Instructions to use IsaacAkintaro/household_diffusion_tutorial_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsaacAkintaro/household_diffusion_tutorial_output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IsaacAkintaro/household_diffusion_tutorial_output", 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
Download samples/0002.png from IsaacAkintaro/household_diffusion_tutorial_output: direct link, hf CLI and curl.
- Browser
- Download file 287 kB
-
https://huggingface.co/IsaacAkintaro/household_diffusion_tutorial_output/resolve/main/samples/0002.png
- Command line
-
hf download hf://IsaacAkintaro/household_diffusion_tutorial_output/samples/0002.png
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curl -L -o 0002.png https://huggingface.co/IsaacAkintaro/household_diffusion_tutorial_output/resolve/main/samples/0002.png
287 kB
