Instructions to use mywang/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mywang/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("mywang/lora-trained-xl") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5920efe09c87175cd30e68063b8fd99d2da19f77aad9358a6f881c8295bdc09e
- Size of remote file:
- 23.6 MB
- SHA256:
- 422a3f532f2dce22b90955a31ba02e53e65f4ac1e7685cbe38ab50b01d7bca4c
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