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:
- 03f302b0ac20a3ef235dc5bd0b8031527efbc27e0f42fd49c3ebfbfa18a97cdb
- Size of remote file:
- 228 MB
- SHA256:
- f874a74ac873397a4c67ea5c1e15a0a88729f15435dc3688a3affda38c5922df
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