The Flux-TTP-Upscale workflow offers an advanced Face Restore pipeline within the ComfyUI environment. It integrates Flux's face restoration technology with TTP (Tile-to-Patch) enhancement to fix distorted or low-quality faces in AI-generated images. This is especially effective for group portraits, profile shots, or any visuals with facial artifacts.
By combining FluxGuidance, tile-aware image enhancement, and LoRA-based identity control, Flux-TTP-Upscale Face Restore delivers reliable Face Restore performance while upscaling to crisp 4K resolution.
IMPORTANT NOTE: This Face Restore workflow handles both image enhancement and face repair simultaneously. Proper input and model selection ensure optimal results.
Quick Start Guide:
Load Image
node to input a low-resolution portrait, group photo, or any AI-generated image needing facial repair.Queue Prompt
to initiate the restoration and upscale process.Save Image
node.FluxGuidance
: Drives facial restoration accuracy during generation.BasicGuider
: Adds global image consistency around the restored face.SamplerCustomAdvanced
: Uses euler
sampler with fine-tuned denoise strength (denoise = 0.3
).Resize Image
: Sets up correct image dimensions for effective tile repair.Upscale Model
: Uses 4xNMKD-Superscale
to refine face patches.Scale to Total Pixels
: Ensures final resolution is high enough for detailed Face Restore.TTP_Image_Tile_Batch
: Breaks down the image into tiles for localized Face Restore.TTP_Image_Assy
: Rebuilds a seamless image after tile-level repair, using 128px padding.Joy Caption Two
: Automatically describes restored images to help validate Face Restore results.Based on the original technique by Xing Jiu, this workflow demonstrates how tile-based processing and identity-aware modeling can significantly improve Face Restore results on difficult image inputs.
This ComfyUI-based Face Restore workflow is adapted from the Flux TTP Tile Upscale method shared by Xing Jiu, and built using community tools like comfyui-ttp-toolset
, ky-nodes
, and easy-use
. The combination of tile patching, FluxGuidance, and LoRA integration enables professional-grade Face Restore results even on challenging inputs.
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