Instructions to use diffusers/lora-trained-xl-keramer-face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/lora-trained-xl-keramer-face 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-keramer-face") prompt = "a photo of sks person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from diffusers/lora-trained-xl-keramer-face: direct link, hf CLI and curl.
- Browser
- Download file 921 kB
-
https://huggingface.co/diffusers/lora-trained-xl-keramer-face/resolve/main/image_2.png
- Command line
-
hf download hf://diffusers/lora-trained-xl-keramer-face/image_2.png
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curl -L -o image_2.png https://huggingface.co/diffusers/lora-trained-xl-keramer-face/resolve/main/image_2.png
921 kB
