Juggernaut XI is the latest evolution of the Juggernaut SDXL line. Like Juggernaut X, it was trained from the ground up with GPT-4 Vision captioning — but with another pass of dataset cleanup, refined shot-type classification, and improved aesthetic targeting on top. Sharper hands, faces, eyes, and composition; stronger prompt adherence; native text rendering; and the same RunDiffusion Photo detail refinement that made earlier versions popular.
What's Better in XI
- 🎨 Massively improved aesthetics — refined lighting, color, and composition vs. v10
- 🖐️ Better hands, eyes, faces, and overall human anatomy
- 🎯 Even stronger prompt adherence — XI does what you ask with less wrestling than X
- 📸 Cleaner shot-type classification — Full Body / Mid Shot / Portrait distinctions are crisper
- 🔤 Native text rendering — legible signage, labels, short phrases
- 💬 Two prompting styles — Natural language or Tagging (use whichever fits)
- 🖼️ RunDiffusion Photo refinement for fine detail
Two Prompting Styles
| Style | Best for | Example |
|---|---|---|
| Natural language | Storytelling, scenes, complex instructions | "A photographer on a windswept cliff at golden hour, holding a vintage Leica, ocean churning below" |
| Tagging | Quick iteration, established workflows | photograph, cliff, golden hour, vintage Leica, ocean, waves, cinematic lighting |
📖 For deeper prompting technique — see the RunDiffusion prompting library. Free to read, no signup.
Recommended Settings
| Parameter | Value |
|---|---|
| Resolution | 832 × 1216 (portrait) · 1216 × 832 (landscape) |
| Sampler | DPM++ 2M Karras |
| Steps | 30 – 40 |
| CFG scale | 3 – 7 (lower = more realistic) |
| VAE | Already baked in — no external VAE required |
For a faster variant, see Juggernaut XI Lightning — same XI base, distilled to 5–7-step inference.
Two Ways to Run Juggernaut XI
🚀 Easiest — Run it on RunDiffusion (recommended)
One-click access inside ComfyUI, Forge, Automatic1111, Fooocus, InvokeAI, or SwarmUI. No HF gate. No setup. Free trial included, plus access to every other Juggernaut model on the same account.
💻 Or run it locally — Diffusers
Note: XI is a gated model — you must accept the terms above and authenticate with
huggingface-cli login(or setHF_TOKEN) before pulling weights.
import torch
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained(
"RunDiffusion/Juggernaut-XI-v11",
torch_dtype=torch.float16,
use_safetensors=True,
).to("cuda")
prompt = "A photographer on a windswept cliff at golden hour, holding a vintage Leica, the ocean churning below, cinematic lighting, hyperdetailed photography"
image = pipe(prompt, width=832, height=1216, num_inference_steps=35, guidance_scale=5.0).images[0]
image.save("juggernaut_xi_v11.png")
The Rest of the Family
| Model | Why pick it |
|---|---|
| Juggernaut XL v9 | The most popular Juggernaut — proven SDXL workhorse. 6M+ downloads. |
| Juggernaut X v10 | Predecessor of XI — the first ground-up GPT-4V retrain |
| Juggernaut XI Lightning | XI quality at 5–7 steps |
| Juggernaut Z | Lumina-Image-2 architecture — cinematic, presentation-ready |
| Juggernaut Pro Flux | FLUX.1 backbone — top-tier photo quality |
License & Commercial Use
Juggernaut XI v11 is released under CC BY-NC-ND 4.0:
- BY — attribute RunDiffusion / KandooAI when sharing output.
- NC — non-commercial use only. Commercial use requires a license.
- ND — no derivatives. You may not redistribute modified versions, fine-tunes, or merges.
Additionally, this model may not be deployed behind paid API services or hosted on platforms that compete with RunDiffusion.com. For commercial licensing, custom models, or business inquiries, contact juggernaut@rundiffusion.com.
Credits
Juggernaut XI was created by KandooAI in collaboration with RunDiffusion. Dataset re-captioned with the GPT-4 Vision Captioning tool by LEOSAM. Photographic backbone by the RunDiffusion Photo team.