A ComfyUI Pipeline for Local AI Comic Production: 8GB VRAM, Character Lock, and Batch Video Assembly
A single local pipeline now handles script-to-video AI comic production on an 8GB consumer GPU, which removes cloud dependency and the need to manually assemble hundreds of storyboard frames.
The pipeline starts with source-code deployment in a conda environment to avoid version conflicts that plague pre-packaged ComfyUI builds. It then chains a node workflow that parses script prompts, loads a reference character image, extracts features with IPAdapter, and constrains pose and composition with ControlNet's OpenPose and LineArt. For 8GB cards, the workflow uses gradient checkpointing, VAE tiling, model offloading, fp16 precision, and reduced sampling steps to prevent OOM crashes.
Batch production runs through a Python script that reads prompts from a text file and posts them to ComfyUI's local API, generating storyboard images automatically. FFmpeg commands convert image sequences into video and merge voice audio, with optional frame interpolation for smooth motion. The guide also compares SD WebUI and LocModel, positioning ComfyUI as the most flexible option for automation, and includes troubleshooting for common issues like character drift and API stalls.
Character consistency across frames is the dominant constraint in AI comic production, not raw generation speed; IPAdapter and ControlNet act as external locks to prevent feature drift.
The guide's insistence on local deployment suggests cloud compute costs are a blocker for many individual creators in this niche.
The comparison of ComfyUI, SD WebUI, and LocModel illustrates a broader tradeoff: automation and flexibility in node-based tools vs. accessibility of packed solutions.