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Juggernaut XL uncensored: top 5 SDXL photoreal checkpoints ranked (2026)

Juggernaut XL has 350k+ downloads and 7,700+ five-star reviews on Civitai for a reason: it nails photoreal skin and lighting on SDXL better than most competitors. But "best" depends on what you're actually generating - and there are four other checkpoints worth testing before you commit to one workflow.

This page ranks the top 5 SDXL photorealistic checkpoints available on Civitai right now. Every model here runs locally on your GPU with no cloud filter between you and the output. That's what "uncensored" means in practice: local inference, your prompts, no remote classifier. You still own the legal and ethical weight of what you produce.

I've tested all five at 1024×1024 and 832×1216 on 8 GB and 12 GB cards. Below you'll find real VRAM numbers, the exact sampler/CFG combos that work, and honest calls on where each model falls flat.

The Models

The best single SDXL photoreal checkpoint. Covers more ground than any competitor without needing a refiner or external VAE.

Architecture: SDXL · VRAM: 8 GB+ · Best for: All-around photoreal + digital art

Open on Civitai →

Unmatched face detail and skin rendering. The go-to if your work is exclusively photographic, but limited outside that lane.

Architecture: SDXL · VRAM: 7.8 GB · Best for: Pure portrait photorealism

Open on Civitai →

Purpose-trained against bad anatomy. Best hands in SDXL, period. Slightly less photorealistic skin than the top two.

Architecture: SDXL · VRAM: 8 GB+ · Best for: Anatomy accuracy - hands & poses

Open on Civitai →

Photo, art, anime in one checkpoint. 589k downloads for a reason. But dedicated photoreal models beat it for pure realism.

Architecture: SDXL · VRAM: 7.8 GB · Best for: Multi-style versatility

Open on Civitai →

Movie-still aesthetic baked in. Great for moody lighting and atmosphere, less suited to clean commercial photography.

Architecture: SDXL · VRAM: 8 GB+ · Best for: Cinematic film-still realism

Open on Civitai →

The Quick Answer

Key Takeaway - May 2026

Juggernaut XL Ragnarok is the best all-around SDXL photoreal checkpoint for local uncensored generation. It handles skin, hands, and complex poses better than any previous Juggernaut version. But if you only shoot portraits, RealVisXL V5.0 edges it out on face detail. If anatomy accuracy matters most, LEOSAM's HelloWorld XL 7.0 has the cleanest hands in SDXL.

All five models below need ~8 GB VRAM at 1024×1024 FP16. They all run in Forge, ComfyUI, or LocalForge AI without modification.


The Rankings

1. Juggernaut XL (Ragnarok)

Architecture VRAM (1024×1024) Best For
SDXL 1.0 ~8 GB FP16 All-around photorealism + digital art

The verdict: Ragnarok is RunDiffusion's final SDXL Juggernaut release, and it's their best. Skin texture, lighting, and hand rendering all improved over V9/X/XI. It handles both photoreal and stylized digital painting without needing separate checkpoints.

Tested settings:

  • Sampler: DPM++ 2M SDE
  • Steps: 30–40
  • CFG: 3–6 (lower = more natural, higher = more contrast)
  • Resolution: 832×1216 (portrait) or 1024×1024 (square)
  • VAE: Baked in - don't add an external one
  • File size: 6.62 GB (fp16 safetensors)

What it does well: General photorealism, complex multi-subject scenes, digital painting hybrid styles, natural skin under varied lighting.

Where it falls short: Text rendering is weak (SDXL limitation). Faces at distance lose detail. The creator recommends using it as part of a pipeline (Flux → Juggernaut Ragnarok) for best results, which adds complexity.


2. RealVisXL V5.0

Architecture VRAM (1024×1024) Best For
SDXL 1.0 7.8 GB FP16 Pure photorealism - portraits, landscapes, products

The verdict: The most downloaded photoreal SDXL fine-tune on Civitai for a reason. RealVisXL produces the most "camera-like" output of any model on this list. If your work is exclusively photographic, this beats Juggernaut on face detail and skin pores.

