Model Details
Full Model IDblack-forest-labs/FLUX.1-schnell
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)521.5K
Likes5.0K
Last Modified8/16/2024
Author / Orgblack-forest-labs
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="black-forest-labs/FLUX.1-schnell")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffuserssafetensorstext-to-imageimage-generationfluxenlicense:apache-2.0endpoints_compatiblediffusers:FluxPipelinedeploy:azureregion: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
⬇ Downloads521.5K
❤️ Community Likes5.0K
🛠️ 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.