Instructions to use JesusCorbeille/este2_face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JesusCorbeille/este2_face 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-V3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JesusCorbeille/este2_face") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
este_face2

- Prompt
- -
Trigger words
You should use este_face to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for JesusCorbeille/este2_face
Base model
black-forest-labs/FLUX.2-klein-9B Finetuned
wikeeyang/Flux2-Klein-9B-True-V3