Instructions to use diffusers/lora-trained-xl-potato-head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/lora-trained-xl-potato-head with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-xl-base-0.9", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("diffusers/lora-trained-xl-potato-head") prompt = "a photo of sks character" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a782eb5c753ede514546a2c1d01705ab121c804f4ad0c8a46d62d9414eb4b476
- Size of remote file:
- 47.4 MB
- SHA256:
- 0fede15ee90f4156695193a2229f0d28fa59f21d75ddbc20d7c045562417306a
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