Instructions to use xAlexClashRoyale/RandomStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xAlexClashRoyale/RandomStyle 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("xAlexClashRoyale/RandomStyle") prompt = "random style, 1girl, sitting on the bench" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- e6a7026723c8fb814313fe724c0326b1b814617a50d2e1d6060593ffb0962635
- Size of remote file:
- 228 MB
- SHA256:
- b2feabbec36c47003dc6891b2b4e193276f78589691d684b108d36c246287235
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