import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v8", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]
Juggernaut XL v8 by RunDiffusion
The final RunDiffusion Photo v1 release before v9's Photo v2 leap.
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.
When to use v8
- 🔬 You have LoRAs or pipelines validated against v8 and want exact consistency.
- 🎨 You prefer v8's slightly softer contrast and lighting profile vs. v9's punchier output.
- 📚 You're auditing the Juggernaut release line for research or comparison.
For new projects, start with the latest Juggernaut models instead.
🚀 Don't pick a version. Try every Juggernaut on RunDiffusion.
v8, v9, X, XI, Z, and Pro Flux — all pre-loaded. Switch in two clicks. No installs. No model downloads.
Pre-loaded into ComfyUI · Forge · Automatic1111 · Fooocus · InvokeAI · SwarmUI
The Newer Juggernauts
| Model | Why upgrade |
|---|---|
| Juggernaut XL v9 | Direct successor — RunDiffusion Photo v2, sharper skin, stronger lighting. 6M+ downloads. |
| Juggernaut X v10 / XI v11 | Ground-up retrains with GPT-4V captions — better prompt adherence |
| Juggernaut Z | Lumina-Image-2 architecture — cinematic, presentation-ready |
| Juggernaut Pro Flux | FLUX.1 backbone — top-tier photo quality |
Two Ways to Run Juggernaut XL v8
🚀 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-XL-v8",
torch_dtype=torch.float16,
use_safetensors=True,
).to("cuda")
prompt = "Cinematic mid shot photo of an astronaut walking through a neon-lit Tokyo alley at night, hyperdetailed photography, skin details, shallow depth of field"
image = pipe(prompt, width=832, height=1216, num_inference_steps=35, guidance_scale=5.0).images[0]
image.save("juggernaut_xl_v8.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 |
| Hi-Res fix | 4xNMKD-Siax_200k upscaler · 15 steps · 0.3 denoise · 1.5× upscale |
Useful Prompt Keywords
Architecture Photography · Wildlife Photography · Car Photography
Food Photography · Interior Photography · Landscape Photography
Hyperdetailed Photography · Cinematic Movie · Still Mid Shot Photo
Full Body Photo · Skin Details
📖 Want to go deeper? See the RunDiffusion prompting library. Free to read, no signup.
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 XL v8 was created by KandooAI in collaboration with RunDiffusion. Photographic backbone: RunDiffusion Photo v1.
Ready to generate?
v8, v9, and every other Juggernaut — one click away on RunDiffusion.
Compare the full Juggernaut lineup · Prompting guides · Commercial licensing
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