360 Panorama Maker for Qwen-Image 2.1 Edit 🌐

Got a nice photo of a place and wish you could look around? This LoRA turns one to three regular photos into a full 360° equirectangular panorama you can drop into a 360 viewer, a VR headset, or use as a skybox / environment map.

Your photo ends up right in the middle of the panorama, and the LoRA dreams up everything else around it: what's behind you, the sky above, the ground at your feet, all matching the place and the light of your photo.

How to use it

1. Load Qwen-Image 2.1 with this LoRA at strength 1.0.

2. Feed your photo(s) into TextEncodeQwenImage21 as image_1, image_2, image_3. Set resolution to 1088.

3. Use this prompt, swapping in your own scene:

Transform this set of images into an equirectangular 360 panorama. Scene: A calm alpine lake below a snow-capped peak, evergreen forest, bright midday sun under a clear blue sky.

1. ⚠️ Important: sample from an Empty Latent Image at 1536×768 (or any 2:1 size, like 2048×1024). Don't use the latent that comes out of TextEncodeQwenImage21, because that one copies your photo's shape and you won't get a proper 2:1 panorama.

2. 25 steps, CFG 1.0, euler / simple.

That's it! Open the result in any 360 viewer and look around.

Tips for great results

• 📸 Your best photo goes first. image_1 becomes the center of the panorama. Extra photos get placed around it automatically.

• 🔄 Shoot from one spot. Stand still and turn. Photos taken from different places will confuse it.

• 📐 Normal photos work best. Regular phone or camera shots, held roughly level. Landscape, portrait or square are all fine. Skip fisheye shots, straight-up sky shots and already-stitched panoramas.

• 🏞️ More photos = more faithful. Anything your photos don't show gets invented. One photo works great, but 2-3 photos pointing in different directions get you closer to the real place.

• ✍️ Describe the whole place, not just your photo: where it is, the lighting (time of day, weather), and the mood. One sentence is plenty.

• 🎨 Turn off style or realism LoRAs. It was trained without them, and they can bend the panorama out of shape.

Good to know

• The left and right edges aren't forced to line up perfectly, so you might spot a seam right behind you.

• Big empty areas (behind you, straight up, straight down) are the model's best guess, not a reconstruction.

How it was trained

I took 232 free (CC0) 360° panoramas from Poly Haven covering streets, interiors, forests, beaches, deserts, mountains, ruins and more. From each one I cut out 1-3 random "photos" at different angles, zooms and shapes, just like you'd snap them with a phone. Then I taught the model to rebuild the whole panorama from those photos, with the first photo always in the center. That's 464 examples, 3000 steps, rank 32, trained with ai-toolkit.

About the showcase

Every panorama in the gallery was made from a single photo (shown right after it) with seed 7 and the settings above. The first five photos are free CC0 photos found on Openverse (from rawpixel and StockSnap). The grassy hilltop is a crop from one of the Poly Haven panoramas used in training.

Also on Hugging Face: Gogodr/qwen-image-2.1-edit-pano360-lora

Have fun exploring! 🧭