Instructions to use AndrzejDD/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AndrzejDD/lora-trained-xl 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("AndrzejDD/lora-trained-xl") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 1d069184f49b2bc40aaada551f05f62923fe5aebd3f843d33c25a5ec3182f746
- Size of remote file:
- 1.57 MB
- SHA256:
- 71df3d95bdcfaaeaecdf13cfb9a6a4456b5143e552f50e55b821df2417adbb5e
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