Instructions to use adipanda/luffy-simpletuner-lora-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adipanda/luffy-simpletuner-lora-10 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("adipanda/luffy-simpletuner-lora-10") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5bc80de159610a992bd27adea2754acf00e90b02b1b79bcff86f3e1716f62f02
- Size of remote file:
- 194 MB
- SHA256:
- fd702444386edf8ffb80e16f4c1ed71ef539faee6f80c9f546ed1f44fe570f1e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.