Model Details
Full Model IDunsloth/FLUX.2-klein-9B-GGUF
Pipeline / Taskimage-to-image
Libraryggml
Downloads (all-time)101.4K
Likes220
Last Modified1/16/2026
Author / Orgunsloth
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="unsloth/FLUX.2-klein-9B-GGUF")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
ggmlggufimage-generationunslothimage-editingfluxdiffusion-single-fileimage-to-imageenbase_model:black-forest-labs/FLUX.2-klein-9Bbase_model:quantized:black-forest-labs/FLUX.2-klein-9Blicense: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
⬇ Downloads101.4K
����� Community Likes220
🛠�� Requirements
- →Install: pip install ggml
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.