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:
- 0b124c3e2372047e5c86d67448a001940a09a42bfe737016fd321540eaf0485f
- Size of remote file:
- 14.3 kB
- SHA256:
- bdde60f9a8d109b6b3ff42eb31ddd465787c95f9777e2ef7d61a7f3645f5949a
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