Instructions to use iliketoasters/miniature-people with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iliketoasters/miniature-people with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("iliketoasters/miniature-people") prompt = "raw photo, m1n1p3ople, a miniature bride and groom on top of a wedding cake, kissing, at a wedding reception" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
#1
by furaidosu - opened
I changed the base model to Schnell.
It works, trust me.
Just have to wait a few minutes until the model is loaded again, and the generations on the widget are in a few seconds.
iliketoasters changed pull request status to merged