This workflow enhances ThinkDiffusion’s character consistency pipeline by integrating IPAdapter Face ID with SDXL realism. It fixes facial fidelity across poses, eliminates common artifacts and distortions that were seen running on the RTX 3060, and speeds up processing. It now runs Think Diffusions workflow on the RTX 3060 12gb without any downgrading inputs at full resolution. Ideal for full-body optimization and completions from cropped inputs using OpenPose guidance.
This modifcation works perfectly with the advanced character workflows like ThinkDiffusion FLUX on a budget GPU, the article “Consistent Character Creation with FLUX using Think Diffusion on a patched RTX 3060” is a must-read. It walks through how producers can stabilize ComfyUI and FLUX on an RTX 3060 with just 12GB of VRAM, using techniques with a built Flash Attention, xFormers patching, and pose sheet conditioning. This guide is especially valuable for artists and LoRA trainers who need multi-angle consistency without crashing or distorted faces. If you're publishing a modified workflow that builds on this setup—like one with IPAdapter Face ID and SDXL nodes—it’s smart to reference this article as the foundation for low-VRAM optimization and character fidelity.
🚫 Licensing Guide
Write a Credit link to a credit page.
No use without crediting Think Diffusion and Myself. If using my modified workflow credit to Think Diffusion is already linked with me.
This content is protected under CC BY-NC-ND 4.0. Contact me for licensing inquiries.