Instructions to use d-wang26/mk1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use d-wang26/mk1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("d-wang26/mk1", 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
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Download diffusers/docs/source/en/api/utilities.md from d-wang26/mk1: direct link, hf CLI and curl.
- Browser
- Download file 961 Bytes
-
https://huggingface.co/d-wang26/mk1/resolve/main/diffusers/docs/source/en/api/utilities.md
- Command line
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hf download hf://d-wang26/mk1/diffusers/docs/source/en/api/utilities.md
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curl -L -o utilities.md https://huggingface.co/d-wang26/mk1/resolve/main/diffusers/docs/source/en/api/utilities.md
961 Bytes
Utilities
Utility and helper functions for working with 🤗 Diffusers.
numpy_to_pil
[[autodoc]] utils.numpy_to_pil
pt_to_pil
[[autodoc]] utils.pt_to_pil
load_image
[[autodoc]] utils.load_image
export_to_gif
[[autodoc]] utils.export_to_gif
export_to_video
[[autodoc]] utils.export_to_video
make_image_grid
[[autodoc]] utils.make_image_grid