Instructions to use falgasdev/oiledskin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falgasdev/oiledskin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("falgasdev/oiledskin") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from falgasdev/oiledskin: direct link, hf CLI and curl.
- Browser
- Download file 327 Bytes
-
https://huggingface.co/falgasdev/oiledskin/resolve/main/README.md
- Command line
-
hf download hf://falgasdev/oiledskin/README.md
-
curl -L -o README.md https://huggingface.co/falgasdev/oiledskin/resolve/main/README.md
327 Bytes
