Instructions to use rehanhaider/vectors-training-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rehanhaider/vectors-training-sdxl-1.0 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("rehanhaider/vectors-training-sdxl-1.0") prompt = "in the style of wlat_mntn" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- b038329d01e1f18479e31eababc801ee9918e5eb608ef0c88666f0304f531d99
- Size of remote file:
- 2.16 MB
- SHA256:
- ce815594bf141be518d914a70917bf5523fdc7c85d784b8b009320dfdab7aa59
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