Loop Forge

One reference, six scenes

From Qwen-Image 2.1 Turbo, run locally

Frame from the Turbo, 8 steps, city street result
Turbo, 8 steps, city streetDownload JPG0.2 MB
Frame from the Turbo, 8 steps, cliff path result
Turbo, 8 steps, cliff pathDownload JPG0.2 MB
Frame from the Turbo, 8 steps, workshop result
Turbo, 8 steps, workshopDownload JPG0.2 MB
Frame from the Turbo, 8 steps, library result
Turbo, 8 steps, libraryDownload JPG0.2 MB
Frame from the Turbo, 8 steps, kitchen result
Turbo, 8 steps, kitchenDownload JPG0.2 MB
Frame from the Turbo, 8 steps, platform result
Turbo, 8 steps, platformDownload JPG0.2 MB
Frame from the Base 2.1, 40 steps, city street result
Base 2.1, 40 steps, city streetDownload JPG0.2 MB
Frame from the Base 2.1, 40 steps, cliff path result
Base 2.1, 40 steps, cliff pathDownload JPG0.2 MB
Frame from the Base 2.1, 40 steps, workshop result
Base 2.1, 40 steps, workshopDownload JPG0.2 MB
Frame from the Base 2.1, 40 steps, library result
Base 2.1, 40 steps, libraryDownload JPG0.2 MB
Frame from the Base 2.1, 40 steps, kitchen result
Base 2.1, 40 steps, kitchenDownload JPG0.2 MB
Frame from the Base 2.1, 40 steps, platform result
Base 2.1, 40 steps, platformDownload JPG0.2 MB
Output
832×1216
Turbo, 8 steps
23.3 to 24.1 s per image
Base 2.1, 40 steps
62.9 to 63.5 s per image
Turbo sampling
8, euler, trained sigmas (ManualSigmas), cfg 1.0
Base sampling
40, euler / simple, cfg 1.0
Seed
21
Ran on
RTX 3060, 12GB (local)

What was wired in

The prompts

Download workflow
Place the person from the image in a busy city street at night, lit by shop signs, standing on the pavement and looking toward the camera, framed from the waist up.