Model Details
Full Model IDdiffusers/stable-diffusion-xl-1.0-inpainting-0.1
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)351.1K
Likes374
Last Modified9/3/2023
Author / Orgdiffusers
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="diffusers/stable-diffusion-xl-1.0-inpainting-0.1")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
diffuserssafetensorsstable-diffusion-xlstable-diffusion-xl-diffuserstext-to-imageinpaintingarxiv:2112.10752base_model:stabilityai/stable-diffusion-xl-base-1.0base_model:finetune:stabilityai/stable-diffusion-xl-base-1.0license:openrail++diffusers:StableDiffusionXLInpaintPipelineregion: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: Text to Image
This model is designed for the Text to Image task. Explore more models for this use case.
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⬇ Downloads351.1K
����� Community Likes374
🛠�� 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.