Updated: Apr 20, 2026
base model
This workflow is designed for creators who demand high-fidelity results without the heavy hardware tax. By leveraging the Ernie-Image-Turbo model in GGUF format, this setup provides a streamlined, fast, and VRAM-efficient path to professional-grade AI imagery.
Key Features
GGUF Optimization: Optimized for lower VRAM usage via the UnetLoaderGGUF node, allowing high-end generation on mid-range hardware.
Turbo Performance: Uses the res_2s sampler with only 8 steps, delivering hyper-realistic results in a fraction of the time.
High-Resolution Ready: Defaulted to a 720x1024 portrait ratio, perfect for cinematic character shots and detailed textures.
Advanced CLIP Integration: Utilizes the ministral-3-3b CLIP model for superior prompt adherence and nuanced understanding of complex instructions.
Components & Nodes
Model: ernie-image-turbo-Q8_0.gguf
VAE: flux2-vae.safetensors
CLIP: ministral-3-3b.safetensors
Sampler: KSampler configured for speed (res_2s / simple scheduler).
How to Use
Ensure you have the ComfyUI-GGUF custom nodes installed.
Place your GGUF model in the models/unet folder and CLIP/VAE in their respective directories.
Input your prompt into the PrimitiveStringMultiline node and hit generate to see the "Turbo" efficiency in action.