Instructions to use joachimsallstrom/Double-Exposure-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joachimsallstrom/Double-Exposure-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("joachimsallstrom/Double-Exposure-Diffusion", 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 v2_sample_images_2.jpg from joachimsallstrom/Double-Exposure-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 399 kB
-
https://huggingface.co/joachimsallstrom/Double-Exposure-Diffusion/resolve/refs%2Fpr%2F7/v2_sample_images_2.jpg
- Command line
-
hf download hf://joachimsallstrom/Double-Exposure-Diffusion@refs/pr/7/v2_sample_images_2.jpg
-
curl -L -o v2_sample_images_2.jpg https://huggingface.co/joachimsallstrom/Double-Exposure-Diffusion/resolve/refs%2Fpr%2F7/v2_sample_images_2.jpg
399 kB
