PanoPulse
PanoPulse generates 360° panoramas in seconds from a prompt or reference image, with virtual tour support and multi-format export
About PanoPulse
PanoPulse is a free AI 360° panorama generator. Enter a prompt or upload one reference photo, and you get a high-resolution 360 panorama in seconds. Output defaults to 2:1 equirectangular projection, with cubemap and fisheye stereographic projection available at export. The generation page includes the built-in Pano Image 1.0 model, with 2K resolution, Medium quality, and WebP format options, and supports 1–4 mood reference images to extract color, lighting, and composition cues. Generated scenes can be combined with interactive worlds and your own 360 images, then published as a branded visitor link. Each generation consumes 12 credits; new accounts include 25 free generations, with no credit card required and no watermark on output.
Best for
Best use cases
Generate the 360° scene images a virtual tour needs from a prompt
Produce 360° backgrounds for VR experiences
Create environment panorama assets for game worlds
Combine generated panoramas with your own 360 assets into a branded visitor link
Features
Multi-input 360 panorama generation
Enter a prompt or upload one reference photo to generate a high-resolution 360 panorama in seconds
Selectable model and export parameters
Built-in Pano Image 1.0 model, with 2:1 equirectangular frame, 2K resolution, Medium quality, and WebP format options
Guidance from mood reference images
Upload 1–4 mood reference images; the system extracts color, lighting, and composition cues to guide generation
Branded virtual tour publishing
Combine generated panoramas, interactive worlds, and your own 360 images, add scene links, then publish a branded visitor link
Pros
- New accounts include 25 free panorama generations, with no credit card and no watermark on output
- Two input modes, prompt and reference photo, deliver a high-resolution 360 image in seconds
- Output is cleared for commercial use, and by default your prompts, reference images, and results are not used to train models
- Export supports 2:1 equirectangular projection, cubemap, and fisheye stereographic projection
Cons
- Mood reference images are limited to 1–4
- Output defaults to 2:1 equirectangular projection; cubemap and fisheye stereographic projection must be selected separately at export