Text-to-Image
Diffusers
Safetensors
English
lora
t2i
photorealistic
woman
celebrity
likeness
FLUX.2-klein-base-9B
klein
Instructions to use pmczip/FLUX.2-klein-9B_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pmczip/FLUX.2-klein-9B_Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pmczip/FLUX.2-klein-9B_Models") prompt = "A portrait of 413xkin65t0n with curly auburn hair and blue eyes. She wears a black and white lace-up top and shiny black leather pants. A gold necklace and multiple bracelets adorn her wrists. She has a silver ring on her left hand. Her pose is confident, with one hand resting on her hip and the other on her thigh. The background is plain white, highlighting the subject. The image style is contemporary and edgy, emphasizing the subject's clothing and accessories. " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- 1.18 MB xet
- 965 kB xet
- 870 kB xet
- 905 kB xet
- 1.05 MB xet
- 1.02 MB xet
- 1.01 MB xet
- 865 kB xet
- 1.1 MB xet
- 971 kB xet
- 1.04 MB xet
- 975 kB xet
- 959 kB xet
- 1.01 MB xet
- 841 kB xet
- 970 kB xet
- 1.03 MB xet
- 810 kB xet
- 1.04 MB xet
- 1.08 MB xet
- 1.14 MB xet
- 1.39 MB xet
- 963 kB xet
- 975 kB xet
- 1.13 MB xet
- 931 kB xet
- 810 kB xet
- 961 kB xet
- 1.06 MB xet
- 1.02 MB xet
- 1.08 MB xet
- 1.23 MB xet
- 1.02 MB xet
- 1.18 MB xet
- 998 kB xet
- 756 kB xet
- 915 kB xet
- 1.06 MB xet
- 1.36 MB xet
- 961 kB xet
- 1.15 MB xet
- 1.26 MB xet
- 921 kB xet
- 859 kB xet
- 830 kB xet
- 1 MB xet
- 4.2 MB xet
- 1.02 MB xet
- 948 kB xet
- 1.1 MB xet