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
| 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 | |
| <Gallery /> | |
| ## Download model | |
| [Download](/bagassi/ian/tree/main) them in the Files & versions tab. | |