Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
endpoints-template
Instructions to use philschmid/stable-diffusion-v1-4-endpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use philschmid/stable-diffusion-v1-4-endpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("philschmid/stable-diffusion-v1-4-endpoints", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download create_handler.ipynb from philschmid/stable-diffusion-v1-4-endpoints: direct link, hf CLI and curl.
- Browser
- Download file 6.1 kB
-
https://huggingface.co/philschmid/stable-diffusion-v1-4-endpoints/resolve/refs%2Fpr%2F4/create_handler.ipynb
- Command line
-
hf download hf://philschmid/stable-diffusion-v1-4-endpoints@refs/pr/4/create_handler.ipynb
-
curl -L -o create_handler.ipynb https://huggingface.co/philschmid/stable-diffusion-v1-4-endpoints/resolve/refs%2Fpr%2F4/create_handler.ipynb
6.1 kB