Model Details
Full Model IDsegmind/small-sd
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)226.0K
Likes34
Last Modified8/8/2023
Author / Orgsegmind
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="segmind/small-sd")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffusersstable-diffusionstable-diffusion-diffuserstext-to-imagedataset:recastai/LAION-art-EN-improved-captionsarxiv:2305.15798base_model:SG161222/Realistic_Vision_V4.0_noVAEbase_model:finetune:SG161222/Realistic_Vision_V4.0_noVAElicense:creativeml-openrail-mendpoints_compatiblediffusers:StableDiffusionPipelineregion:us
More Text to Image Models
See all →🚀 Use This Model
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
⬇ Downloads226.0K
❤️ Community Likes34
🛠️ 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.