Text-to-Image
Diffusers
stable-diffusion
lora
art
graphic
style
illustration
music video
wake up
dreaming
Instructions to use CiroN2022/wake-up with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CiroN2022/wake-up with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("CiroN2022/wake-up") prompt = "a man with a flower in his hair " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download 3062431.jpeg from CiroN2022/wake-up: direct link, hf CLI and curl.
- Browser
- Download file 25.5 kB
-
https://huggingface.co/CiroN2022/wake-up/resolve/main/3062431.jpeg
- Command line
-
hf download hf://CiroN2022/wake-up/3062431.jpeg
-
curl -L -o 3062431.jpeg https://huggingface.co/CiroN2022/wake-up/resolve/main/3062431.jpeg
25.5 kB
