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:
- e94a9774d16286f47f842803843cef22e5758e093f225cf75f9dd0919b307307
- Size of remote file:
- 6.59 MB
- SHA256:
- 245aaf16ab875e64d42e2b6aec0c1acb176083a38c7c619ae054d37898bc6f41
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