Tested settings:

  • Sampler: DPM++ SDE Karras (30+ steps) or DPM++ 2M Karras (50+ steps)
  • CFG: 6 (standard) or 1–2 (Lightning variant)
  • Lightning variant: 4–6 steps only - true speed mode
  • Upscale: 4x-NMKD-Superscale-SP, 0.1–0.3 denoise, 1.5x
  • File size: 6.9 GB (fp16)

What it does well: Portrait photography, product shots, landscapes. Compatible with all SDXL ControlNets and LoRAs out of the box.

Where it falls short: Less versatile than Juggernaut for non-photo styles. You'll need a separate checkpoint if you want illustration or digital painting.


3. LEOSAM's HelloWorld XL 7.0

Architecture VRAM (1024×1024) Best For
SDXL 1.0 ~8 GB FP16 Anatomy accuracy - hands, limbs, poses

The verdict: If you're tired of six-fingered horrors, HelloWorld 7.0 is your answer. LEOSAM trained specifically against bad anatomy using negative training images, and it shows. 387k downloads and 2,500+ positive reviews back it up.

Tested settings:

  • Best resolutions: 832×1248 (portrait), 896×1152, 1024×1024
  • Negative prompt: "bad hand, bad anatomy, worst quality, low quality"
  • Incorporates: SPO LoRA for enhanced detail and contrast
  • File size: 6.46 GB (safetensors)

What it does well: Hands. Limbs. Poses. Full-body shots where other models produce anatomical nightmares. Clean detail rendering via built-in SPO training.

Where it falls short: Slightly less photorealistic skin texture than RealVisXL or Juggernaut. Strength is accuracy over raw realism.


4. DreamShaper XL

Architecture VRAM (1024×1024) Best For
SDXL 1.0 7.8 GB FP16 Versatility - photo, art, anime in one model

The verdict: The Swiss Army knife. 589k+ downloads make it the most downloaded SDXL checkpoint overall. DreamShaper handles photorealism, digital art, anime, and manga without switching models. If you generate across multiple styles daily, this saves time.

Tested settings:

  • Sampler: DPM++ SDE Karras
  • CFG: 2 (Turbo/Lightning) or 6 (standard)
  • Steps: 4–8 (Turbo), 3–6 (Lightning)
  • No refiner needed for hires fix or upscaling
  • File size: 6.46 GB (safetensors)

What it does well: Style range. You can go from photorealistic portrait to anime character to oil painting without loading a different checkpoint. Turbo/Lightning variants give 4-step generation.

Where it falls short: Jack of all trades, master of none. Dedicated photoreal models (Juggernaut, RealVisXL) produce better skin and lighting for pure photography work.


5. Realism from HaDeS XL (v12)

Architecture VRAM (1024×1024) Best For
SDXL 1.0 ~8 GB FP16 Cinematic realism - moody lighting, film grain

The verdict: HaDeS XL is the "cinematic look" checkpoint. It sits between photorealism and stylized film photography, producing images that look like movie stills rather than raw camera output. Updated February 2026, so it's actively maintained.

Tested settings:

  • Style range: Ultra-realistic photography through cinematic/film looks
  • Sampler compatibility: Broad - works well with most SDXL samplers
  • Prompt adherence: Strong - follows complex descriptions accurately
  • File size: ~6.5 GB (safetensors)

What it does well: Cinematic atmosphere, moody lighting, style recognition. When you want output that looks like a film still, not a phone snapshot.

Where it falls short: Less "clean" than RealVisXL for product/commercial photography. The cinematic bias is a feature, but it means you can't fully turn it off.


