Juggernaut-X-Hyper
RunDiffusion基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Basic profile indexed · More details to follow
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗DISCOVER & COMPARE
Explore AI models 12
Juggernaut-X-v10
RunDiffusionThe ground-up retrain — GPT-4V captions, sharper prompt adherence, native text rendering. > 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. - 🧠 **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.
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-XI-Lightning
RunDiffusion基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Basic profile indexed · More details to follow
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-XI-v11
RunDiffusionThe latest evolution of the Juggernaut SDXL line — sharper aesthetics, better hands, faces, and prompt adherence. > 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. - 🎨 **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
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-XL
RunDiffusion基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-XL-Lightning
RunDiffusion> 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. - ⚡ **Batch generation** — render hundreds of variations in the time you'd usually generate a few. - 🔁 **Real-time iteration** — preview prompt changes in seconds, not minutes. - 💻 **Lower-end hardware** — fewer steps means lower VRAM pressure during inference. - 🎤 **Live demos and showcases** — instant turnaround when latency is the bottleneck. If you need the very best per-image quality and don't mind the wait, use **Juggernaut XL v9** instead — full-step inference holds slightly more detail.
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-XL-v6
RunDiffusion基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-XL-v7
RunDiffusion基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-XL-v8
RunDiffusion> Juggernaut XL v8 is the final release in the **RunDiffusion Photo v1** generation of the Juggernaut SDXL line — the version directly before the v9 jump to Photo v2. Useful if you have workflows or LoRAs tuned against the v8 aesthetic, or want the predecessor's slightly softer photographic feel. v8, v9, X, XI, Z, and Pro Flux — all pre-loaded. Switch in two clicks. No installs. No model downloads. 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.
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-XL-v9
RunDiffusion6M+ downloads on Hugging Face · Overwhelmingly Positive on Civitai · 26 months in production > Juggernaut XL is the most popular SDXL fine-tune in the world. Version 9 — co-developed by **KandooAI** and **RunDiffusion**, integrating **RunDiffusion Photo v2** — is the proven photorealism workhorse trusted by **hundreds of thousands of creators**: 6M+ all-time downloads on Hugging Face, 1.5M+ on Civitai, and an *Overwhelmingly Positive* rating across 7,780+ reviews. The SDXL ecosystem is the single most mature corner of open image generation, and v9 is its most refined photorealism checkpoint. Choose Juggernaut XL v9 when you want:
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-Z-Image
RunDiffusion> Juggernaut Z is a fine-tune of **Z-Image Base** by **Team Juggernaut**, trained by **KandooAI**, and released through **RunDiffusion**. It is tuned for stronger lighting, sharper focus, more refined skin texture, and more cinematic atmosphere — out of the box. This repository hosts the official RunDiffusion release artifacts: full-precision weights, FP16 and FP8 variants, and a full set of GGUF quantizations. - More dramatic, cinematic **lighting** out of the box - Sharper **focus** and a more deliberate camera feel - Cleaner **portraits** with more natural skin texture - Improved **anatomy** and structural integrity - Better representation across **ethnicities** by default - Tuned for editorial, concept, and cinematic work
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Juggernaut-Z-Image-Fast
RunDiffusion基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗No matching models
Adjust provider, category or input/output filters. New models are added continuously.
COST EXPLORER
Great models. Clear costs.
Adjust monthly token usage to compare estimated API costs.
1 M = 1 million tokens · USD
Compares base text-token rates within the same channel
Compares base text-token rates within the same channel
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
MODEL HANDBOOK
Understand before you choose
How should API prices be compared?+
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Do open weights mean free commercial use?+
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Is the top-ranked model the best for me?+
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.