Model Details
Full Model IDcity96/FLUX.1-dev-gguf
Pipeline / Tasktext-to-image
Librarygguf
Downloads (all-time)198.9K
Likes1.5K
Last Modified8/18/2024
Author / Orgcity96
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="city96/FLUX.1-dev-gguf")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
gguftext-to-imageimage-generationfluxbase_model:black-forest-labs/FLUX.1-devbase_model:quantized:black-forest-labs/FLUX.1-devlicense:otherregion: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
⬇ Downloads198.9K
❤️ Community Likes1.5K
🛠️ Requirements
- →Install: pip install gguf
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.