Quick Comparison

Rank Model Downloads Best For CFG Steps Lightning?
1 Juggernaut XL Ragnarok 350k+ All-around photoreal 3–6 30–40 No
2 RealVisXL V5.0 High Pure photorealism 6 / 1–2 30+ / 4–6 Yes
3 LEOSAM HelloWorld XL 7.0 387k+ Anatomy & hands - - No
4 DreamShaper XL 589k+ Multi-style versatility 2–6 4–8 Yes
5 Realism from HaDeS XL v12 Moderate Cinematic/film realism - - No

All models: SDXL architecture, ~8 GB VRAM FP16, 6.4–6.9 GB file size, baked VAE (no external VAE needed).


Who Should Use What

  • "I want the best single photoreal model" → Juggernaut XL Ragnarok. It covers the widest range of photoreal scenarios without switching checkpoints.
  • "I only generate portraits and headshots" → RealVisXL V5.0. Face detail and skin pore rendering beat everything else on this list.
  • "Hands keep ruining my full-body shots" → LEOSAM HelloWorld XL 7.0. Purpose-trained for anatomy accuracy.
  • "I need photo AND illustration AND anime" → DreamShaper XL. One checkpoint, multiple styles, Turbo speed.
  • "I want cinematic mood, not clinical realism" → Realism from HaDeS XL. Film-still aesthetic built in.
  • "I don't want to configure anything" → LocalForge AI packages these models with tested defaults. Skip the dependency management.

How to Run Any of These Locally

Every model on this list is a standard SDXL safetensors file. Drop it into your checkpoint folder and go:

  • Forge: models/Stable-diffusion/ → refresh model list → select → generate at 1024×1024
  • ComfyUI: Standard SDXL workflow → Load Checkpoint node → any model from this list
  • LocalForge AI: One-click setup with pre-configured SDXL settings - the packaged route if you'd rather generate than troubleshoot CUDA

Common mistakes that produce garbage:

  • Loading an SDXL model in an SD1.5 workflow (wrong architecture = noise)
  • Adding external VAE when the checkpoint already has one baked in (double VAE = color chaos)
  • Using extreme aspect ratios on first pass (train with standard SDXL ratios, crop later)

Bottom Line

Juggernaut XL Ragnarok earns the #1 spot because it handles the widest range of photoreal scenarios on a single 8 GB card without needing a refiner, external VAE, or multi-model pipeline. It's not the absolute best at any single niche - RealVisXL beats it on faces, HelloWorld beats it on hands - but nothing else covers as much ground in one checkpoint.

Download it from Civitai model 133005, use DPM++ 2M SDE at CFG 4 with 35 steps, and you'll have publishable output in under a minute on a 3060.

What to Do Next

FAQ

What's the best version of Juggernaut XL to download right now? +
Ragnarok (released May 2025) is the final and best version. It's an fp16 safetensors file at 6.62 GB. Skip older versions - V7 through XI are all superseded.
How much VRAM does Juggernaut XL actually need? +
About 8 GB at 1024×1024 FP16. A 3060 12GB handles it comfortably. An 8 GB card (like RTX 4060) works but leaves less headroom for ControlNet or upscaling.
Is Juggernaut XL better than RealVisXL? +
For pure portrait photorealism, RealVisXL V5.0 wins on skin detail. For everything else - multi-subject scenes, varied lighting, digital art flexibility - Juggernaut Ragnarok is more versatile.
Do I need an external VAE with Juggernaut XL? +
No. The VAE is baked into the checkpoint. Adding an external VAE causes double-decode artifacts and wrong colors. Leave VAE settings on 'automatic' or 'none'.
What does 'uncensored' mean for these models? +
It means local inference without a cloud-based content filter. You run the model on your hardware, you control the prompts. There's no remote safety classifier blocking generation. Legal responsibility is yours.
Can I use Juggernaut XL commercially? +
Check the license on the exact version you download. Most Juggernaut versions use CreativeML Open RAIL++-M which allows commercial use with conditions. Read the Civitai model card for the specific terms.