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:
- 99710715830f1b613bffedd7d5fbc6e7a9fef98d4f95d5e987dcbdcc659cf20a
- Size of remote file:
- 171 MB
- SHA256:
- eb0a32e60647af442c9fde27bf05dce2ffa55088fb29f423565d2edffe7d57ad
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