Instructions to use uncropped/ruby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uncropped/ruby with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("uncropped/ruby") prompt = "zPDXL3, rubyj4y, realistic, brown hair, long hair, brown eyes, jewelry, lips, earrings, breasts, midriff, bare shoulders, sitting, freckles, smile, teeth, <lora:ruby_jay:1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 5a59c45271b7b1dca9c891ffd4416640223e30cea8fe0638b8bc03009c41c741
- Size of remote file:
- 2.72 MB
- SHA256:
- eec70881f19fec42b4b6dab5d40f25240c35c3be7aacb26a96f863fd0fe45229
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