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:
- 3ba0061e974e1c2b76c4d19c1334750f05a0e80e5c8332c94093bb7d46c17712
- Size of remote file:
- 228 MB
- SHA256:
- 3ff0090ca594421f4657d5b241e588da2e3ada0ae242be2e6f61fe3f821551c5
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