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/.github/ISSUE_TEMPLATE/feature_request.md from d-wang26/wd: direct link, hf CLI and curl.
- Browser
- Download file 612 Bytes
-
https://huggingface.co/d-wang26/wd/resolve/main/diffusers/.github/ISSUE_TEMPLATE/feature_request.md
- Command line
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hf download hf://d-wang26/wd/diffusers/.github/ISSUE_TEMPLATE/feature_request.md
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curl -L -o feature_request.md https://huggingface.co/d-wang26/wd/resolve/main/diffusers/.github/ISSUE_TEMPLATE/feature_request.md
612 Bytes
metadata
name: 🚀 Feature Request
about: Suggest an idea for this project
title: ''
labels: ''
assignees: ''
Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is. Ex. I'm always frustrated when [...].
Describe the solution you'd like. A clear and concise description of what you want to happen.
Describe alternatives you've considered. A clear and concise description of any alternative solutions or features you've considered.
Additional context. Add any other context or screenshots about the feature request here.