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theme-worlds

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Seamless 360° panoramas from stock Stable Diffusion v1.5: a from-scratch MultiDiffusion sampler with circular windows and multi-branch prompt composition. Mean seam ratio 1.12 over 28 panoramas; no training, zero sour...

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Overview

Theme Worlds is a re-implementation of MultiDiffusion for Stable Diffusion v1.5 that generates seamless 360° panoramas. The panoramas have left and right edges that are identical, creating a continuous loop. The method uses stock SD v1.5 weights without any training or source images, as the loop is a property of the sampler rather than a post-processing step. The project includes an interactive viewer where users can drag to look around and scroll or pinch to zoom. It reports a mean seam ratio of 1.12 over 28 panoramas, where 1.0 means the join is like any other pair of columns. It also notes that circular windows produce a 7.6× smaller seam than without, based on 12 paired runs. The approach composes themes rather than concatenating them, as CLIP silently drops 20 tokens from a naive two-theme prompt. The project was built by Marlen Melis for KAIST AIC.20000 Introduction to AI Computing (Fall 2026). The images are the notebook's own PNG outputs, re-encoded as JPEG, and the page wraps them around a cylinder.

Pricing

Free

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Features

Generate seamless 360 degree panoramas

Uses stock Stable Diffusion v1.5

MultiDiffusion sampler built from scratch

Circular windows reduce panorama seams

Compose prompts across multiple branches

Generate without additional model training

Create panoramas without source images

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