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:
- 50097e80b3984a8bf7fb4bad1a0ff79fceaf26b4ac8a3bef6e4d9b30392e0f18
- Size of remote file:
- 341 MB
- SHA256:
- 81c96fcbcac98710ae507ebcd044084fa17396746183683205576d0ccf7ccaad
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