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:
- c6b592f0480996c31a9261d156ebdac81844228a159c64a91bb2813aebfbfdf7
- Size of remote file:
- 228 MB
- SHA256:
- a029bcf9afb84782f17212018b05e722ffaad02f0d1ce9a72692b257f652ac3c
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