Instructions to use duja1/roy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use duja1/roy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("duja1/roy", dtype=torch.bfloat16, device_map="cuda") prompt = "r123oy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9e51626d35f7b718c6dce8a4cf83a2aeada6beaf1b773e68f5fac5095322a09d
- Size of remote file:
- 492 MB
- SHA256:
- 695d9a3527dac0597d7374b9d99452968fbfc42820990f7a7a6a61ac273af55c
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