automation eliminates the manual prompt-and-wait cycle that dominates traditional ComfyUI usage. A campaign that would take a designer days of iterative generation runs to completion overnight, with assets organized and metadata tagged automatically upon completion.

Cost Reduction

Running generation on local GPU hardware with RTX 3090 and RTX 4060 Ti cards eliminates per-image API fees. At scale, this reduces creative asset production costs by orders of magnitude compared to cloud-based generation services or traditional stock photography licensing.

Brand Consistency

LoRA adapters trained on brand-specific imagery ensure every generated asset maintains visual coherence with existing brand guidelines. Prompt templates with locked style parameters prevent drift across large batch runs, delivering consistent quality regardless of volume.

Commercial Use Cases

Serving creative teams, agencies, and content operations that need scalable, consistent AI-generated visual content.

Marketing Teams

Scalable asset generation for campaigns, social media, and creative operations. Produce hundreds of on-brand variants from a single prompt template.

Creative Agencies

Batch creative production at consistent quality standards for client deliverables. Rapid concept exploration and style variation without manual generation loops.

E-Commerce Platforms

Product visualization, lifestyle imagery, and catalog asset generation at scale. Reduce dependency on expensive product photography for large inventories.

AI-generated video frames showing WAN model output with temporal coherence

Evidence of Execution

Core Automation

src/core/ with ComfyUI and Flux handlers

Configuration

configs/config.yaml for models and servers

Production Scripts

scripts/ and workflow artifacts

Package Management

pyproject.toml dependency management

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