Model Details
Full Model IDcity96/FLUX.2-dev-gguf
Pipeline / Taskimage-to-image
Librarygguf
Downloads (all-time)211.2K
Likes156
Last Modified11/29/2025
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("image-to-image", model="city96/FLUX.2-dev-gguf")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
ggufimage-generationimage-editingfluxdiffusion-single-fileimage-to-imagebase_model:black-forest-labs/FLUX.2-devbase_model:quantized:black-forest-labs/FLUX.2-devlicense:otherregion:us
More image-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: image-to-image
This model is designed for the image-to-image task. Explore more models for this use case.
All image-to-image Models →📊 Popularity
⬇ Downloads211.2K
❤️ Community Likes156
🛠️ 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.