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Juggernaut-XL v8 - AI Image Models Tool

Overview

Juggernaut-XL v8 is a fine-tuned text-to-image diffusion model built on top of Stability AI’s Stable Diffusion XL (SDXL) base. The model is part of the RunDiffusion collection and is optimized for photo‑realistic art generation, emphasizing high-fidelity rendering of faces, materials, and cinematic lighting. The model card on Hugging Face identifies the base as stabilityai/stable-diffusion-xl-base-1.0 and distributes the model under the creativeml-openrail-m license, which includes usage restrictions; the author also states the model cannot be served behind API services and that business or commercial licensing inquiries must be directed to the maintainer by email. Juggernaut-XL v8 is targeted at creatives who need photorealistic imagery for concept art, product mockups, and visual storytelling. Because it is a fine-tuned SDXL variant, it is typically compatible with SDXL tooling such as Hugging Face Diffusers and community UIs that support SDXL-format checkpoints. Public metrics on the model page indicate modest community traction (several thousand downloads and a small number of likes), but no formal external benchmarks or published academic evaluations are provided on the model page.

Model Statistics

Downloads: 5,894
Likes: 18
Pipeline: text-to-image

License: creativeml-openrail-m

Model Details

Architecture and base: Juggernaut-XL v8 is a fine-tuned checkpoint derived from stabilityai/stable-diffusion-xl-base-1.0 (SDXL). According to the model card on Hugging Face, the checkpoint is intended for text-to-image generation and is distributed under the creativeml-openrail-m license. The model card does not publish specific parameter counts, training dataset details, or the exact fine-tuning procedure. Capabilities: As an SDXL-based fine-tune, Juggernaut-XL v8 is designed for photo-realistic outputs—suitable for portraits, product visualizations, and cinematic scenes—while retaining the conditioning behavior of SDXL (text prompts, negative prompts, guidance scale). Because the model is hosted on Hugging Face, it is typically consumable via the Diffusers pipeline (StableDiffusionXLPipeline or compatible wrappers), assuming local execution and compliance with the model’s license restrictions. The model card explicitly notes it cannot be used behind API services and indicates commercial licensing discussions should be handled directly with the maintainer.

Key Features

Fine-tuned on SDXL 1.0 for enhanced photo-realism and material fidelity
Optimized for portraits, product mockups, and cinematic scene generation
Distributed under the creativeml-openrail-m license with usage restrictions
Compatible with SDXL tooling and Hugging Face Diffusers for local inference
Maintainer requires direct contact for commercial licensing and API restrictions

Example Usage

Example (python):

from diffusers import StableDiffusionXLPipeline
import torch

# Load Juggernaut-XL v8 from the Hugging Face Hub. You may need to set auth_token if the repo requires login.
model_id = "RunDiffusion/Juggernaut-XL-v8"

# Example: load in float16 for GPU inference
pipe = StableDiffusionXLPipeline.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    revision="main"
)
pipe = pipe.to("cuda")

prompt = "A photorealistic portrait of a woman in cinematic lighting, ultra-detailed, 35mm lens"

# Guidance (classifier-free guidance) and inference options can be passed via the pipeline call
image = pipe(prompt, guidance_scale=7.5, num_inference_steps=28).images[0]
image.save("juggernaut_output.png")

# NOTE: Check the model license (creativeml-openrail-m) and the model card before using.
# The model card states this model cannot be used behind API services and that commercial licensing
# inquiries should be made by contacting the maintainer directly.