Instructions to use Simon5150/sofia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Simon5150/sofia 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Simon5150/sofia") prompt = "sofia" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- bb498a160b68866301d9bbe299d9e6caee035f68eb170eb19e9c398d00315841
- Size of remote file:
- 172 MB
- SHA256:
- 4d2cde1177b6bf08792fa4a46568dddae607235df4f723095df79892aab24c1d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.