Instructions to use evecruzjr/flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evecruzjr/flux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("evecruzjr/flux") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V1", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("evecruzjr/flux")
prompt = "-"
image = pipe(prompt).images[0]- Downloads last month
- 8
Model tree for evecruzjr/flux
Base model
black-forest-labs/FLUX.2-klein-9B Finetuned
wikeeyang/Flux2-Klein-9B-True-V1