Instructions to use debadas/ronaldo_longer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use debadas/ronaldo_longer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("debadas/ronaldo_longer") prompt = "a photo of sks man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 47b892bcee0656e24ed9b985e65569003363d41b43e0df46e75241e9f57652e4
- Size of remote file:
- 6.59 MB
- SHA256:
- c5c8234d38bc4f10fc2fd07fa5be6b78a510a36d834d91e045c4612de723a90b
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