Instructions to use d-wang26/wd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use d-wang26/wd 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/wd", 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/examples/research_projects/README.md from d-wang26/wd: direct link, hf CLI and curl.
- Browser
- Download file 618 Bytes
-
https://huggingface.co/d-wang26/wd/resolve/main/diffusers/examples/research_projects/README.md
- Command line
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hf download hf://d-wang26/wd/diffusers/examples/research_projects/README.md
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curl -L -o README.md https://huggingface.co/d-wang26/wd/resolve/main/diffusers/examples/research_projects/README.md
618 Bytes
Research projects
This folder contains various research projects using 🧨 Diffusers. They are not really maintained by the core maintainers of this library and often require a specific version of Diffusers that is indicated in the requirements file of each folder. Updating them to the most recent version of the library will require some work.
To use any of them, just run the command
pip install -r requirements.txt
inside the folder of your choice.
If you need help with any of those, please open an issue where you directly ping the author(s), as indicated at the top of the README of each folder.