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:
- 145e65e7988e1ef3d70455212f8049efe552a80728a761c7a81a174d60a9f9c1
- Size of remote file:
- 6.59 MB
- SHA256:
- a821e542111360f081e16408aa976c66c54dfe7eebd69ea1e5dd716468071b1a
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