Diffusers
English
lora
stable diffusion
stable diffusion lora
anime
stable diffusion sdxl
sdxl
lora xl
Instructions to use MLbackup/SDXL_Scraped_Loras_2024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/SDXL_Scraped_Loras_2024 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MLbackup/SDXL_Scraped_Loras_2024") 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
- Xet hash:
- aa0fa019fb4a2753ce5fd4e818edf0b3c41c3a68b4f3836606bcb818c13cacd6
- Size of remote file:
- 171 MB
- SHA256:
- 770d6afac394c2ff6706e93a030a7a9696fbc4fcd4f631a85ee74a685d35bc65
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.