🤖 image-to-image

FLUX.2-klein-9b-fp8

black-forest-labs/FLUX.2-klein-9b-fp8

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186
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diffusers
Library
Model Details
Full Model IDblack-forest-labs/FLUX.2-klein-9b-fp8
Pipeline / Taskimage-to-image
Librarydiffusers
Downloads (all-time)44.4K
Likes186
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-9b-fp8")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
diffusersimage-generationimage-editingfluxdiffusion-single-fileimage-to-imageenlicense:otherregion:us
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🚀 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
Downloads44.4K
❤️ Community Likes186
🛠️ 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.
👋 Need help with code?