Local Ai

Z-image Turbo Upscaling and fixing artifacts

Z-Image Turbo upscaling involves using latent upscaling followed by a second sampling step to refine images after the initial upscale. Common artifacts in Z-Image Turbo generation can result from usin

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local-air-stablediffusion

Z-Image Turbo upscaling involves using latent upscaling followed by a second sampling step to refine images after the initial upscale. Common artifacts in Z-Image Turbo generation can result from using high CFG values (7+), as the model was trained for low CFG settings. Z-Image-Turbo is optimized to run on standard 16GB VRAM GPUs while producing lifelike images with sharp details.

Source: r/StableDiffusion | 2026-05-05

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