Model Details
Full Model IDblack-forest-labs/FLUX.1-dev
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)716.0K
Likes13.0K
Last Modified6/27/2025
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-dev")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
diffuserssafetensorstext-to-imageimage-generationfluxenlicense:otherendpoints_compatiblediffusers:FluxPipelineregion: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.
All Text to Image Models →📊 Popularity
⬇ Downloads716.0K
����� Community Likes13.0K
🛠�� 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.