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
- Draw Things
- DiffusionBee
- Xet hash:
- 7e7ac9c723fcaf4e610fee4e0cdb8c1af018a7192f06473e62e0c17a096c5be7
- Size of remote file:
- 563 Bytes
- SHA256:
- f0819f1ed37263eee386bbf633042a77c7529d9816a9e2f0a21be55a80dffb69
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