Instructions to use Shinhati2023/Real_Woman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shinhati2023/Real_Woman with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/lob-realvisxl-v20", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shinhati2023/Real_Woman") prompt = "A beautiful lady" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- e65e06906121fb3306db358170bd2fb7e145c372d5a2a1e638c69bd5d05da628
- Size of remote file:
- 9.15 MB
- SHA256:
- 6430ab47393ba15222ea0988c3479f547c8b59f93a41024bcddd7121ef7147d1
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