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:
- 927a47e9efe00cb72317deff64fb4089c2ae581c95db5e3b4e333b3fe9bb55ae
- Size of remote file:
- 1.02 MB
- SHA256:
- 600695f477e6ac3bc5d711138ff1911fc38a8d510cf5b8a4a8d9040c3812b8c2
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