Model Details
Full Model IDblack-forest-labs/FLUX.2-klein-base-4B
Pipeline / Taskimage-to-image
Librarydiffusers
Downloads (all-time)1.5M
Likes126
Last Modified2/24/2026
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("image-to-image", model="black-forest-labs/FLUX.2-klein-base-4B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffuserssafetensorstext-to-imageimage-editingfluxdiffusion-single-fileimage-to-imageenlicense:apache-2.0diffusers:Flux2KleinPipelineregion:us
More image-to-image Models
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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: 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
⬇ Downloads1.5M
❤️ Community Likes126
🛠️ 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.