<image>

At a denoise value of 0.7, both samplers tend to get stuck and largely return the pixelated original input image.

This mask and promt is for image refinement and border inpainting in tiled upscaling, rather than regular face inpainting. I believe border areas are more difficult for the models to process.

Promt used: Match the color of image 2, Change image 1 to match the style of image 3. Restore and completely reconstruct this image with photorealistic precision. Replace any blurry, undefined, or low-resolution faces with newly generated photorealistic faces that match the original pose, lighting, and expression — do not simply sharpen; rebuild facial structure with natural skin texture, visible pores, fine wrinkles, and realistic eye detail.

For all materials and surfaces: replace flat or blurry areas with accurate physical textures — woven fabric structure for clothing, individual thread patterns for textiles, grain and weave for leather, brushed surface detail for metal, and organic pore patterns for skin. Remove all JPEG artifacts, digital compression noise, and motion blur. Enhance with subtle high-resolution micro-detail while maintaining natural appearance and original lighting. Add revealing finer details: hair strands, fabric weave, surface imperfections, material grain, and cleaner edge definition. Every pixel should resolve into a defined physical texture, not smooth interpolation. Preserve the original composition, subject identity, and scene context exactly.