Model Details
Full Model IDstabilityai/stable-diffusion-xl-refiner-1.0
Pipeline / Taskimage-to-image
Librarydiffusers
Downloads (all-time)220.7K
Likes2.0K
Last Modified9/25/2023
Author / Orgstabilityai
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("image-to-image", model="stabilityai/stable-diffusion-xl-refiner-1.0")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
diffuserssafetensorsstable-diffusionimage-to-imagearxiv:2307.01952arxiv:2211.01324arxiv:2108.01073arxiv:2112.10752license:openrail++diffusers:StableDiffusionXLImg2ImgPipelineregion:us
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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: image-to-image
This model is designed for the image-to-image task. Explore more models for this use case.
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⬇ Downloads220.7K
����� Community Likes2.0K
🛠�� 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.