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:
- f56fafda9d53f113a83a2cbf9bd2b8889ec664091c74e12e2e15602e5491217e
- Size of remote file:
- 6.59 MB
- SHA256:
- 7ecca7208548b266eca1b3cc126711d71af0aca9f8c38c0ed971e7cfa8acc829
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