Instructions to use kewu93/three_styles_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kewu93/three_styles_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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kewu93/three_styles_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0c0a79b2363f7e00f889aebd735ae33cc7224e5e9a7ef38eaef2722c3704b7e2
- Size of remote file:
- 6.59 MB
- SHA256:
- 5690ceb8c41a0c7b8e16d15848b9f742f0709ceb1b1261d4f3c9685b4a920d42
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.