Instructions to use Danielbsittler/Blink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danielbsittler/Blink 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-T2IV-V3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Danielbsittler/Blink") prompt = "Screenshot" 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/Screenshot 2026-06-02 at 11.32.20 AM.png
text: Screenshot
base_model: wikeeyang/Magic-Wan-T2IV-V3
instance_prompt: null
Blink

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