This is a high-quality text-to-image application powered by FLUX.1 Dev + FluxGuidance + PiDKSamplerCapture + PiD flux 2Kto4K Latent Space Enhancement + PiD Subprocess Sampling + 4K Image Output. After you enter a prompt, the system first generates a base image at 1024×1024 using FLUX.1 Dev, and then directly outputs a high-definition image of about 4096×4096 through PiD's flux / 2kto4k / scale 4 pipeline.
The core advantage of this workflow is: It is not regular pixel super-resolution, but PiD latent space enhancement directly outputting 4K. Ordinary super-resolution usually forces upscaling after the image is already generated, which easily causes false sharpening, plastic details, dirty edge lines, and local blurring; this workflow captures the latent needed by PiD during the FLUX.1 Dev sampling stage and then performs 4K enhancement with PiD, making it more suitable for commercial posters, character concept art, fantasy illustrations, game art, e-commerce key visuals, brand promotional images, and high-resolution cover assets.
Compared to the Z-Image Turbo speed version, the selling point of this version is not being the fastest, but the texture, composition, prompt expression, and commercial image stability of FLUX.1 Dev. The currently recommended parameters are also clear: 28 steps of FLUX sampling, FluxGuidance 3.5, capture_step 26, PiD steps 4, scale 4, 1024 base → 4K output. It is recommended to focus on controlling four items when using: The positive prompt determines the image content, FluxGuidance determines prompt adherence, the base size determines the final 4K quality, and PiD 2Kto4K determines the high-definition enhancement effect.
Before publishing, it is recommended to note two points: First, the current negative prompt is empty, and FLUX dev has limited negative effect when CFG=1, so do not promote it as a "negative prompt strong control application"; second, this version is already a single Flux 2Kto4K branch, suitable for direct publishing, but you can hide the native base image output and keep only the PiD enhanced image as the final result.
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