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Tools
photo_quilt_generate_photomosaicGenerate an arbitrary-resolution photomosaic via bootstrapped tiled denoising. Faithful to the reference implementation (github.com/KooroshRH/PhotoQuilt/flux2), the generation runs the four phases on the distilled FLUX.2 [klein] transformer: 1. Bootstrap: generate a low-res image from the prompt (kept as raw latents). 2. Latent upscale: bicubically upscale the bootstrap latents to the target resolution. 3. Noise inject: re-noise the upscaled latent canvas at step ``steps - noise_steps``. 4. Tiled denoise: run the remaining steps in ONE pipeline call with the transformer in window-attention mode — the latent sequence is split into fixed overlapping windows, each window attends only over its own tokens + its own text stream, and overlapping windows are merged by scatter-mean at the attention level. This latent/attention-level tiling is what produces the visible quilted mosaic.
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