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
- Xet hash:
- 3ce0b8d4b9bd1d5684b018cee042acd064d75a5897e4bee3b2766538f4613e7c
- Size of remote file:
- 47.4 MB
- SHA256:
- b43d780d2a33cb04a4365335b6501dd25da25ef5246180ece1cc63bfd553ee74
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