Model Details
Full Model IDJohn6666/diving-illustrious-real-asian-v50-sdxl
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)350.2K
Likes0
Last Modified9/19/2025
Author / OrgJohn6666
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-image", model="John6666/diving-illustrious-real-asian-v50-sdxl")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffuserssafetensorstext-to-imagestable-diffusionstable-diffusion-xlrealisticphotorealisticphotorealasianillustriousenbase_model:OnomaAIResearch/Illustrious-xl-early-release-v0base_model:finetune:OnomaAIResearch/Illustrious-xl-early-release-v0license:otherendpoints_compatiblediffusers:StableDiffusionXLPipelineregion:us
More Text to Image Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎨 Task: Text to Image
This model is designed for the Text to Image task. Explore more models for this use case.
All Text to Image Models →📊 Popularity
⬇ Downloads350.2K
❤️ Community Likes0
🛠️ Requirements
- →Install: pip install diffusers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.