Model Details
Full Model IDwikeeyang/Flux2-Klein-9B-True-V2
Pipeline / Tasktext-to-image
Librarydiffusers
Downloads (all-time)516.5K
Likes191
Last Modified7/13/2026
Author / Orgwikeeyang
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="wikeeyang/Flux2-Klein-9B-True-V2")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
diffusersgguftext-to-imageenzhbase_model:black-forest-labs/FLUX.2-klein-9Bbase_model:finetune:black-forest-labs/FLUX.2-klein-9Blicense: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
⬇ Downloads516.5K
❤️ Community Likes191
🛠️ 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.