Views
No views yet
Juggernaut XL Lightning is the speed-optimized member of the Juggernaut family — built on SDXL Lightning distillation, it produces photo-grade Juggernaut output in just 5–7 inference steps instead of the usual 30–40. Same aesthetic, ~5× faster, ideal for batch generation, real-time iteration, and live demos.
These are different from standard Juggernaut. Lightning needs fewer steps and lower CFG.
| Parameter | Value |
|---|---|
| Sampler | DPM++ SDE or DPM++ SDE Karras |
| Steps | 5 – 7 |
| CFG scale | 1.5 – 2.0 |
| Resolution | ≥ 1024 × 1024 (use SDXL-native sizes) |
| VAE | Already baked in — no external VAE required |
1import torch
2from diffusers import DiffusionPipeline, DPMSolverSinglestepScheduler
3
4pipe = DiffusionPipeline.from_pretrained(
5 "RunDiffusion/Juggernaut-XL-Lightning",
6 torch_dtype=torch.float16,
7 use_safetensors=True,
8).to("cuda")
9
10# DPM++ SDE Karras
11pipe.scheduler = DPMSolverSinglestepScheduler.from_config(
12 pipe.scheduler.config, use_karras_sigmas=True
13)
14
15prompt = "Cinematic mid shot photo of an astronaut walking through a neon-lit Tokyo alley at night, hyperdetailed photography, skin details, shallow depth of field"
16
17image = pipe(prompt, width=1024, height=1024, num_inference_steps=6, guidance_scale=1.8).images[0]
18image.save("juggernaut_xl_lightning.png")models/checkpoints/ directory.| Model | Best for |
|---|---|
| Juggernaut XL v9 | The flagship SDXL — full-step photorealism workhorse. 6M+ downloads. |
| Juggernaut XI v11 | Latest SDXL-line refinement |
| Juggernaut XI Lightning | Speed variant on the XI base |
| Juggernaut Z | Lumina-Image-2 architecture — cinematic, presentation-ready |
| Juggernaut Pro Flux | FLUX.1 backbone — top-tier photo quality |