Instructions to use bagassi/ian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bagassi/ian 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-V2", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bagassi/ian") prompt = "a girl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: >-
images/Firefly_gpt-image_A 21-year-old Indonesian female influencer with
a little wave hair, smiling warmly at 325590.png
text: a girl
base_model: wikeeyang/Flux2-Klein-9B-True-V2
instance_prompt: null
ian

- Prompt
- a girl
Download model
Download them in the Files & versions tab.