Instructions to use Bigmakser/Sarah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bigmakser/Sarah 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/Magic-Wan-Image-V2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Bigmakser/Sarah") prompt = "-" 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/2.jpeg
text: '-'
- output:
url: images/image_2025-12-06_19-44-18.png
text: '-'
- output:
url: images/image_2025-12-06_19-44-18.png
text: '-'
base_model: wikeeyang/Magic-Wan-Image-V2
instance_prompt: S4r4hL1nn
Sarah

- Prompt
- -

- Prompt
- -

- Prompt
- -
Trigger words
You should use S4r4hL1nn to trigger the image generation.
Download model
Download them in the Files & versions tab.