Instructions to use twosyntaxerrors/MTS-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use twosyntaxerrors/MTS-lora 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("twosyntaxerrors/MTS-lora") prompt = "MTS" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dd0fc655e7d1b6e2c1fdf7914b4966fd23e91c19a867c08539e647a58b638707
- Size of remote file:
- 172 MB
- SHA256:
- 8f04b46168fbcf393d4ed63ea335141fd4dfc08c74d457b7d49c7eaab759c5cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.