Instructions to use microsoft/Lens-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use microsoft/Lens-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("microsoft/Lens-Turbo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add base_model metadata (microsoft/Lens)
#3
by victor HF Staff - opened
This repo currently has no base_model set in its card metadata, so it doesn't appear in any model's tree:
base_model:
- microsoft/Lens
Setting this will surface the model in microsoft/Lens's Model Tree (under its quantizations/finetunes) and improve discoverability for people browsing from the base model.
Feel free to merge directly (or close).