🎨 Text to Image

stable-diffusion-v1-5

stable-diffusion-v1-5/stable-diffusion-v1-5

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diffusers
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Model Details
Full Model IDstable-diffusion-v1-5/stable-diffusion-v1-5
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)1.8M
Likes1.1K
Last Modified9/7/2024
Author / Orgstable-diffusion-v1-5
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="stable-diffusion-v1-5/stable-diffusion-v1-5")

# Run inference
result = pipe("Your input here")
print(result)
����� Tags
diffuserssafetensorsstable-diffusionstable-diffusion-diffuserstext-to-imagearxiv:2207.12598arxiv:2112.10752arxiv:2103.00020arxiv:2205.11487arxiv:1910.09700license:creativeml-openrail-mregion:us
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🚀 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.

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📊 Popularity
Downloads1.8M
����� Community Likes1.1K
🛠�� 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.
👋 Need help with code?