What problem does it solve?
Configuring Baidu ERNIE-Image in ComfyUI requires knowing the exact model files, node types, sampler settings, and wiring conventions, and the shipped pack graphs are large, group-toggled, and confusing to read. This Skill provides verified model lists, node dependencies, sampler settings, and ready-to-use API-format workflows so you can generate images with ERNIE-Image without reverse-engineering the source graphs.
Core Features & Use Cases
- Text-to-Image Workflows: Complete API-format ComfyUI graphs for ERNIE-Image-Turbo with correct GGUF loaders, Ministral-3-3B text encoder, Flux 2 VAE, and AuraFlow shift settings.
- Image Refinement Pipelines: Denoise-based image-to-image refine and ERNIE × Z-Image Turbo two-pass combo pipelines with post-processing (film grain, sharpening, upscale).
- Model & Node Installation Guidance: Exact download URLs, quant selection by VRAM, and the custom node packs required (ComfyUI-GGUF, rgthree-comfy, KJNodes, and others).
- Use Case: You want a poster with precise multilingual text rendering. Use this Skill to build an ERNIE-Image-Turbo workflow at 1920×1088 with 9 steps, cfg 1, and a prompt quoting the exact text to render.
Quick Start
Use the ernie-image skill to build a ComfyUI text-to-image workflow that renders a vintage travel poster with the title text "KYOTO" at the top.