Juggernaut X (v10) is a ground-up retrain of the Juggernaut SDXL line. Not a fine-tune of v9 — the entire dataset was re-captioned with GPT-4 Vision, image classifications were rebuilt from scratch, and the model was trained fresh against an expanded, higher-quality image set. The result: noticeably better prompt adherence, cleaner shot-type control, and native text-rendering capability.

What's Different in X / v10

• 🧠 Retrained from the ground up — not fine-tuned on top of a previous Juggernaut.
• 👁️ GPT-4 Vision captioning — dataset re-captioned with detailed, structured language descriptions.
• 🎯 Stronger prompt adherence — does what you ask more often, with less wrestling.
• 📸 Cleaner shot-type classification — Full Body, Mid Shot, Portrait, etc., now distinct in the model's understanding.
• 🔤 Native text rendering — handles legible signage, labels, and short phrases directly.
• 🖼️ RunDiffusion Photo refinement — same photographic backbone that made v9 popular.

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Two Prompting Styles

X supports two distinct prompt styles. Pick whichever fits your workflow:

Style	Best for	Example
Natural language	Storytelling, scenes, complex instructions	"A photographer on a windswept cliff at golden hour, holding a vintage Leica, the ocean churning below"
Tagging	Quick iteration, established workflows, LoRA stacking	photograph, photographer, cliff, golden hour, vintage Leica camera, ocean, waves, cinematic lighting

📖 For deeper prompting technique — see the RunDiffusion prompting library. Free to read, no signup.

Two Ways to Run Juggernaut X

🚀 Easiest — Run it on RunDiffusion (recommended)

One-click access inside ComfyUI, Forge, Automatic1111, Fooocus, InvokeAI, or SwarmUI. Free trial included, plus access to every other Juggernaut model on the same account.

💻 Or run it locally — Diffusers

import torch
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained(
    "RunDiffusion/Juggernaut-X-v10",
    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_x_v10.png")

For ComfyUI / Forge / InvokeAI / SwarmUI: download the single-file checkpoint and drop it into your models/checkpoints/ directory.

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

Two Versions: SAFE and Standard

Juggernaut X ships in two flavors:

• Juggernaut X (this repo) — the standard creative model.
• Juggernaut X SAFE — a safety-tuned variant for workplace, education, and family-friendly contexts. Available exclusively on RunDiffusion via Fooocus. SAFE = Suitable Ai For Everyone.

Looking For Something Different?

Model	Why pick it
Juggernaut XL v9	The most popular Juggernaut — proven SDXL photorealism workhorse. 6M+ downloads.
Juggernaut XI v11	Continuation of the SDXL line, post-X refinement
Juggernaut Z	Lumina-Image-2 architecture — cinematic, presentation-ready
Juggernaut Pro Flux	FLUX.1 backbone — top-tier photo quality with strong consistency

Commercial Use

This model may not be deployed behind paid API services without explicit licensing. For commercial licensing, custom models, business inquiries, or consultation, contact juggernaut@rundiffusion.com.

You are free to use this model for personal and creative work under the terms of the CreativeML Open RAIL-M license.

Credits

Juggernaut X (v10) 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.

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