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。
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探索 AI 模型 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.
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查看详情 ↗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。
基础资料已收录 · 缺失资料后续补充
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查看详情 ↗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
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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.
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查看详情 ↗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。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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.
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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:
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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。
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗暂未找到匹配模型
可以调整厂商、分类或输入输出条件；新模型正持续收录。
COST EXPLORER
好模型，也要算好成本。
调整月度 Token 用量，直观比较不同模型的预估 API 开支。
1 M = 100 万 Token · 美元计价
仅比较同一渠道的基础文本 Token 报价
仅比较同一渠道的基础文本 Token 报价
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照；不计缓存优惠、阶梯价、推理额外输出与税费，请以来源的当前报价为准。
MODEL HANDBOOK
读懂模型，再做选择
API 价格应该怎么比较？+
先区分输入、输出和缓存价格，再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费，不能直接与 Token 单价比较。
开放权重，就代表可以免费商用吗？+
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
排行榜第一，就是最适合我的模型吗？+
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本，再选择模型。