Instructions to use QFun/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QFun/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("QFun/lora-trained-xl") prompt = "a photo of rgb5_mix woman in front of the green curtain" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 384bb38683b86ecbb8dfd558455724cc504973c8df42e2ca630d25906fcb8d93
- Size of remote file:
- 1.26 MB
- SHA256:
- a6fe0028ea8d1091b12d47f466c2c8076ea7e2728c36ad9e42d52a4c5468aef4
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